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iphoenixrising · 1 year

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Masterlist 3

Tim-centric con't

Red Robin tweaks: BatDad & Boomerang | Fallen (What if Dick didn't catch Tim | Kon catches Tim

Tim Drake Week: Day 2: Sick Bird| Day 6 (Firefly fusion) | Day 7 (Injury/Healing)

Whirlybird!!!! BABE MADE ME A WHIRLYBIRD & HC

Kid!Tim: De-Aged!Tim: Not trusting the BatFam ... but the Titans | Kid!Tim works (Different ways Tim joins the Bats earlier):Tiny!Tim au on Ao3 | Kid!Tim is discovered by Robin!Jason & Window Seat & Tiny!Tim au: The Fever & Tiny!Tim and the Secret (for 500 Followers!) & Tiny!Tim and The Wrong Bus | Tiny!Tim and Tiny!Peter ask | Home for Tiny Birds (Convergence w/ NHFDB!Tim): One & Two | Jason's Death (HCs): One & Two & Three

Converging the AUs:

"Feels" by iphoenixrising , a graphic by Miss Coco Chips | Convergence

Home for Tiny Birds: NHFDB!Tim visits Tiny!Tim

Fracture!Tim meets Talon!Tim & Dr!Tim | Sated (NSFW HC)

Fracture: the Multiverse & Future!AU

Boy All the Bad Guys Want:

Pamphlets: One (based on this ) & Two

Joker Junior: One & Two

Jean Paul One & Two

Talon!AU: in which Tim is a Talon & RR without Tim & Mindfuckery & Titans on the Hunt | Gray Son must Die (in which babe wrote most of the thing) & Functionally Immortal & Brainwashed, Hurting, Dissociating, Angry, and Lost & the Assassin & the Talon | Refuge w/ Shiva & A Killer | Rebuilt & vs Fracture!Tim

Dr!Tim (DickTimJay; in which Tim is a trauma surgeon and DickJay are vigilantes)

Meta: on AO3 | Art in which I cry with joy | How it all Began (light NSFW) | Follow-Up

The Submissive & Safeword (HC) & Safewords Out & Sub-Drop | Not Safewording Ask | Annnd Consequences

London Bridge: is Falling & (Missing Scene) & Afterward w/ guest star, Tony Stark!

That whole thing at Arkham Dr!Tim and Arkham Riots: One & Two | Arkham Breakout | But, that's not all Dr!Tim and Fear

Tony Stark in Dr!Tim: The Surgeon, The Captain, and the Soldier (for 600 followers!) | SteveTonyBucky (for 700 followers!)

BatFam Prompts, Drabbles, & Thoughts

Interest (see also "DickTimJay: Destroyed")

SuperBats

Fic Recs: Funeral & Dr Oz by awkwardbluefish Calling It by reallyautomaticvoid

Damian

Headcanons: on Tim & Shiva | Characterization | as a Boyfriend and NSFW specifically w/ Jason and also with Dick

Dami and ...: Dick & Tim at the Arcade | Tim & Don't panic, but we accidentally got marries | Comfort | Robin's Redemption (for 400 followers!)

Fic Rec: DamiTim by hauntedlittledoll

DamiTim Nurse Tim! Robin!Dami WIP on Ao3 | Concept | Alph!Dami/Alph!Jon/Omega!Tim: The original ask| Tim & Dami

Night Sky

Jason

Jason Todd's mouth & Languages (HC) | Jason's Accent & its inspiration

v. the Pit and then I saw Counting Bodies like Sheep

Misc: Jason, the Outlaws, and the Joker | Crochet | RHatO #25!UA | Silence (tw warning: major character death) | Bottom Jason Todd Week: Daddy Kink, Rare pair Jay/Thomas Elli Heavy in your Arms: One & Two (Angst; Based off the song with the same title by Florence + the Machine)

Marvel

Misc

Miraculous Ladybug Play | The Way to His Heart

Check Please!Check Please WIP | WIP 2

Voltron: all because of satire-please Team Dynamics | Left Behind | Waking | You, Not the Lion

#masterlist #masterlist 3 #winter writes #we have some fics here

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filthforfriends · 4 months

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It's not Ryan Tedder, it's Ryan Wheeler, different person. And it's one of the producers Damiano has been working with for his solo album. I think you've missed some chapters if you expect new band music soon.

Miss a few chapters I did indeed, but I’d rather Dami get the pop-rock out of his system and wait for a new Må album. What’s interesting is that he spoke about going solo as something in the distant future in the Allison Hagendorf interview so I’m interested in what accelerated that decision. He also said it was something he had to do because it terrified him and honestly I see that fear. At the MusiCares gala he sounded great (Paul McCartney gave him a standing O) but was he magnetic, compelling, a force of nature? No.

I’ve definitely noticed rebranding around Damiano: no makeup, men’s haircut, men’s clothes. I see less of his natural behaviors lately like effeminate gestures, giddy silliness, social justice awareness, abandoning inhibitions, exploring femininity, prioritizing privacy. It’s like he’s wearing a traditional masculinity costume, packaging himself for optimal marketability. No secret here that I prefer Måneskin weird, wacky, and outspoken so

#maneskin #måneskin #damiano david #må #thomas raggi #damiano #damiano maneskin #victoria de angelis #ethan torchio

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charlicpace · 9 months

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name masterlist: love island uk edition ! some folks like to stick to names that are more 'realistic' & my favourite place to look for those names is reality tv, because... well, that's their names ! so here's a list of every name that's ever popped up on the uk version of love island ( seasons 1-8 ) so all these names are perfect for characters aged 18-40 if we're going off ( uk-based ! ) actual likelihood.

aaron

abigail

adam

afia

alex

alexandra

alexi

amy

anna

andrea

andrew

anton

amber

amelia

arabella

belle

ben

bethany

billy

biggs

brad

brett

callum

cally

camilla

cara

caroline

charlie

ched

cheyenne

chloe

chris

chyna

clarisse

coco

craig

curtis

daisy

dale

dami

dan

daniel

danielle

danica

danny

darylle

davide

dean

deji

dennon

demi

dom

ellie

elma

ellisha

emma

eva

eve

ekin-su

eyal

faye

finn

francesca

frankie

gabby

gemma

george

georgia

grace

greg

hannah

harley

harry

hayley

hugo

iain

idris

ikenna

india

jack

jacques

jade

james

jamie

jake

javi

jay

jazmine

jess

joanna

joe

john

jonny

jordan

josh

kady

kalia

katie

kaz

kazimir

kem

kendall

kieran

lacey

laura

lauren

lavena

lexi

liam

liana

liberty

lillie

lucie

lucinda

luis

luke

malia

malin

marcel

marino

maura

maria

mary

marvin

matthew

maya

max

medhy

megan

michael

mike

molly

montana

nabila

naomi

nas

natalia

nathan

niall

olivia

oliver

ollie

omar

ovie

paige

paul

poppy

priscilla

priya

sam

salma

samira

savanna

scott

shannen

shaugna

sharon

sherif

siannise

simon

sophie

summer

stephanie

stevie

steve

rachel

rebecca

remi

reese

rob

rosie

rykard

tasha

teddy

terry

theo

tina

toby

tom

tommy

tony

travis

troy

tyla

tyler

tyne

wallace

wes

yewande

zara

zoe

#i love using real life examples bc like............. yes friends people DO have unusual names #or really pretty names!!!#and always have!!!!!#name feel too old people-y?? NAH GO FOR IT #rpc #rph #rpcw #name help #masterlist #character r #character names #character creation #rpcha

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reynanghugot · 1 month

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kanina i message Kade and Paul [@/sinceriouslyy and @/curioshittyy] kasi isa sila sa nakita ng struggle ko before simula NTC days talagang pati pag di pasa ng boards ni Paul, pagtulong ni Kade sa akin. You name it, alam nila. nakita nila. Kaya kanina, nung nag sink in na sa akin yung candidacy kasi i received my coc na, no hesitations nag message talaga ako, nag thank you sa kanila kasi despite of everything talaga na nangyari sa akin, isa sila sa naka suporta pa rin. never ng judge ng life choices ko, ng outcome ng studies ko kahit na dami kong times na tinalkshit ko sila during our bondings. Sobra ko talaga na a-appreciate yung friendship na meron ako with them sila talaga yung isa sa for keeps na from here to irl.

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lectures-sur-le-bateau-ivre · 8 months

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Sur Tartuffe : adaptations

Commençons donc avec ce qui a le moins à voir avec la pièce, une version écourtée de la pièce, mise en scène par Maurice Béjart en 1981.

Casting : Cléante - Bernard Dhéran, Mme Pernelle - Catherine Samie, Orgon - Michel Aumont, Elmire - Geneviève Casile, Tartuffe - Michel Duchaussoy, Dorine - Virginie Pradal, Valère - Raymond Acquaviva, Damis - Guy Michel, Mariane - Marcelline Collard

Mise en scène classique, mais saupoudrée de Béjart (donc décors un peu spéciaux, maquillage très marqué pour les personnages doubles comme Tartuffe). Super performance de Michel Aumont, qui donne à voir un Orgon complètement hypnotisé par Tartuffe (et c’est là qu’@aramielles me dit que c’est normal d’être hypnotisé par le talent de Michel Duchaussoy). J’avoue que je n’arrivais pas à déterminer si Elmire était un peu intéressée par lui ou si elle était juste extrêmement saoulée (merci m’dame Casile). Une déclaration d’amour à l’acte III qui est désespérée comme je les aime. Oh nevermind ??? Elmire intéressée ??? OH MY GOD. Orgon qui s’agenouille devant Tartuffe et lui baise la main rien que pour lui dire bonjour. Béjart I love you. Imagerie chrétienne homoérotique, on apprécie. Globalement le Tartuffe de Duchaussoy est un bon petit connard manipulateur, il jette un regard méprisant sur Orgon à ses genoux, franchement une excellente pétasse qui sied bien pour le rôle.

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Deuxième version, celle de 1975, mise en scène de Jacques Charon.

Casting : Orgon - Jacques Charon, Robert Hirsch - Tartuffe, Jacques Toja - Cléante, Michel Duchaussoy - Monsieur Loyal, François Beaulieu - L’Exempt, Jean-Noël Sissia - Damis, Bernard Alane - Valère, Denise Gence - Mme Pernelle, Claude Winter - Elmire, Françoise Seigner - Dorine, Catherine Salviat - Mariane, Denise Pezzani - Flipote

Encore une mise en scène classique, on aime. Cet Orgon a l’air un peu con (spécialité de Charon). Tartuffe, coupe au bol absolument ridicule (la laideur comme laideur de l’âme ? C'est un lieu commun que je repère parfois dans Tartuffe, où un Tartuffe moche est souvent joué comme ridicule, alors qu’un Tartuffe qu’on embellit physiquement est joué comme plutôt charmeur). Légèrement précieux, doucereux, on est carrément dans la première façon de jouer le rôle, c’est-à-dire en gros cliché, et on ne comprend presque pas comment Orgon peut être à ce point aveugle pour ne pas voir qu’il est double. Il est aussi carrément graveleux lors de la déclaration d’amour, et franchement il m’évoque plus une espèce de cancrelat qu’on a envie d’écraser qu’un manipulateur de génie (super performance d’Hirsch cependant). Une Elmire magnifique (merci m’dame Winter) et oh ! Un François Beaulieu sauvage apparaît en fin de pièce pour faire L’Exempt.

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Troisième version, de 1960, mise en scène de Louis Seigner (encore une classique).

Casting : Tartuffe - Louis Seigner, André Falcon - Damis, Paul-Emile Deiber - Orgon, Louis Eymond - L’Exempt, Henri Rollan - Cléante, Jean-Louis Jemma - Valère, René Arrieu - Monsieur Loyal, Berthe Bovy - Mme Pernelle, Andrée de Chauveron - Dorine, Annie Ducaux - Elmire, Nagali de Vendeuil - Mariane, Janine Dehelly - Flipote

L’Orgon de Deiber a l’air un peu neurasthénique, sans avoir l’air con il n’a pas l’air complètement dépendant, ça me donne l’impression bizarre que cet Orgon aurait pu se défendre de tout s’il avait prêté un peu plus attention à ce qu’il se passe chez lui (même si Tartuffe, quand on l’accuse une première fois, use énormément d’ironie pour se qualifier de pécheur, et Orgon prend ça premier degré). Tartuffe-Seigner est parfaitement jouissif à regarder, mais on reste exactement dans le schéma classique d’un personnage ridicule. Succulente Elmire, drôle à souhait (merci Annie Ducaux). Bref, ici la bonne vieille pièce familiale, quoi.

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Quatrième version, de 1971, mise en scène de Marcel Cravenne (une autre mise en scène classique)

Casting : Michel Bouquet - Tartuffe, Delphine Seyrig - Elmire, Jacques Debary - Orgon, Luce Garcia-Ville - Dorine, Madeleine Clervanne - Mme Pernelle, Claude Giraud - Cléante, Edith Garnier - Mariane, Bernard Alane - Valère, Jacques Weber (ô surprise) - Damis, Paul Le Person - Monsieur Loyal, Robert Party - L’Exempt, Christine Chicoine - Flipote

C’est marrant, cet Orgon là a plus l’air amusé en début de pièce de Tartuffe, plutôt que de dépendre de lui. Quand on accuse Tartuffe, il réagit plutôt comme si on avait donné un coup de pied dans son chiot préféré. (grmrgmrmg le Cléante de Giraud. Cet homme me rend fou depuis Les Rois Maudits). Petiot Weber, il est pitchoune. Ah, Delphine Seyrig…La fée des lilas à jamais pour moi, mais quelle bonne Elmire (et quelle belle femme jésus seigneur). Un Tartuffe très intéressant, puisqu’il n’est pas ridicule car il n’a pas l’air faux lors de sa déclaration, il a juste l’air un peu dégueulasse ; mais surtout, il brise l’apparent fil rouge de l’interprétation de ce rôle en étant enlaidi par le costume et les postiches, mais en étant totalement manipulateur.

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Cinquième version, de 1980, mise en scène de Jean Pignol (encore et toujours une mise en scène classique)

Casting : Tartuffe - Michel Galabru, Orgon - Bernard Fresson, Elmire - Yolande Folliot, Dorine - Micheline Dax, Cléante - Pierre Gallon, Mme Pernelle - Germaine Delbat, Mariane - Nathalie Serrault, Valère - Eric Legrand, Damis - Jean-Renaud Garcia, Monsieur Loyal - Georges Montillier, L’Exempt - Pierre Negre, Laurent - Georges Sayad, Flipote - Sonia Laurent

Wow un opening directement sur la petite famille en train de prier avec Tartuffe ? Innovative ! On dirait que Tartuffe est d’abord le dealer d’Orgon parce qu’il est très, très calme au début. Ou alors il est homosexuel, au vu de la façon dont il dit “il venait d’un air doux tout vis-à-vis de moi se mettre à deux genoux”. Le Tartuffe de Galabru est bon mais grâce à l’acteur plutôt qu’au rôle lui-même, parce qu’il lui donne justement ce côté double et ridicule (les cheveux bien gras, on pourrait utiliser la moumoute comme friteuse). Opinion tout à fait personnelle, j’aime pas le jeu de Fresson . Et définitivement, Galabru joue beaucoup sur le côté dégueu et graveleux qu’on peut facilement donner à Tartuffe. Une version, ma foi, pas la meilleure, mais pas un échec non plus.

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Sixième version, de 1997 (retour au Français !), mise en scène de Georges Bensoussan (à quand autre chose qu’une mise en scène classique ?)

Casting : Dorine - Catherine Ferran, Orgon - Jean Dautremay, Mariane - Anne Kessler, Tartuffe - Philippe Torreton, Monsieur Loyal - Igor Tycska, Elmire - Cécile Brune, Mme Pernelle - Nathalie Nerval, Cléante - Christian Blanc, Valère - Olivier Dautrey, Damis - Eric Ruf, L’Exempt - Bruno Raffaelli, Flipote - Stéphanie Labbé, Laurent - Patrick Olivier

Décors blancs, un peu art contemporain, innovative ! Chaque costume est une couleur vive (sauf Tartuffe et Orgon, en noir, et Cléante, en marron), mais qui permet d’identifier immédiatement les personnages et surtout les fait ressortir sur le fond blanc. Jumpscare de Ruf avec une perruque absolument horrible. Aww, mini Anne Kessler, elle est pitchoune. Ô surprise, Ruf a un jeu décent ? (je le respecte en tant que metteur en scène, et je ne m’y connais pas assez en histoire du Français pour dire si c’est un bon administrateur, mais comme comédien…Il m’excusera mais je ne supporte pas son jeu). Je trouve qu’on revient à l’Orgon soit con, soit qui s’en fout un peu en début de pièce. Quoique, on pourrait dire que c’est un Orgon qui commence à développer un autre courant d’interprétation du personnage, celui de la dépendance affective forte (Tartuffe qui lui fait des petites caresses sur l’épaule ???). Dépendance affective de fou ou homosexualité cachée, c’est vous qui voyez. Torreton est jouissif, pétasse à souhait, ironique quand on l’accuse, au physique affreux avec sa perruque graisseuse (leitmotiv chez les costumiers ?). Chose intéressante, la confession de Tartuffe semble désespérée, mais elle est tellement teintée de fausseté qu’on n’y croit pas du tout. Cécile Brune (dieu quelle femme) fait une Elmire hautaine devant Tartuffe que j’A-DORE. Nouveau jumpscare de Ruf qui sort d’une fenêtre cachée haut dans le mur au lieu de sortir d’un cabinet. Bon dieu Cécile Brune, quelle femme, Elmire joue la carte séduction à fond pour l’acte IV. Tartuffe qui commence à se foutre à oilp ??? Ok why not. Costume très très très pailleté pour Tartuffe en fin de pièce. Écoutez, une mise en scène intéressante, des comédiens pas trop tartes, moi je dis que ça fait une bonne pièce.

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Septième version, de 2022, mise en scène Ivo van Hove (youpi ! une mise en scène moderne, histoire de changer un peu)

Casting : Cléante - Loïc Corbery, Orgon - Denis Podalydès, Mme Pernelle - Claude Mathieu, Damis - Julien Frison, Dorine - Dominique Blanc, Tartuffe - Christophe Montenez, Elmire - Marina Hands, Flipote - Héloïse Cholley, et pas de M. Loyal ou d’Exempt ni de Laurent, apparemment ?

Peut-on vraiment dire que je l’ai vue ? Non, je n’ai pas vu cette pièce au cinéma. Mais j’ai des photos et des extraits, de là je pose mon jugement. J’aime beaucoup les mises en scène de van Hove, qui sont souvent minimalistes et font ressortir tout le jeu des comédiens, aussi en posant une sorte de centre de scène où tout se passe. Les costumes noirs tranchent avec la pâleur des comédiens, et le carré blanc en plein milieu de la scène ressemble à un ring où les personnages s’affrontent. Autre lieu commun chez van Hove, on relève la brutalité et la violence et du texte et des personnages en eux-mêmes : tout le monde s’empoigne, se bat, se hurle dessus, c’est une famille complètement disloquée qu’on nous présente. Dominique Blanc en Dorine est parfaite. Corbery est un Cléante désillusionné, à la limite du désespéré de voir son beau-frère comme ça. Julien Frison, lui, campe un Damis qui semble moins furieux, plus un petit garçon qui voit son père s’éloigner de lui. Ma seule question est : comment envisagent-ils la pièce sans Mariane ? Est-elle juste citée ? Le moment très comique entre Orgon et Dorine serait simplement coupé ? Je n’aurais sûrement jamais la réponse, à moins que cette pièce vienne un jour sur le site de l’INA. Marina Hands est une Elmire qui floute complètement la ligne séparant deux interprétations : Elmire qui joue un rôle pour empêcher le mariage entre Tartuffe et Mariane et confondre Tartuffe à l’acte IV, ou une Elmire véritablement intéressée par Tartuffe. Une scène assez éloquente est visible dans la bande-annonce, qu’on peut replacer justement à l’acte IV, et Elmire ne semble pas beaucoup se défendre d’un Tartuffe qui lui embrasse la nuque. Mais les deux personnages les plus intéressants sont ici Orgon et Tartuffe. Pour Orgon, Podalydès joue complètement sur l’ambiguïté constante entre Tartuffe et Orgon : apparemment complètement dépendant affectif, le “il en va de ma vie” semble très vrai ; et certaines images donnent à penser que van Hove introduit dans sa mise en scène un certain homoérotisme malsain entre ces deux personnages (et encore de l’imagerie chrétienne mise au service de l’homoérotisme, merci m’sieur van Hove). Mais pour moi, le personnage le plus fascinant est Tartuffe (Christophe Montenez mon dieu quel talent incroyable). Si il est dans “le modèle Jouvet”, c’est-à-dire un Tartuffe charmant, séduisant même, et surtout très sincère dans sa déclaration à Elmire, et qui pense croire à tout ce qu’il dit sur le Ciel, Montenez a une approche différente du personnage. Il est malsain ; quand il rentre dans une pièce, on a comme un frisson de gêne : le costume (chemise blanche, cravate blanche, mais veste noire à certains moments), la coiffure (des cheveux coupés très ras) et le maquillage (qui lui donne une pâleur mortelle et un visage émacié) n’aident pas à nous le rendre sympathique. Le ton doucereux (méprisant lorsqu’il parle à Dorine) contribue à cette impression. Surtout, c’est un Tartuffe violent, qui arrive à l’Acte III la chemise tachée de sang, due à la mortification qu’il s’est imposé (en début de pièce, apparemment ? la bande-annonce ne permet pas de le situer). Bref, une mise en scène brutale et légèrement subversive, typique du metteur en scène, qui je crois serait très intéressante à voir.

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Je vous ai réservé ma mise en scène préférée pour la fin, huitième version, de 2021, théâtre à la table, direction artistique d’Eric Ruf (qui compte comme une mise en scène moderne ?)

Casting : Mme Pernelle - Claude Mathieu, Tartuffe - Eric Génovèse, Elmire - Clotilde de Bayser, Cléante - Hervé Pierre, Monsieur Loyal, Un Sergent, et L’Exempt - Nicolas Lormeau, Orgon - Didier Sandre, Damis - Laurent Lafitte, Dorine - Anna Cervinka, Mariane - Clémentine Billy, Valère - Antoine de Foucauld

C’est pas ma version préférée pour rien : la proximité de la table permet de transformer la pièce en huis clos, les vêtements des comédiens, sombres pour la plupart, permettent de relever leurs visages, et la caméra capture d’autant mieux leurs visages qu’elle est proche. Anna Cervinka est une Dorine hilarante qui tranche avec le sérieux des autres ; le Damis de Lafitte est très abrasif ; Cléante par Hervé Pierre use toujours d’un ton extrêmement raisonnable ; les deux petits jeunes sont un couple prometteur. Comme d’habitude, je me suis concentré sur les trois personnages centraux : Elmire, Orgon, Tartuffe. Didier Sandre, trônant en bout de table en patriarche, est un Orgon qui joue sur son âge pour apparaître peut-être plus fragile, qui s’il est moins dépendant que l’Orgon de Podalydès, lui semble extrêmement attaché ; sa colère à l’accusation de Tartuffe est assez violente. Elmire, elle, si elle n’est absolument pas intéressée par Tartuffe (madame moi je veux bien prendre votre place si vous ne voulez pas de lui), aime jouer la carte de la séduction pour parvenir à ses fins, et disons-le, Clotilde de Bayser est charmante. Et Tartuffe…Là encore, pas mon Tartuffe préféré pour rien. Eric Génovèse reprend un Tartuffe qu’il avait déjà joué de cette manière (je donnerai TOUT pour voir la mise en scène de 2005 de Marcel Bozonnet). Il est tout en douceur, la déclaration à Elmire est MAGNIFIQUE et DÉSESPÉRÉE comme il sait les faire, et il est totalement dans le modèle Jouvet d’un Tartuffe qui croit à 90% ce qu’il dit. Chose que je n’avais jamais vu faire avant, le “je tâte votre habit” et ce qui s’ensuit est joué comme une excuse en mousse, comme s’il n’avait vraiment pas fait exprès de poser la main sur le genou d’Elmire, et qu’il tente de rattraper une bourde faite dans l’émotion de l’instant. Tartuffe mis en opposition d’Orgon dans le placement autour de la table le pose en second maître de maison ; sa réponse à son accusation à l’air tellement sincère qu’on y croirait presque. Retournement de comportement à l’acte IV, regard de braise et scène un peu olé-olé (si sage comparée à la mise en scène de Bozonnet où lui et Florence Viala ont failli faire leur affaire sur scène) ; c’est un autre Tartuffe qui retire son masque, celui d’un homme extrêmement froid et calculateur. Bref, pour moi l’interprétation la plus intéressante (sans prendre en compte mon admiration personnelle pour ce comédien). Une pièce que je trouve “redécouverte” par le biais du théâtre à la table qui donne toujours un éclairage autre.

#j'adore cette pièce c'est visible là non #tartuffe #molière

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camzy · 7 months

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hi to u both mund and paul (kahit ik di nyo naman mababasa)

i just realized wala pala kaming pic ni mund together! so solo ka muna for today hahahah so si mund is one of my conscience XD kasi he always message me to say na magaral at magsipag na hahaha skl na super dami nyang certification like mga 11 ata myghad so sipag and also napaka studios nyang tao. imagine ws4 kami pero consistent padin syang nagaaral ng madaling araw. anw, ang first impression ko pala kay mund mabait naman tapos kasi lagi sya may baon na food nung bago kami ni hanna even now naman tapos lagi nya yun shineshare sa buong team kaya ang pagkakakilala ko sa kanya ay generous talaga pero totoo naman nga. minsan nga sinasabihan pa namin sya ni hanna kasi unting sabi lang sa kanya na manlibre naman sya papayag agad kahit kakalibre nya lang sa team hmp ang daling mauto eh hahahaha

si paul naman at first di ko sya nararamdaman sa office kasi tahimik sya, one time nga dinner time na humiwalay pa sya ng table kahit maluwag naman sa table namin tapos sabi ni ate myla mahiyain daw sya so yun di ko lang expected na magiging close pala namin sya. ang masasabi ko lang thankful ako sa mga advices ni paul sakin most esp nung sobrang sad na sad ako sa life ko. ALSO, super bait nya kasi lagi nya kami sinasabay ni hanna kahit sabi ko wag na kasi out of the way nga ako since taga rizal sya ako taga shaw umiikot pa sya para lang mahatid ako and si hanna kaya super duper appreciate ko sya sobra and at the same time naawa ako lalo na kapag may gala kasi para namin syang literal na nagiging driver dahil super bait at gentleman nya hinahatid nya lahat kaya yun ang ending lagi tuloy sya late nakakauwi sa kanila. PLUS hindi pa sya naniningil ng gas kaya nakakainis hahaha kasi di namin alam kung pano kami makakabawi sa kanya but yk im so thankful naman na nakilala ko sya kahit na lagi nya ako inaasar my basher forevs. pero marami naman akong natutunan na life lessons sa kanya and sinasabi nya sakin na dapat alam ko yung worth ko & dapat di ko binababa sarili ko sa iba. which is true sempre wow master yan eh.

anw, thankful for the both of u! sa laging pagalala samin ni hanna <3333 labyu both so muchnessss

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shvroyism · 1 year

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I am only on ep.5 of the fall of the house of usher but this is already #3 on my ranking of mike flanagan’s tv shows. Sadly, the haunting of bly manor and hill house will never be topped (that is not an exaggeration, it is actually mathematically impossible) but the fall of the house of usher is literally PERFECTION

1. The haunting of bly manor

2. The haunting of hill house (they are basically tied for me but bly manor has damie)

3. The fall of the house of usher: just pure EXCELLENCE. A literal gem, Mike Flanagan is a genius and this show is fascinating, and i can’t wait to finish it.

4. The midnight club: I loved it, its such a beautiful show and so underrated. I’d give it a 4/5 stars out of 5 because some of the stories weren’t as engaging as others, but it will always have a special place in my heart

5. Midnight mass: sorry, i never even finished this one because i got bored and didn’t cared about any of the characters. The father paul thing was the only thing that kept me watching the first episodes but i really don’t care about vampires

#nell has opinions

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whooolaanmo · 2 years

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Congrats MJ 👸🏻

not bad for 2nd runner up 🤍🤍🤍🎉💐 Proud ang Fam si Ms. Paz lalo na siguro ang Kuya Paul ( isa sa mga bestfriend din namin ni KC highschool gang ngayon Beshies ✨️ ) support lang din kami sayo lalo na sa social media click the👍🏻 or ❤️ button then share, road to Ms. Universe na ba?? madami dami na rin naman experience at titles na, na achieved mo goodluck lagi, trust sa sarili na kaya mo at magagawa mo 👑.

Congratulations! din kay Ms. ALBAY at Ms. CALBAYOG SAMAR

Jan . 27, 2023 01:43 am

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joyceebels · 2 years

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Sir @paulandm ,

Thank you po sa madaming kalokahan na naituro nyo sakin.. ahahah char..

Sir paul!!! Mababago na daw sched ko starting nextweek.. mamimis kita ka shift.. 😢😢😢

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Pero kasi sir.. mukang updated pa din naman kayo.. kung lagi kayo natambay dito!! Ahahahahah

Pero ang hirap mag update.. ang dami pa pending sa phone ko..

Kaya kung ako sa inyo.. tatanggalin ko na yun!! Ahahahah

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See you when i see you nalang po sir @paulandm .. miss youuu

Ingat po lagiii..

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ejesgistnews · 2 months

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Security Sources: Shi’ite Group Orchestrates Protests with Russian Flags in Northern Nigeria. Kano Tailors Arrested, Investigation Underway. Security sources have disclosed that recent incidents of protesters wielding Russian flags in parts of Northern Nigeria were orchestrated by the Shi’ite Islamic group. Read Also : Elder Wey Mumu – Paul Okoye Fires Back At Joe Igbokwe After The Politician Put Out A Post About The Crisis Between The Singer And His Twin Brother, Peter The flags, prominently displayed during various protests in some northern states, have been condemned by President Bola Tinubu and Nigeria’s security chiefs. The State Security Service (SSS) has already arrested several tailors in Kano involved in the mass production of these Russian flags. The tailors, along with their sponsors, are currently undergoing interrogation as part of an ongoing investigation. Politics Nigeria gathered that security agencies are actively working to address the political and social angles of the protests. Read Also : BBNaija S9: Why Housemates Conspired To Vote Us Out – Tami’s Dami A security source in Abuja revealed, “Those flags being displayed at the protest grounds were coordinated by senior members of the Shi’ite group. We have it on good authority that they distributed the flags to the gullible youths. We are going after them and we will unravel them in due course. Such actions will not be tolerated in this country.” The investigation continues as authorities aim to uncover the full extent of the orchestrated efforts behind these protests and to address the broader implications for national security.

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gospelhotspot · 5 months

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[Music + Video] Sing Of Your Works - Dami Paul Ft. Amara & Holyhill Worship

Nigerian Gospel singer, Dami Paul releases the soul-stirring music video for “Sing Of Your Works,” featuring the captivating vocals of Amara and the powerful harmonies of Holyhill Worship. Inspired by Psalms 105, this seasonal anthem serves as a poignant reminder of the timeless call to celebrate and magnify the works and deliverance of the Divine. Dami Paul, alongside Amara and Holyhill Worship,…

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#Amara #Dami Paul #Download Gospel Music #Gospel Artists #Gospel Hotspot #Gospel MP3 #Gospel Music #Gospel Songs #Holyhill Worship #Latest Naija Gospel Music #Naija Gospel Music #Nigeria Gospel Music #Nigeria Gospel Song

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pasinmusiclimitedcom · 4 months

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[Music + Video] Sing Of Your Works – Dami Paul Ft. Amara & Holyhill Worship

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habananawabu · 7 months

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25 pesos and 15 pesos

Ayan na nga pala yung bank fee sa Pilipinas ngayon. Yeah ang laki. Pero ibang usapan if "payment niyo" sa mga "gala niyo"

Tangina niyo ako na nga nag aayos ng mga gala natin at nagkokolekta ng mga pera niyo ako pa mag aadjust if san pa kayo maghuhulog kung san "libre" yung bank fee niyo ./.

Awit kayo, ang dami dami niyo! May kanya kanya pa kayong bank at pake ko ba kung saan tas ako pa mag aajust at mapapagod kaka transfer para lang wag mahalo sa pera ko???

Ano ba naman yung 25 pesos or 15 pesos na fee if para sa ambag niyo naman yun! Eh tangina, magbabayad ka na nga lang kapalit ng convenience niyo? Kairita!

Binabayran niyo ba oras ko kaka search, kakabook kaka inquire ng mga pupuntahan natin mga kingina niyo? Please lang tama na kakareklamo kung san libre kayo makapagtransfer at magtransfer sa preferred 'kong banko. Please lang.

Hay nako kayo: Abel, Paul, Mikay, Cha, Kurt. Para nga pala sa CMASR Outing at Bukidnon Trip namin ito. HAHAHAHA hay nako cha at kurt love ko pa din naman kayo. Kayong natira, bahala kayo.

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kanye-west552 · 8 months

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MY JOURNEY AS A PUPIL

When I was a kid I always dream to be a seaman

And when I was on the first grade I played soccer with my friends

When I was on the second and third grade I also played soccer but that changed when I was on the fifth grade.

2019 when the covid 19 started I was on Bacolod at that time we need to go back here in tacurong because my grandparents cant go out because of the lockdown.

When I was also on the fourth grade the pandemic era I have an online class its hard to be because I need to wake up every 6oclock and I was a returnee in NDTC I don’t have friends because it’s a online class but all changed when I was on the fifth grade. I met my bestfriends in there Josef,Michael,Carl,Paul and others. I didn’t have any friends when I was on the first day. The surroundings seems kinda new I sat at the back seat with a girl. At the first month I have friends already we bonded together played together. That is the time that my friends influenced me basketball they teached me how to play. And I liked the game. But my friend said he’s changing schools hes going to Canada and the other one is going to pilot elem school. The next year he left Mindanao but my friend told something they kept it a secret but didn’t tell me they said it was a surprise at the 4th quarter exam he showed up they said hes going back cause the flight ws cancelled but after the exam he left. Timeskip to grade 6 when it was the first day of school I saw my friend paul sitting at the middle I called him and said dun tayo sa likod maganda dun and he said yes few hours later carl jay appeared he quickly sat at the next of paul. But saldy appeared he said at the assembly wow dami ng mga new pupils I bully ko kayo bukas he said skip to the first subject carl and I maked jokes all day we all laughed together at the back with paul,atheer,carl and I the end

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jcmarchi · 10 months

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Google at NeurIPS 2023

New Post has been published on https://thedigitalinsider.com/google-at-neurips-2023/

Google at NeurIPS 2023

This week the 37th annual Conference on Neural Information Processing Systems (NeurIPS 2023), the biggest machine learning conference of the year, kicks off in New Orleans, LA. Google is proud to be a Diamond Level sponsor of NeurIPS this year and will have a strong presence with >170 accepted papers, two keynote talks, and additional contributions to the broader research community through organizational support and involvement in >20 workshops and tutorials. Google is also proud to be a Platinum Sponsor for both the Women in Machine Learning and LatinX in AI workshops. We look forward to sharing some of our extensive ML research and expanding our partnership with the broader ML research community.

Attending for NeurIPS 2023 in person? Come visit the Google Research booth to learn more about the exciting work we’re doing to solve some of the field’s most interesting challenges. Visit the @GoogleAI X (Twitter) account to find out about Google booth activities (e.g., demos and Q&A sessions).

You can learn more about our latest cutting edge work being presented at the conference in the list below (Google affiliations highlighted in bold). And see Google DeepMind’s blog to learn more about their participation at NeurIPS 2023.

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization Adel Javanmard, Vahab Mirrokni

Better Private Linear Regression Through Better Private Feature Selection Travis Dick, Jennifer Gillenwater*, Matthew Joseph

Binarized Neural Machine Translation Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani*, Zhiru Zhang, Orhan Firat

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

Boosting with Tempered Exponential Measures Richard Nock, Ehsan Amid, Manfred Warmuth

Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch

Deep Contract Design via Discontinuous Networks Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasia Koloskova*, Ryan McKenna, Zachary Charles, J Keith Rush, Hugh Brendan McMahan

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products Tamas Sarlos, Xingyou Song, David P. Woodruff, Qiuyi (Richard) Zhang

Module-wise Adaptive Distillation for Multimodality Foundation Models

Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

Multi-Swap k-Means++ Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis

OpenMask3D: Open-Vocabulary 3D Instance Segmentation Ayça Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning Dami Choi*, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani

PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Hall, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer

Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu*, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das, Sonia Chernova, Been Kim

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization Emanuele Bugliarello*, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender

Subject-driven Text-to-Image Generation via Apprenticeship Learning Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao*, Bahare Fatemi, Mike Burrows, Charith Mendis*, Bryan Perozzi

Training Chain-of-Thought via Latent-Variable Inference Du Phan, Matthew D. Hoffman, David Dohan*, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints Jayadev Acharya, Clement L. Canonne, Ziteng Sun, Himanshu Tyagi

What You See is What You Read? Improving Text-Image Alignment Evaluation Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar

Accelerating Molecular Graph Neural Networks via Knowledge Distillation Filip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu*, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing “Spurious” Correlations Qingyao Sun, Kevin Patrick Murphy, Sayna Ebrahimi, Alexander D’Amour

Collaborative Score Distillation for Consistent Visual Editing Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam

Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy Amit Daniely, Nathan Srebro, Gal Vardi

A Computationally Efficient Sparsified Online Newton Method Fnu Devvrit*, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S Dhillon

DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji

Double Auctions with Two-sided Bandit Feedback Soumya Basu, Abishek Sankararaman

Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training Rie Johnson, Tong Zhang*

Large Graph Property Prediction via Graph Segment Training Kaidi Cao*, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis*, Jure Leskovec, Bryan Perozzi

On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon

On Student-teacher Deviations in Distillation: Does it Pay to Disobey? Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

Optimal Cross-learning for Contextual Bandits with Unknown Context Distributions Jon Schneider, Julian Zimmert

Near-Optimal k-Clustering in the Sliding Window Model David Woodruff, Peilin Zhong, Samson Zhou

Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna, Jiaqi Ma, Dylan Z Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju

Recommender Systems with Generative Retrieval Shashank Rajput*, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh*, Kangwook Lee, Kimin Lee*

Replicable Clustering Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou

Replicability in Reinforcement Learning Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou

Riemannian Projection-free Online Learning Zihao Hu, Guanghui Wang, Jacob Abernethy

Sharpness-Aware Minimization Leads to Low-Rank Features Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion

What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, Stefanie Jegelka

Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain

Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du*, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

Conformal Prediction for Time Series with Modern Hopfield Networks Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter

Does Visual Pretraining Help End-to-End Reasoning? Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid

Effective Robustness Against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi*, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel*, Yao Qin

Improving Neural Network Representations Using Human Similarity Judgments Lukas Muttenthaler*, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala

Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain, Krzysztof Choromanski, Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan

Nash Regret Guarantees for Linear Bandits Ayush Sawarni, Soumyabrata Pal, Siddharth Barman

A Near-Linear Time Algorithm for the Chamfer Distance Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten.

On Differentially Private Sampling from Gaussian and Product Distributions Badih Ghazi, Xiao Hu*, Ravi Kumar, Pasin Manurangsi

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh*, Marek Petrik

ResMem: Learn What You Can and Memorize the Rest Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar

Responsible AI (RAI) Games and Ensembles Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar

RoboCLIP: One Demonstration Is Enough to Learn Robot Policies Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti

Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

Simplicity Bias in 1-Hidden Layer Neural Networks Depen Morwani*, Jatin Batra, Prateek Jain, Praneeth Netrapalli

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding Paul-Edouard Sarlin*, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen

SOAR: Improved Indexing for Approximate Nearest Neighbor Search Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar

StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee*, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang*, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen*, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou

Two-Stage Learning to Defer with Multiple Experts Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong

AdANNS: A Framework for Adaptive Semantic Search Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer Bowen Tan*, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen

Causal-structure Driven Augmentations for Text OOD Generalization Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei

Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

Diffusion Self-Guidance for Controllable Image Generation Dave Epstein, Allan Jabri, Ben Poole, Alexei A Efros, Aleksander Holynski

Fully Dynamic k-Clustering in Õ(k) Update Time Sayan Bhattacharya, Martin Nicolas Costa, Silvio Lattanzi, Nikos Parotsidis

Improving CLIP Training with Language Rewrites Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

<!–k-Means Clustering with Distance-Based Privacy Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong

–>

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management Dhawal Gupta*, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh*, Craig Boutilier

Optimal Unbiased Randomizers for Regression with Label Differential Privacy Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Jacob Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang

Paraphrasing Evades Detectors of AI-generated Text, but Retrieval Is an Effective Defense Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Shuyang Sun*, Weijun Wang, Qihang Yu*, Andrew Howard, Philip Torr, Liang-Chieh Chen*

Robust and Actively Secure Serverless Collaborative Learning Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu

Structured Prediction with Stronger Consistency Guarantees Anqi Mao, Mehryar Mohri, Yutao Zhong

Affinity-Aware Graph Networks Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections Chun-Han Yao*, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani

Black-Box Differential Privacy for Interactive ML Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer

Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits Haolin Liu, Chen-Yu Wei, Julian Zimmert

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

Xiuye Gu, Yin Cui*, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen*, David Ross

Easy Learning from Label Proportions Robert Busa-Fekete, Heejin Choi*, Travis Dick, Claudio Gentile, Andres Munoz Medina

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De

Faster Differentially Private Convex Optimization via Second-Order Methods Arun Ganesh, Mahdi Haghifam*, Thomas Steinke, Abhradeep Guha Thakurta

Finding Safe Zones of Markov Decision Processes Policies Lee Cohen, Yishay Mansour, Michal Moshkovitz

Focused Transformer: Contrastive Training for Context Scaling Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu*, Henryk Michalewski, Piotr Miłoś

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu

H-Consistency Bounds: Characterization and Extensions Anqi Mao, Mehryar Mohri, Yutao Zhong

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener, Ofir Nachum, Joan Bruna

Most Neural Networks Are Almost Learnable Amit Daniely, Nathan Srebro, Gal Vardi

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li

Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation Wei-Ning Chen, Dan Song, Ayfer Ozgur, Peter Kairouz

Private Federated Frequency Estimation: Adapting to the Hardness of the Instance Jingfeng Wu*, Wennan Zhu, Peter Kairouz, Vladimir Braverman

RETVec: Resilient and Efficient Text Vectorizer Elie Bursztein, Marina Zhang, Owen Skipper Vallis, Xinyu Jia, Alexey Kurakin

Symbolic Discovery of Optimization Algorithms Xiangning Chen*, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa F. Polania, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

A Trichotomy for Transductive Online Learning Steve Hanneke, Shay Moran, Jonathan Shafer

A Unified Fast Gradient Clipping Framework for DP-SGD William Kong, Andres Munoz Medina

Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh

(Amplified) Banded Matrix Factorization: A unified approach to private training Christopher A Choquette-Choo, Arun Ganesh, Ryan McKenna, H Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta, Zheng Xu

Adversarial Resilience in Sequential Prediction via Abstention Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam

Android in the Wild: A Large-Scale Dataset for Android Device Control Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap

Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran

Consensus and Subjectivity of Skin Tone Annotation for ML Fairness Candice Schumann, Gbolahan O Olanubi, Auriel Wright, Ellis Monk Jr*, Courtney Heldreth, Susanna Ricco

Counting Distinct Elements Under Person-Level Differential Privacy Alexander Knop, Thomas Steinke

DICES Dataset: Diversity in Conversational AI Evaluation for Safety Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang

Does Progress on ImageNet Transfer to Real-world Datasets? Alex Fang, Simon Kornblith, Ludwig Schmidt

Estimating Generic 3D Room Structures from 2D Annotations Denys Rozumnyi*, Stefan Popov, Kevis-kokitsi Maninis, Matthias Nießner, Vittorio Ferrari

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat

Mechanic: A Learning Rate Tuner Ashok Cutkosky, Aaron Defazio, Harsh Mehta

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu*, Yuanzhen Li, Howard Zhou

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Nunez, James Lottes, Qing Wang, Yi-Fan Chen, John Roberts Anderson, Fei Sha

Restart Sampling for Improving Generative Processes Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko

RoboHive: A Unified Framework for Robot Learning Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick

Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi, Yangsibo Huang*, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett

Universality and Limitations of Prompt Tuning Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh

Unsupervised Semantic Correspondence Using Stable Diffusion Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus Dave Uthus, Garrett Tanzer, Manfred Georg

The Noise Level in Linear Regression with Dependent Data Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni

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