Publications

Date: 10 Dec 24 10 December 2024
Title: Machine Unlearning Doesn’t Do What You Think: Lessons for Generative AI Policy, Research, and Practice
Authors: A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna Wallach, Nicolas Papernot, Katherine Lee
Venue: arXiv

Date: 4 Dec 24 4 December 2024
Title: Mastering Board Games by External and Internal Planning with Language Models
Authors: John Schultz, Jakub Adamek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada Lewis, Anian Ruoss, Tom Zahavy, Petar Veličković, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomašev
Venue: arXiv

Date: 26 Nov 24 26 November 2024
Title: How Well Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
Authors: Sohee Yang, Nora Kassner, Elena Gribovskaya, Sebastian Riedel, Mor Geva
Venue: arXiv

Date: 18 Oct 24 18 October 2024
Title: AI can help humans find common ground in democratic deliberation
Authors: Michael Henry Tessler†, Michiel A Bakker†, Daniel Jarrett, Hannah Sheahan*, Martin Chadwick, Raphael Koster, Georgina Evans, Lucy Campbell-Gillingham, Teddy Collins*, David C Parkes*, Matthew Botvinick, Christopher Summerfield*
Venue: Science

Date: 14 Oct 24 14 October 2024
Title: Predicting from Strings: Language Model Embeddings for Bayesian Optimization
Authors: Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jorg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou Song
Venue: arXiv

Date: 9 Oct 24 9 October 2024
Title: Diffusion model predictive control
Authors: Stannis Zhou, Siva Swaminathan, Rajkumar Vasudeva Raju, Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lazaro-Gredilla, Kevin Murphy
Venue: arXiv

Date: 21 Sep 24 21 September 2024
Title: Learned feature representations are biased by complexity, learning order, position, and more
Authors: Andrew Lampinen, Stephanie Chan, Katherine Hermann
Venue: Transactions on Machine Learning Research (TMLR)

Date: 19 Sep 24 19 September 2024
Title: Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
Authors: Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahar Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay Ramasesh, Quoc Le, Ed Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska
Venue: arXiv

Date: 21 Aug 24 21 August 2024
Title: The Vizier Gaussian Process Bandit Algorithm
Authors: Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
Venue: arXiv

Date: 20 Aug 24 20 August 2024
Title: Swim till you sink: Computing the limit of a game
Authors: Rashida Hakim, Jason Milionis, Christos Papadimitriou, Georgios Piliouras
Venue: arXiv

Date: 13 Aug 24 13 August 2024
Title: The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
Authors: Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, Maria Perez-Ortiz
Venue: ACL 2024

Date: 7 Aug 24 7 August 2024
Title: Achieving Human Level Competitive Robot Table Tennis
Authors: David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, and Pannag R. Sanketi
Venue: arXiv

Date: 31 Jul 24 31 July 2024
Title: Pre-trained Gaussian processes for Bayesian optimization
Authors: Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
Venue: JMLR

Date: 30 Jul 24 30 July 2024
Title: Mixture of Nested Experts: Adaptive Processing of Visual Tokens
Authors: Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
Venue: arXiv

Date: 21 Jul 24 21 July 2024
Title: Levels of AGI for Operationalizing Progress on the Path to AGI
Authors: Meredith Ringel Morris, Jascha Sohl-dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farbaret, Shane Legg
Venue: ICML 2024

Date: 16 Jul 24 16 July 2024
Title: Neural Climate Data Compression
Authors: Piotr Mirowski, David Warde-Farley, Mihaela Rosca , Matthew Koichi Grimes , Yana Hasson, Hyunjik Kim, Mélanie Rey, Simon Osindero, Suman Ravuri and Shakir Mohamed
Venue: arXiv

Date: 16 Jul 24 16 July 2024
Title: Language models, like humans, show content effects on reasoning tasks
Authors: Andrew K Lampinen*, Ishita Dasgupta*, Stephanie C Y Chan, Hannah R Sheahan, Antonia Creswell, Dharshan Kumaran, James L McClelland, Felix Hill (*equal contribution)
Venue: PNAS Nexus

Date: 17 Jun 24 17 June 2024
Title: Bayes' Rays: uncertainty quantification for neural radiance fields
Authors: Lily Goli, Cody Reading, Silvia Sellan, Alec Jacobson, Andrea Tagliasacchi
Venue: CVPR 2024

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