Publications

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: 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

Date: 11 Mar 24 11 March 2024
Title: Prosody for Intuitive Robotic Interface Design: It's Not What You Said, It's How You Said It
Authors: Ellie Sanoubari, Atil Iscen, Leila Takayama, Stefano Saliceti, Corbin Cunningham, Ken Caluwaerts
Venue: HRI 2024 Workshop

Date: 11 Mar 24 11 March 2024
Title: Robust Exploration via Clustering-based Density Estimation
Authors: Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra*, Oliver Groth, Bilal Piot, Michal Valko
Venue: ICLR 2024

Date: 11 Mar 24 11 March 2024
Title: Demonstration-Regularized RL
Authors: Daniil Tiapkin*, Denis Belomestny*, Daniele Calandriello, Éric Moulines*, Alexey Naumov*, Pierre Perrault*, Michal Valko, Pierre Ménard*
Venue: ICLR 2024

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: 4 Mar 24 4 March 2024
Title: AtP*: Efficient and scalable methods for localizing LLM behaviour to components
Authors: János Kramár, Tom Lieberum, Neel Nanda, Rohin Shah
Venue: arXiv

Date: 1 Mar 24 1 March 2024
Title: Approximating the Core of Cooperative Games
Authors: Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Venue: AAMAS 2024

Date: 1 Mar 24 1 March 2024
Title: Towards Practical Reinforcement Learning for Tokamak Magnetic Control
Authors: Brendan Tracey, Andrea Michi, Yuri Chervonyi, Ian Davies, Cosmin Paduraru, Nevena Lazic, Federico Felici*, Timo Ewalds, Craig Donner, Cristian Galperti*, Jonas Buchli, Michael Neunert, Andrea Huber, Jonathan Evens, Paula Kurylowicz, Daniel J. Mankowitz, Martin Riedmiller
Venue: Fusion Engineering and Design

Date: 29 Feb 24 29 February 2024
Title: Self-supervised video pretraining yields strong image representations
Authors: Nikhil Parthasarathy, Ali Eslami, Joao Carreira, Olivier Henaff
Venue: NeurIPS 2023

Date: 29 Feb 24 29 February 2024
Title: Bad Students Make Great Teachers: Active Learning Accelerates Large Scale Visual Understanding
Authors: Talfan Evans, Shreya Pathak, Ryutaro Tanno, Hamza Merzic, Olivier Henaff
Venue: arXiv

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