Publications

Date: 6 Nov 23 6 November 2023
Title: Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
Authors: Ankit Anand, Matej Balog, Anna Bulanova, Gheorghe Comanici, Hyunjik Kim, Andrew Lee, Tudor Berariu*, Abbas Mehrabian, Laurent Orseau, Doina Precup, Anian Ruoss, Nicolas Sonnerat, Daniel Toyama, Petar Veličković, Sam Blackwell, Joonkyung Lee*, Anurag Murty Naredla*, Bernardino Romera Paredes, Adam Zsolt Wagner*
Venue: arXiv

Date: 3 Nov 23 3 November 2023
Title: Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Authors: Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
Venue: NeurIPS 2023

Date: 3 Nov 23 3 November 2023
Title: RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Authors: Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao
Venue: ICLR 2024

Date: 2 Nov 23 2 November 2023
Title: Optimistic Meta-Gradients
Authors: Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado van Hasselt, András György, Satinder Singh
Venue: NeurIPS 2023

Date: 2 Nov 23 2 November 2023
Title: Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
Authors: Qinghua Liu, Gellért Weisz, András György, Chi Jin, Csaba Szepesvári
Venue: NeurIPS 2023

Date: 1 Nov 23 1 November 2023
Title: RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
Authors: Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil Joshi, Pete Florence, Wei Han, Robert Baruch, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, ichter , Yuan Cao
Venue: ICRA 2024

Date: 30 Oct 23 30 October 2023
Title: Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning
Authors: Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Perolat
Venue: Transactions on Machine Learning Research (TMLR)

Date: 26 Oct 23 26 October 2023
Title: Generative replay for compositional visual understanding in the prefrontal-hippocampal circuit
Authors: Zeb Kurth-Nelson, Matt Botvinick, Tim Behrens*, Ray Dolan*, Philipp Schwartenbeck*, Yunzhe Liu*, Tim Muller*, Shirley Mark*, Alon Baram*
Venue: Cell

Date: 20 Oct 23 20 October 2023
Title: Scalable Neural Network Kernels
Authors: Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao, Avinava Dubey, Valerii Likhosherstov
Venue: ICLR 2024

Date: 18 Oct 23 18 October 2023
Title: Sociotechnical Safety Evaluation of generative AI systems
Authors: Laura Weidinger, Nahema Marchal, Maribeth Rauh, Arianna Manzini, Lisa Anne Hendricks, Juan Mateos-Garcia, Stevie Bergman, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, William Isaac
Venue: arXiv

Date: 18 Oct 23 18 October 2023
Title: Scalable Diffusion for Materials Generation
Authors: Sherry Yang, Amil Merchant, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk, Pieter Abbeel*, Ruben Cho*
Venue: ICLR 2024

Date: 9 Oct 23 9 October 2023
Title: DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
Authors: Max Seitzer*, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
Venue: ICLR 2024

Date: 9 Oct 23 9 October 2023
Title: Learning Interactive Real-World Simulator
Authors: Sherry Yang, Kamyar Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel*, Yilun Du*
Venue: ICLR 2024

Date: 9 Oct 23 9 October 2023
Title: Step-Back Prompting Enables Reasoning via Abstraction in Large Language Models
Authors: Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed Chi, Quoc Le, Denny Zhou
Venue: arXiv

Date: 5 Oct 23 5 October 2023
Title: An Impossibility Theorem in Game Dynamics
Authors: Jason Milionis, Christos Papadimitriou, Georgios Piliouras, Kelly Spendlove
Venue: Proceedings of the National Academy of Sciences (PNAS)

Date: 5 Oct 23 5 October 2023
Title: Assessing LLMs on Climate Information
Authors: Jannis Bulian, Mike Schäfer*, afraamini , Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Huebscher, Christian Buck, Niels Mede*, Markus Leippold, Nadine Strauss*
Venue: arXiv

Date: 3 Oct 23 3 October 2023
Title: Large Language Models Cannot Self-Correct Reasoning Yet
Authors: jeffhj , Xinyun Chen, Swaroop Mishra, Steven Zheng, Adams Yu, Xinying Song, Denny Zhou
Venue: arXiv

Date: 3 Oct 23 3 October 2023
Title: Large Language Models as Analogical Reasoners
Authors: Michihiro Yasunaga*, Xinyun Chen, Yujia Li, Ice Pasupat, Jure Leskovec*, Percy Liang*, Ed Chi, Denny Zhou
Venue: arXiv

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