János Kramár

According to our database, János Kramár authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

AtP*: An efficient and scalable method for localizing LLM behaviour to components.

János Kramár, Tom Lieberum, Rohin Shah, Neel Nanda

CoRR, 2024

2023

Explaining grokking through circuit efficiency.

Vikrant Varma, Rohin Shah, Zachary Kenton, János Kramár, Ramana Kumar

CoRR, 2023

The Hydra Effect: Emergent Self-repair in Language Model Computations.

Thomas McGrath, Matthew Rahtz, János Kramár, Vladimir Mikulik, Shane Legg

CoRR, 2023

Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla.

Tom Lieberum, Matthew Rahtz, János Kramár, Neel Nanda, Geoffrey Irving, Rohin Shah, Vladimir Mikulik

CoRR, 2023

Power-seeking can be probable and predictive for trained agents.

Victoria Krakovna, János Kramár

CoRR, 2023

Tracr: Compiled Transformers as a Laboratory for Interpretability.

David Lindner, János Kramár, Matthew Rahtz, Thomas McGrath, Vladimir Mikulik

CoRR, 2023

Tracr: Compiled Transformers as a Laboratory for Interpretability.

David Lindner, János Kramár, Sebastian Farquhar, Matthew Rahtz, Tom McGrath, Vladimir Mikulik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent.

Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

A Neural Network Auction For Group Decision Making Over a Continuous Space.

Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learning to Play No-Press Diplomacy with Best Response Policy Iteration.

Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Should I Tear down This Wall? Optimizing Social Metrics by Evaluating Novel Actions.

János Kramár, Neil C. Rabinowitz, Tom Eccles, Andrea Tacchetti

Proceedings of the Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII, 2020

2019

OpenSpiel: A Framework for Reinforcement Learning in Games.

Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis

CoRR, 2019

Learning Reciprocity in Complex Sequential Social Dilemmas.

Tom Eccles, Edward Hughes, János Kramár, Steven Wheelwright, Joel Z. Leibo

CoRR, 2019

Relational Forward Models for Multi-Agent Learning.

Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, János Kramár, Neil C. Rabinowitz, Thore Graepel, Matthew M. Botvinick, Peter W. Battaglia

Proceedings of the 7th International Conference on Learning Representations, 2019

The Imitation Game: Learned Reciprocity in Markov games.

Tom Eccles, Edward Hughes, János Kramár, Steven Wheelwright, Joel Z. Leibo

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Reinforcement and Imitation Learning for Diverse Visuomotor Skills.

Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess

Proceedings of the Robotics: Science and Systems XIV, 2018

2017

Guidelines for Artificial Intelligence Containment.

James Babcock, János Kramár, Roman V. Yampolskiy

CoRR, 2017

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.

David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.

David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Aaron C. Courville, Chris Pal

CoRR, 2016

The AGI Containment Problem.

James Babcock, János Kramár, Roman Yampolskiy

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2010

A Generalized-Zero-Preserving Method for Compact Encoding of Concept Lattices.

Matthew Skala, Victoria Krakovna, János Kramár, Gerald Penn

Proceedings of the ACL 2010, 2010