Publications

Date: 7 May 24 7 May 2024
Title: Learning 3D Particle-based Simulators from RGB-D Videos
Authors: Will Whitney, Tatiana López, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly Stachenfeld, Kelsey Allen
Venue: ICLR 2024

Date: 7 May 24 7 May 2024
Title: π2vec: Policy Representations with SuccessorFeatures
Authors: Gianluca Scarpellini*, Ksenia Konyushkova, Claudio Fantacci, Tom Paine, Yutian Chen, Misha Denil
Venue: ICLR 2024

Date: 7 May 24 7 May 2024
Title: Language Modeling Is Compression
Authors: Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne*, Elliot Catt, Tim Genewein, cmattern , Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
Venue: ICLR 2024

Date: 7 May 24 7 May 2024
Title: Privacy Amplification by Sampling for the Matrix Mechanism.
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta
Venue: ICLR 2024

Date: 6 May 24 6 May 2024
Title: Position: Leverage Foundational Models for Black-Box Optimization
Authors: Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
Venue: ICML 2024

Date: 6 May 24 6 May 2024
Title: ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
Authors: Kensen Shi, Joey Hong*, Yinlin Deng*, Pengcheng Yin, Manzil Zaheer, Charles Sutton
Venue: ICLR 2024

Date: 25 Apr 24 25 April 2024
Title: Improving Dictionary Learning with Gated Sparse Autoencoders
Authors: Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda
Venue: arXiv

Date: 22 Apr 24 22 April 2024
Title: Holistic Safety and Responsibility Evaluations of Advanced AI Models
Authors: Laura Weidinger, Toby Shevlane, Jenny Brennan, Christina Butterfield, Susie Young, Will Hawkins, Lisa Anne Hendricks, Ramona Comanescu, Oscar Chang, Lev Proleev, Mikel Rodriguez, Jennifer Beroshi, Dawn Bloxwich, Allan Dafoe, William Isaac
Venue: arXiv

Date: 17 Apr 24 17 April 2024
Title: Many-Shot In-Context Learning
Authors: Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle
Venue: arXiv

Date: 10 Apr 24 10 April 2024
Title: Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Authors: Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy Huang, Dhruva TB, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Siegel, Roland Hafner, Michael Bloesch, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Nathan Batchelor, Federico Casarini, Stefano Saliceti, cgame , Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess, Kristian Hartikainen*, Fereshteh Sadeghi*
Venue: Science Robotics

Date: 5 Apr 24 5 April 2024
Title: Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments
Authors: Oliver Unke, Martin Stöhr*, Stefan Ganscha, Thomas Unterthiner, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger*, Leonardo Medrano Sandonas*, Joshua T. Berryman*, Alexandre Tkatchenko*, Klaus-Robert Müller
Venue: Science Advances

Date: 29 Mar 24 29 March 2024
Title: Gecko: Versatile Text Embeddings Distilled from Large Language Models
Authors: Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Karthik Duddu, Gustavo Hernandez Abrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim
Venue: arXiv

Date: 28 Mar 24 28 March 2024
Title: Learning from One Continuous Video Stream
Authors: Joao Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
Venue: CVPR 2024

Date: 27 Mar 24 27 March 2024
Title: Long-form factuality in large language models
Authors: Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
Venue: arXiv

Date: 21 Mar 24 21 March 2024
Title: Evaluating Frontier Models for Dangerous Capabilities
Authors: Mary Phuong, Matthew Aitchison, Elliot Catt, Scogan ‎(Sarah Cogan), Heidi Howard, Alex Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Maria Abi Raad, Tom Lieberum, Sebastian Farquhar, gdelt , Anian Ruoss, Marcus Hutter, Rohin Shah, Allan Dafoe, Toby Shevlane, Sarah Hodkinson, Sharon Lin, Albert Webson, Lewis Ho, Seliem El-Sayed, Sasha Brown
Venue: arXiv

Date: 19 Mar 24 19 March 2024
Title: DiPaCo: Distributed Path Composition
Authors: Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro , Yani Donchev , Rachita Chhaparia , Ionel Gog , Marc’Aurelio Ranzato, Jiajun Shen, Arthur Szlam
Venue: arXiv

Date: 11 Mar 24 11 March 2024
Title: Model-free Posterior Sampling via Learning Rate Randomization
Authors: Daniil Tiapkin*, Denis Belomestny*, Daniele Calandriello, Éric Moulines*, Rémi Munos, Alexey Naumov*, Pierre Perrault*, Michal Valko, Pierre Ménard*
Venue: NeurIPS 2023

Date: 11 Mar 24 11 March 2024
Title: Understanding Learning from Human Preferences
Authors: Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, Zhaohan Daniel Guo, Daniele Calandriello, Michal Valko, Rémi Munos
Venue: (deprecated) AISTATS2024

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