Max Schwarzer - RankMe

28 papers A* 10A 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Competitive Programming with Large Reasoning Models. CoRR Ahmed El-Kishky, Alexander Wei, Andre Saraiva, Borys Minaiev, Daniel Selsam, David Dohan, Francis Song, Hunter Lightman, Ignasi Clavera Gilaberte, Jakub Pachocki, Jerry Tworek, Lorenz Kuhn, Lukasz Kaiser, Mark Chen, Max Schwarzer, Mostafa Rohaninejad, Nat McAleese, o3 contributors, Oleg Mürk, Rhythm Garg, Rui Shu, Szymon Sidor, Vineet Kosaraju, Wenda Zhou
2024	A*	`conf`	Large Language Models as Generalizable Policies for Embodied Tasks. ICLR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
2024	J	`jnl`	MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang
2024	—	`conf`	MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. ECCV (29) Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang
2023	A*	`conf`	Bigger, Better, Faster: Human-level Atari with human-level efficiency. ICML Max Schwarzer, Johan S. Obando-Ceron, Aaron C. Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro
2023	J	`jnl`	Bigger, Better, Faster: Human-level Atari with human-level efficiency. CoRR Max Schwarzer, Johan S. Obando-Ceron, Aaron C. Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro
2023	J	`jnl`	Large Language Models as Generalizable Policies for Embodied Tasks. CoRR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
2023	J	`jnl`	Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy. CoRR Max Schwarzer, Jesse Farebrother, Joshua Greaves, Ekin Dogus Cubuk, Rishabh Agarwal, Aaron C. Courville, Marc G. Bellemare, Sergei V. Kalinin, Igor Mordatch, Pablo Samuel Castro, Kevin M. Roccapriore
2023	A*	`conf`	Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier. ICLR Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville
2023	A*	`conf`	Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. ICLR Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville
2022	J	`jnl`	Beyond Tabula Rasa: Reincarnating Reinforcement Learning. CoRR Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare
2022	A*	`conf`	Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress. NeurIPS Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare
2022	J	`jnl`	Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. CoRR Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron C. Courville
2022	A*	`conf`	The Primacy Bias in Deep Reinforcement Learning. ICML Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
2022	J	`jnl`	The Primacy Bias in Deep Reinforcement Learning. CoRR Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
2022	J	`jnl`	To join or not to join?-A framework for the evaluation of enterprise blockchain consortia. Frontiers Blockchain Max Schwarzer, Tan Gürpinar, Michael Henke
2021	—	`conf`	Blockchain Technology in Supply Chain Management - A Discussion of Current and Future Research Topics. SmartCity360° Tan Gürpinar, Nick Große, Max Schwarzer, Eugen Burov, Roman Stammes, Philipp Asterios Ioannidis, Larissa Krämer, Rico Ahlbäumer, Michael Henke
2021	A*	`conf`	Data-Efficient Reinforcement Learning with Self-Predictive Representations. ICLR Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman
2021	A*	`conf`	Deep Reinforcement Learning at the Edge of the Statistical Precipice. NeurIPS Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare
2021	J	`jnl`	Deep Reinforcement Learning at the Edge of the Statistical Precipice. CoRR Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare
2021	A*	`conf`	Iterated learning for emergent systematicity in VQA. ICLR Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville
2021	J	`jnl`	Iterated learning for emergent systematicity in VQA. CoRR Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville
2021	A*	`conf`	Pretraining Representations for Data-Efficient Reinforcement Learning. NeurIPS Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R. Devon Hjelm, Philip Bachman, Aaron C. Courville
2021	J	`jnl`	Pretraining Representations for Data-Efficient Reinforcement Learning. CoRR Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R. Devon Hjelm, Philip Bachman, Aaron C. Courville
2020	J	`jnl`	Data-Efficient Reinforcement Learning with Momentum Predictive Representations. CoRR Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman
2020	A	`conf`	GAIT: A Geometric Approach to Information Theory. AISTATS Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien
2019	J	`jnl`	GEAR: Geometry-Aware Rényi Information. CoRR Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien
2018	J	`jnl`	Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks. CoRR Max Schwarzer, Bryce Rogan, Yadong Ruan, Zhengming Song, Diana Lee, Allon G. Percus, Viet T. Chau, Bryan A. Moore, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan