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tgyverse · 6 months ago

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― 𝐑𝐄𝐂𝐔𝐄𝐍𝐓𝐎 𝐃𝐄 𝐀𝐂𝐓𝐈𝐕𝐈𝐃𝐀𝐃.

publicado el día 20 de junio de 2024.

𝐫𝐞𝐬𝐞𝐫𝐯𝐚𝐬.

Ninguna.

𝐚𝐮𝐝𝐢𝐜𝐢𝐨𝐧𝐞𝐬 𝐞𝐧 𝐞𝐥 𝐛𝐮𝐳𝐨́𝐧.

Ninguna pendiente.

𝐜𝐮𝐞𝐧𝐭𝐚𝐬 𝐞𝐧 𝐞𝐬𝐩𝐞𝐫𝐚.

Ninguna pendiente.

𝐚𝐮𝐬𝐞𝐧𝐜𝐢𝐚𝐬.

Ninguna.

𝐫𝐞𝐜𝐢𝐞́𝐧 𝐥𝐥𝐞𝐠𝐚𝐝𝐞𝐬.

Ningune.

𝐚𝐯𝐢𝐬𝐨 𝐝𝐞 𝐢𝐧𝐚𝐜𝐭𝐢𝐯𝐢𝐝𝐚𝐝.

Ninguno.

𝐝𝐞𝐬𝐩𝐞𝐝𝐢𝐝𝐚𝐬.

Brigitte Delacour y Thorfinn Rowle ― inactividad.

Robbie Flint y Grace Davies ― decisión de le usuarie.

𝐫𝐨𝐬𝐭𝐫𝐨𝐬 𝐥𝐢𝐛𝐞𝐫𝐚𝐝𝐞𝐬.

Bill Skarsgard.

Josephine Langford.

Romee Strijd.

Tom Glynn-Carney.

𝐏𝐎𝐁𝐋𝐀𝐂𝐈𝐎𝐍 𝐀𝐂𝐓𝐔𝐀𝐋

orden del fénix.

Alice Longbottom con Florence Pugh.

Dedalus Diggle con Pedro Pascal.

Dorcas Meadowes con Laura Harrier.

Emmeline Vance con Simone Ashley.

Fabian Prewett con Asa Germann.

Frank Longbottom con Dev Patel.

Gideon Prewett con Björn Mosten.

James Potter con Jonah Hauer King.

Lily Potter con Abigail Cowen.

Remus Lupin con Andrew Garfield.

Sirius Black con Enzo Vogrincic.

Sturgis Podmore con Evan Roderick.

mortifagos.

Aether Li con Shen Quanrui.

Alecto Carrow con Alice Pagani.

Amycus Carrow con Freddy Carter.

Augustus Rookwood con Thomas Doherty.

Baptiste Travers con Christopher Briney.

Barty Crouch Jr. con Zhong Chenle.

Bellatrix Lestrange con Alexandra Park.

Choi Jihae con Kim Sowon.

Corban Yaxley con Federico Russo.

Lucius Malfoy con Danny Griffin.

Rabastan Lestrange con Michael Evans Behling.

Severus Snape con Mark McKenna.

Yvette Lévesque con Suki Waterhouse.

civiles.

Adora Greengrass con Jessica Alexander.

Agatha Figg con Lily Rose Depp.

Alfie Smith con Louis Tomlinson.

Alyssa Abbott con Kim Jiwoo.

Amelia Bones con Maia Reficco.

Amos Diggory con Leo Woodall.

Andrea Prewett con Luca Hollestelle.

Andromeda Tonks con Daisy Edgar Jones.

Arthur Weasley con George Mackay.

Aurora Rowle con Lily Collins.

Bertha Jorkins con Halle Bailey.

Bertie Higgs con Jordan Fisher.

Bertram Aubrey con Timothée Chalamet.

Betty Braithwaite con Maitreyi Ramakrishnan.

Charity Burbage con Brie Larson.

Daisy Hookum con Eleanor Tomlinson.

Danny Wood con Jung Jaehyun.

Darcy Brown con Aimee Lou Wood.

Davey Gudgeon con Song Kang.

Dawn Withey con Kathryn Newton.

Doris Purkiss con Macarena García.

Edric Brown con Luke Newton.

Eleanor Parkinson con Camila Morrone.

Ellie Dowson con Hayley Lu Richardson.

Emma Vanity con Camila Mendes.

Finnick Snow con Cha Eunwoo.

Gladys Gudgeon con Han Jihyun.

Glenda Chittock con Elle Fanning.

Greta Catchlove con Olivia Scott Welch.

Gwenog Jones con Ayo Edebiri.

Hestia Jones con Nana Komatsu.

Isolde Higgs con Gigi Hadid.

Ivan Davies con Thomas Brodie-Sangster.

Jacob Davies con Drew Starkey.

Jane Diggory con Havana Rose Liu.

Jason Denbright con Jackson Wang.

Jonathan Nott con Tyler Young.

Keira King con Paris Berelc.

Kenta Akiyama con Nakamoto Yuta.

Lenore Bagman con Hannah Dodd.

Lorcan d'Eath con Kim Jiwoong.

Lorenzo Bullstrode con Simone Baldasseroni.

Lucinda Talkalot con Savannah Lee Smith.

Lucy Karoonda-Wood con Virginia Gardner.

Ludo Bagman con Taylor Zakhar Perez.

Maria Jefferson con Fiona Palomo.

Mary MacDonald con Bae Suzy.

Melissa Greengrass con Eva de Dominici.

Michael Bones con Xolo Maridueña.

Mina Lima con Meltem Akçöl.

Minerva MacMillan con Samantha Logan.

Miriam Strout con Mookda Narinrak.

Molly Weasley con Karen Gillan.

Narcissa Malfoy con Lucy Boynton.

Nicholas MacMillan con Jeremy Allen White.

Ollie Scamander con Lee Felix.

Olivia Avery con Madelyn Cline.

Pandora Lovegood con Anya Taylor Joy.

Penelope Goldstein con Melis Sezen.

Phoebe Elliot con Madison Bailey.

Rita Skeeter con Renée Rapp.

Rosalind Bungs con Ana de Armas.

Scarlett Travers con Sabrina Carpenter.

Sorcha MacFusty con Anne Hathaway.

Stubby Boardman con Hwang Hyunjin.

Ted Tonks con Paul Mescal.

Wendy Slinkhard con Jenna Ortega.

Xenophilius Lovegood con Lucas Lynggaard Tønnesen.

Zabrina Davies con Elizabeth Lail.

Zachary Parkinson con Sean Teale.

Zephyr Crouch con Cierra Ramirez.

Zoe Nettles con Sophie Turner.

TOTAL: 97 personajes ocupades.

¡Buen fin de semana a todes! Nos gustaría tomar un momento para agradecer la actividad que hemos visto en el dash. Fueron días movidos para nosotras y no hemos conseguido aparecernos tanto cómo quisiéramos. Nos anima mucho ver que han estado por aquí. ¡Gracias, gracias! De momento continuaremos con los eventos publicados y estaremos extendiendo una encuesta para un asunto que nos ronda la mente. Así mismo vamos a estarles comentando pronto sobre conexiones y una actividad que tenemos planeada. Como último punto, he decidido (Moony) que, a partir de este momento, todo aquel que deje abandonado sus personajes y reciba unfollow (y no sea la primera vez) tendrá prohibido el reintegro al verse. Si desean abandonar el verse, está perfecto, pero por favor avísenos. Es lo único que se les pide y lo más amable que podrían hacer. Gracias. Esperamos que se encuentren muy bien, ¡gracias por mantener el dash activo! ¡Saludos! ૮ ˶ᵔ ᵕ ᵔ˶ ა

— 𝐀𝐃𝐌𝐈𝐍𝐈𝐒𝐓𝐑𝐀𝐂𝐈𝐎𝐍.

#* actividad.

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jcmarchi · 9 months ago

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Twenty-three MIT faculty honored as "Committed to Caring" for 2023-25

New Post has been published on https://thedigitalinsider.com/twenty-three-mit-faculty-honored-as-committed-to-caring-for-2023-25/

Twenty-three MIT faculty honored as "Committed to Caring" for 2023-25

In the halls of MIT, a distinctive thread of compassion weaves through the fabric of education. As students adjust to a postpandemic normal, many professors have played a pivotal role by helping them navigate the realities of hybrid learning and a rapidly changing postgraduation landscape.

The Committed to Caring (C2C) program at MIT is a student-driven initiative that celebrates faculty members who have served as exceptional mentors to graduate students. Twenty-three MIT professors have been selected as recipients of the C2C award for 2023-25, marking the most extensive cohort of honorees to date. These individuals join the ranks of 75 previous C2C honorees.

The actions of these MIT faculty members over the past two years underscore their profound commitment to the well-being, growth, and success of their students. These educators go above and beyond their roles, demonstrating an unwavering dedication to mentorship, inclusion, and a holistic approach to student development. They aim to create a nurturing environment where students not only thrive academically, but also flourish personally.

The following faculty members are the 2023-25 Committed to Caring honorees:

Hamsa Balakrishnan, Department of Aeronautics and Astronautics

Cynthia Breazeal, Media Lab

Roberto Fernandez, MIT Sloan School of Management

Nuh Gedik, Department of Physics

Mariya Grinberg, Department of Political Science

Ming Guo, Department of Mechanical Engineering

Myriam Heiman, Department of Brain and Cognitive Sciences

Rohit Karnik, Department of Mechanical Engineering

Erik Lin-Greenberg, Department of Political Science

Michael McDonald, Department of Physics

Emery Neal Brown, Harvard-MIT Program in Health Sciences and Technology

Wanda Orlikowski, MIT Sloan School of Management

Kenneth Oye, Department of Political Science

Kristala Prather, Department of Chemical Engineering

Zachary Seth Hartwig, Department of Nuclear Science and Engineering

Tracy Slatyer, Department of Physics

Iain Stewart, Department of Physics

Andrew Vanderburg, Department of Physics

Rodrigo Verdi, MIT Sloan School of Management

Xiao Wang, Department of Chemistry

Ariel White, Department of Political Science

Nathan Wilmers, MIT Sloan School of Management

Maria Yang, Department of Mechanical Engineering

Since the founding of the C2C program in 2014 by the Office of Graduate Education, the nomination process for honorees has centered on student involvement. Graduate students from all departments are invited to submit nomination letters detailing professors’ outstanding mentorship practices. A committee of graduate students and staff members then selects individuals who have shown genuine contributions to MIT’s vibrant academic community through student mentorship.

The selection committee this year included: Maria Carreira (Biology), Rima Das (Mechanical Engineering), Ahmet Gulek (Economics), Bishal Thapa (Biological Engineering), Katie Rotman (Architecture), Dóra Takács (Linguistics), Dan Korsun (Nuclear Science and Engineering), Leslie Langston (Student Mental Health and Counseling), Patricia Nesti (MIT-Woods Hole Oceanographic Institution), Beth Marois (Office of Graduate Education [OGE]), Sara Lazo (OGE), and Chair Suraiya Baluch (OGE).

This year’s nomination letters highlighted unique stories of how students felt supported by professors. Students noted their mentors’ commitment to frequent meetings despite their own busy personal lives, as well as their dedication to ensuring equal access to opportunities for underrepresented and underserved students.

Some wrote about their advisors’ careful consideration of students’ needs alongside their own when faced with professional advancement opportunities; others appreciated their active support for students in the LGBTQ+ community. Lastly, students reflected on their advisors’ encouragement for open and constructive discourse around the graduate unionization vote, showing a genuine desire to hear about graduate issues.

Baluch shared, “Working with the amazing selection committee was the highlight of my work year. I was so impressed by the thoughtful consideration each nomination received. Selecting the next round of C2C nominees is always a heartwarming experience.”

“As someone who aspires to be a faculty member someday,” noted Das, “being on the selection committee … was a phenomenal opportunity in understanding the breadth and depth of possibility in how to be a caring mentor in academia.”

She continued, “It was so heartening to hear the different ways that these faculty members are going above and beyond their explicit research and teaching duties and the amazing impact that has made on so many students’ well-being and ability to be successful in graduate school.”

The Committed to Caring program continues to reinforce MIT’s culture of mentorship, inclusion, and collaboration by recognizing the contributions of outstanding professors. In the coming months, news articles will feature pairs of honorees, and a reception will be held in May.

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sunaleisocial · 9 months ago

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NASA Names Finalists of the Power to Explore Challenge - NASA

New Post has been published on https://sunalei.org/news/nasa-names-finalists-of-the-power-to-explore-challenge-nasa/

NASA Names Finalists of the Power to Explore Challenge - NASA

NASA has selected the nine finalists of the Power to Explore Challenge, a national competition for K-12 students featuring the enabling power of radioisotopes.

NASA selected nine finalists out of the 45 semifinalist student essays in the Power to Explore Challenge, a national competition for K-12 students featuring the enabling power of radioisotopes. Contestants were challenged to explore how NASA has powered some of its most famous science missions and to dream up how their personal “super power” would energize their success on their own radioisotope-powered science mission.

The competition asked students to learn about NASA’s Radioisotope Power Systems (RPS), a type of “nuclear battery” that the agency uses to explore some of the most extreme destinations in our solar system and beyond. As cities across the United States experience a total solar eclipse, we experience first hand a momentary glimpse into what life would be like without sunlight. This draws attention to how NASA can power missions at destinations that cannot rely on the energy of the Sun, such as deep craters on the Moon and deep space exploration. In 250 words or less, students wrote about a mission of their own enabled by these space power systems and described their own power to achieve their mission goals.

The Power to Explore Challenge offered students the opportunity to learn more about these reliable power systems, celebrate their own strengths, and interact with NASA’s diverse workforce. This year’s contest received 1,787 submitted entries from 48 states and Puerto Rico.

Carl Sandifer

Manager, Radioisotope Power Systems Program

“The RPS Program is so impressed by the ideas and quality of writing that come forth from essays submitted to NASA’s Power to Explore Challenge,” said Carl Sandifer, NASA’s manager for the Radioisotope Power Systems Program in Cleveland. “We would like to congratulate the finalists, and we look forward to welcoming the winners to NASA’s Glenn Research Center this summer.”

Entries were split into three categories: grades K-4, 5-8, and 9-12. Every student who submitted an entry received a digital certificate and an invitation to the Power Up virtual event that announced the semifinalists. Students learned about what powers the NASA workforce to dream big and work together to explore.

Three national finalists in each grade category (nine finalists total) have been selected. In addition to receiving a NASA RPS prize pack, these participants will be invited to an exclusive virtual meeting with a NASA engineer or scientist to talk about their missions and have their space exploration questions answered. Winners will be announced on April 17.

Katerine Leon, Long Beach, CA

Rainie Lin, Lexington, KY

Zachary Tolchin, Guilford, CT

Aadya Karthik, Redmond, WA

Andrew Tavares, Bridgewater, MA

Sara Wang, Henderson, NV

Thomas Liu, Ridgewood, NJ

Madeline Male, Fairway, KS

Kailey Thomas, Las Vegas, NV

About the Challenge

The challenge is funded by the Radioisotope Power Systems Program Office in NASA’s Science Mission Directorate and administered by Future Engineers under the NASA Open Innovation Services 2 contract. This contract is managed by the NASA Tournament Lab, a part of the Prizes, Challenges, and Crowdsourcing Program in NASA’s Space Technology Mission Directorate.

Kristin Jansen NASA’s Glenn Research Center

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rjhamster · 1 year ago

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How Sugar Fuels Cancer in the Body

How Sugar Fuels Cancer in the Body By Flora Zhao Share* Read More MOST SHARED Study Reveals Most Common Chronic Symptoms After COVID-19 Vaccination By Zachary Stieber Share* Read More TOP SHARED The Essential Guide to Fibromyalgia: Symptoms, Causes, Treatments, and Natural Approaches By Mercura Wang Share* Read More TOP READ Actress Sues AstraZeneca…

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sportsgr8 · 1 year ago

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Uno Refreshes Season Best In Figure Skating Short Program At Cup Of China

Figure Skating Series Cup: Reigning world champion Shoma Uno set a new season best score for the men's short program as the ISU Grand Prix of Figure Skating Series Cup of China got underway here.Skating to "Love You Kung Fu" and "Clair de Lune", the Japanese talent, who turns 26 years old next month, hit his trademark quad flip, a quad toe-triple toe combination, and a triple Axel, which was credited for "highlight distribution", to score 105.25 points. He also earned a level four for his spins and a level three for the footwork, reports Xinhua. The previous men's short program best score of the 2023-2024 season was held by US teenage sensation Ilia Malinin, who scored 104.06 points on October 20 at the season-opening Skate America. "I did a good job with the jumps today and the whole package," Uno commented at a post-competition press conference. "At this competition, I don't think about the result or the points, I just want to show my program," he added. European champion Adam Siao Him Fa came second to Uno's strong lead, trailing by 14 points. Kazakhstan's Mikhail Shaidorov stood third further 1.27 points back. Local favorite Jin Boyang, a two-time world bronze medalist, placed fourth with a personal season best of 87.44, beating Italian Gabriele Frangipani and Japanese Kazuki Tomono to the fifth and sixth respectively. Skate Canada champion Sota Yamamoto of Japan only ranked in eighth with errors on his jumps. The ISU senior's GP newcomers, Xu Juwen and Dai Dawei of China, sat on 10th and 11th with scores of 65.57 and 64.25 respectively. World bronze medalist Loena Hendrickx of Belgium led the women's short program with 70.65 points, despite an unsuccessful Axel. Japan's Rinka Watanabe and Hana Yoshida followed in second and third. Niina Petrokina of Estonia was close to the podium in fourth place at 62.58 points, while China's Chen Hongyi and An Xiangyi, another Chinese debutant to the senior figure skating, came fifth and sixth on 62.57 and 61.86 points. Skate Canada champions Deanna Stellato-Dudek and Maxime Deschamps of Canada and European silver medalists Rebecca Ghilardi and Filippo Ambrosini of Italy finished 1-2 in the pairs short program on 70.39 and 66.33, and China's three-time Olympian Peng Cheng and her new partner Wang Lei rounded out the podium with a score of 62.91. Skate America champions Annika Hocke/Robert Kunkel of Germany came fourth, while the other two Chinese pairs, Zhang Siyang/Yang Yongchao and Wang Yuchen Zhu Lei finished fifth and seventh on 58.71 and 49.95 respectively. In the ice dance event, Skate America silver medalists Majorie Lajoie and Zachary Lagha from Canada led the rankings temporarily after rhythm dance, claiming 82.02 points to edge two-time world bronze medalists and compatriots Piper Gilles and Paul Poirier to second place by just 0.98 points. American pair Caroline Green/Michael Parsons, the 2022 Four Continents champions, came out a distant third with 76.07 points. China's youngsters, Chen Xizi/Xing Jailing and Shi Shang/Wu Nan, finished the rhythm dance as the bottom two among nine pairs, after the Olympian pair Wang Shiyue and Liu Xinyu withdrew from the event due to Liu's injury. The Cup of China, the fourth of six events of the ISU Grand Prix Series in which the world's best figure skaters collect points towards the 2023-2024 GP Final in Beijing on December 7-10, continues here on Saturday with the free dance and free programs of men's, women's and pairs figure skates. Read the full article

#AdamSiaoHimFa #FigureSkatingSeriesCup #IliaMalinin #ISUGrandPrix #ItalianGabrieleFrangipani #JapaneseKazukiTomono #JinBoyang #LoveYouKungFu #MikhailShaidorov #ShomaUno #SkateAmerica #SkateCanada #SotaYamamoto #TheISU #XuJuwen

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sunskate · 2 years ago

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IAM Programs 2023-24

Holly Harris/Jason Chan 🇦🇺AUS RD: Madonna, Material Girl, Into the Groove, Express Yourself FD: Colossal Trailer Music, Ocean Lullaby; Christian Reindl, Lucie Paradis, Gefion, Freya; Christian Reindl, Lucie Paradis, Power-Haus, Vale choreo: Marie-France Dubreuil

Alicia Fabbri/Paul Ayer 🇨🇦CAN RD: AC/DC, Back in Black, Hells Bells, You Shook Me All Night Long FD: keeping FD from last season- Lewis Capaldi: Someone You Loved choreo: Zachary Donohue RD, Marie-France Dubrueil FD

Laurence Fournier-Beaudry/Nikolaj Soerensen 🇨🇦CAN RD: Top Gun - Harold Faltemeyer, Top Gun Anthem; Kenny Loggins, Playing with the Boys; Berlin, Take My Breath Away; Miami Sound Machine, Hot Summer Nights; Kenny Loggins, Danger Zone FD: Notre Dame de Paris - Mario Pelchat, Danse Mon Esmerelda- Acoustic; Monks of the Abbey of Notre Dame, Final Angelus Bells; Noa, Ave Maria Paien; Cirque du Soleil, Les Sans-Papiers; Garou, Danse Mon Esmerelda choreo: Marie-France Dubreuil, Romain Haguenauer, Ginette Cournoyer, Samuel Chouinard

Sandrine Gauthier/Quentin Thieren 🇨🇦CAN RD: Joan Jett, I Love Rock n Roll; Def Leppard, Pour Some Sugar on Me; Twisted Sister, I Wanna Rock FD: Game of Thrones choreo:

Marjorie Lajoie/Zachary Lagha 🇨🇦CAN RD: Michael Jackson, Thriller FD: Jean-Michel Blais, Roses choreo: Romain Haguenauer, Ginette Cournoyer

Marie-Jade Lauriault/Romain LeGac 🇨🇦CAN RD: INXS, Need You Tonight, Never Tear Us Apart, Devil Inside FD: Danny Elfman, Corpse Bride choreo: Marie-France Dubreuil, Romain Haguenauer, Sam Chouinard, Ginette Cournoyer

Emmy Bronsard/Jacob Richmond 🇨🇦CAN RD: Les Rita Mitsouko, Andy, Marcia Baïla FD: Muse, Exogenesis Symphony part 3 choreo: Marie-France Dubreuil

Shiyue Wang/Xinyu Liu 🇨🇳CHN RD: Falco, Rock Me Amadeus FD: LP, Forever for Now, The One That You Love choreo: Marie-France Dubreuil

Solene Mazingue/Marjo Jevgeni Gaidajenko 🇪🇪EST RD: Run-DMC, Walk This Way; Salt ‘n Peoa, Push It FD: Tems, No Woman No Cry; Rihanna, Lift Me Up

Evgeniia Lopareva/Geoffrey Brissaud 🇫🇷FRA RD: Myléne Farmer, Sans Contrefaçon, Tristana FD: Rachmaninoff, Elegie in eb minor, Prelude in c# minor choreo: Romain Haguenauer RD, Guillaume Cizeron FD

Lilah Fear/Lewis Gibson 🇬🇧GBR RD: Eurhythmics, Sweet Dreams, Here Comes the Rain Again FD: Rocky choreo: Romain Haguenauer, Samuel Chouinard, Ginette Cournoyer

Misato Komatsubara/Tim Koleto 🇯🇵JPN RD: Ghostbusters FD: Loving You (from Passion) Barbara Streisand & Patrick Wilson; Love Grows (from Final Fantasy VIII) Nobuo Uematsu (choreo: Romain Haguenauer) choreo: Romain Haguenauer, Marie-France Dubreuil, Ginette Cournoyer, Sam Chouinard, Eva Airapetian

Azusa Tanaka/Shingo Nishiyama 🇯🇵JPN RD: Super Mario Bros. FD: Giselle choreo: Romain Haguenauer

Hannah Lim/Ye Quan 🇰🇷KOR RD: Prince, When Doves Cry, Let's Go Crazy FD: Umbrellas of Cherbourg choreo: Romain Haguenauer RD, Marie-France Dubreuil FD

Allison Reed/Saulius Ambrulevicius 🇱🇹LTU RD: Guns n' Roses, Welcome to the Jungle, Paradise City FD: Son Lux, Enough of Our Machines; Tokio Myers, Children choreo: Marie-France Dubreuil, Sam Chouinard

Olivia Smart/Tim Dieck 🇪🇸ESP RD: Blondie, Call Me, Rapture FD: Strauss, Also Sprach Zarathustra; Elvis Presley, Fever choreo: Marie-France Dubreuil, Romain Haguenauer

Kayleigh Macsymek/Felix Desmarais 🇨🇭SUI RD: Beverly Hills Cop - Harold Faltermeyer, Axel F; Corey Hart, Hold On; Glenn Frey, The Heat is On

Mariia Holubtsova & Kyryl Bielobrov 🇺🇦UKR RD: Bonnie Tyler, Holding out for a Hero; Bonnie Tyler, Bryan Adams, Straight From the Heart; Bonnie Tyler, Desmond Child, If I Were a Woman (and You Were a Man) FD: Joe Hisaishi, Merry Go Round of Life, Fragile Dream, A Walk in the Skies (Howl's Moving Castle) choreo: Romain Haguenauer, Pascal Denis, Sam Chouinard

Oona Brown/Gage Brown 🇺🇸USA RD: Elton John, This Town, Satellite, I'm Still Standing FD: Eric Carmen, All By Myself choreo: Patrice Lauzon, Romain Haguenauer, Joel Dear

Madison Chock/Evan Bates 🇺🇸USA RD: Queen, Another One Bites the Dust, Who Wants to Live Forever, I Want it All FD: Pink Floyd, Time, Breathe, Eclipse choreo: Marie-France Dubreuil

Kaitlin Hawayek/Jean-Luc Baker 🇺🇸USA RD: U2, With or Without You FD: Fred Again, Kyle (Northern Line); Charles LeClerc, AUS23 (1:1) choreo: Marie-France Dubreuil, Kaitlin Hawayek, Jean-Luc Baker

Sara Kishimoto/Atsuhiko Tamura 🇯🇵JPN jrs RD: Styx, Mr.Roboto FD: keeping FD from last season - Pulp Fiction choreo: Romain Haguenauer, Sam Chouinard, Ginette Cournoyer, Eva Airapetian

Jamie Fournier/Everest Zhu 🇨🇦CAN jrs RD: Soft Cell, Frustration, Seedy Films, Tainted Love FD: Damien Rice, The Blower's Daughter; Melanie Laurent feat. Damien Rice, Uncomfortable choreo: Romain Haguenauer

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corbindavenport · 3 years ago

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Tech Tales: Year One

The first episode of my technology history podcast, Tech Tales, was published exactly one year ago today: June 14, 2021. I had wanted to produce something related to tech history for years, but it was only last year that I was able to narrow down a format I was happy with (largely inspired by You’re Wrong About) and recruit enough friends to join me for stumbling through hour-long recordings.

I would say the show’s first year has been a success. As of June 12, it has a total of 29 episodes, 4,291 plays/downloads on audio platforms, and 2,012 views on YouTube. The first year of episodes has covered topics like the NASA’s Voyager space probes, the 20 year-long development of Mac OS X (now macOS), Samsung’s exploding Galaxy Note 7 smartphone, and the failed Intel Itanium CPU architecture. Video games are an important part of technology history, so Tech Tales has also covered topics like the ‘Hot Coffee’ mod for Grand Theft Auto: San Andreas and the disastrous port of DOOM to the 3DO console.

I’ve also been fortunate to have friends that are not only willing to sit through long recordings as guests, but are also usually more entertaining than me. The first year included guests Cody Toombs (from Android Police), Joe Fedewa (from How-To Geek), Katie Janzen, Jacob Westall, Zachary Wander, Evan Hirsh, and Jules Wang (also from Android Police). I would also like to thank Mason Conrad for making the sweet logo.

I’ve also learned a few things from producing my own podcast. Growing a show without the backing of a major network is surprisingly difficult, and my few attempts at paying for advertisements on platforms like Twitter had disappointing results. It would be disingenuous to say listener numbers don’t matter to me, but I’m having just as much fun researching topics and recording episodes now as I was a year ago. Tech Tales was partially created out of a desire to publish something that I completely control, as opposed to my professional work, and that is still true to this day.

I’m not sure what the second year of Tech Tales will look like yet, but I’m excited to keep working on new episodes. If you want to come along for the journey, and maybe learn a thing or two about technology that has shaped our world, I invite you to subscribe with your app or platform of choice.

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chloebennetsource · 5 years ago

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December 23rd, 2019 - Chloe Bennet Insta Story

#chloe bennet #zachary wang #awvee storey #social #instagram #video

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ohtheseskaters · 3 years ago

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#ice dance #gran premio d'italia 2021 #Gabriella Papadakis #Guillaume Cizeron #madison hubbell #zachary donohue #Alexandra Stepanova #Ivan Bukin #caroline green #Michael Parsons #shiyue wang #xinyu liu

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papciz-gram · 3 years ago

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irishwinter Free Dance #FigureSkating Olympic Winter Games #Beijing2022 °°° #PiperGilles #PaulPoirier #Gabriellapapadakis #guillaumecizeron #ZacharyDonohue #CharleneGuignard #adriandiaz #oliviasmart #madisonhubbell #VictoriaSinitsina #NikitaKatsalapov #madisonchock #evanbates #ShiyueWang #XinyuLiu #IceDance #patinajeartistico #pattinaggioartistico #eiskunstlauf #фигурноекатание #フィギュアスケート #patinageartistique #sportsphotography #WorldFigure #canonphotography #olympics #olympicgames #winterolympics2022 (14.02.2022)

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sinnamonscouture · 4 years ago

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Vanessa Pan, Wang Wen, U Seng I, Zhou Hengchi and Zachary Chou covers Vogue Taiwan, January 2021

#Vanessa Pan Wang Wen U Seng I Zhou Hengchi and Zachary Chou covers Vogue Taiwan January 2021 #fashion #style #model #beauty #asian actor #asian actress #asain girl #asian beauty #Asian #vanessa pan #wang wen #Zachary Chou #u seng I #Zhou Hengchi #vogue taiwan #vogue

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pacingmusings · 5 years ago

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Seen in 2019:

A Bread Factory, Part One: For the Sake of Gold (Patrick Wang), 2018

#films #movies #stills #A Bread Factory #Part One #For the Sake of Gold #Patrick Wang #Glynnis O'Connor #Zachary Sayle #seen in 2019 #2010s #Mubi

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jcmarchi · 1 year ago

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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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