Aaron Courville
Université de Montréal
H-index: 98
North America-Canada
Top articles of Aaron Courville
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Double gumbel q-learning | Advances in Neural Information Processing Systems | David Yu-Tung Hui Aaron C Courville Pierre-Luc Bacon | 2024/2/13 |
V-star: Training verifiers for self-taught reasoners | arXiv preprint arXiv:2402.06457 | Arian Hosseini Xingdi Yuan Nikolay Malkin Aaron Courville Alessandro Sordoni | 2024/2/9 |
Versatile Energy-Based Probabilistic Models for High Energy Physics | Advances in Neural Information Processing Systems | Taoli Cheng Aaron C Courville | 2024/2/13 |
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision | arXiv preprint arXiv:2404.15721 | Ankit Vani Bac Nguyen Samuel Lavoie Ranjay Krishna Aaron Courville | 2024/4/24 |
Language model alignment with elastic reset | Advances in Neural Information Processing Systems | Michael Noukhovitch Samuel Lavoie Florian Strub Aaron C Courville | 2024/2/13 |
Best Response Shaping | arXiv preprint arXiv:2404.06519 | Milad Aghajohari Tim Cooijmans Juan Agustin Duque Shunichi Akatsuka Aaron Courville | 2024/4/5 |
Group Robust Classification Without Any Group Information | Advances in Neural Information Processing Systems | Christos Tsirigotis Joao Monteiro Pau Rodriguez David Vazquez Aaron C Courville | 2024/2/13 |
Scattered Mixture-of-Experts Implementation | arXiv preprint arXiv:2403.08245 | Shawn Tan Yikang Shen Rameswar Panda Aaron Courville | 2024/3/13 |
Let the flows tell: Solving graph combinatorial problems with GFlowNets | Advances in Neural Information Processing Systems | Dinghuai Zhang Hanjun Dai Nikolay Malkin Aaron C Courville Yoshua Bengio | 2024/2/13 |
In deep reinforcement learning, a pruned network is a good network | arXiv preprint arXiv:2402.12479 | Johan Obando-Ceron Aaron Courville Pablo Samuel Castro | 2024/2/19 |
Improving compositional generalization using iterated learning and simplicial embeddings | Advances in Neural Information Processing Systems | Yi Ren Samuel Lavoie Michael Galkin Danica J Sutherland Aaron C Courville | 2024/2/13 |
Sparse universal transformer | arXiv preprint arXiv:2310.07096 | Shawn Tan Yikang Shen Zhenfang Chen Aaron Courville Chuang Gan | 2023/10/11 |
Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods | Transactions on Machine Learning Research | Yuchen Lu Zhen Liu Aristide Baratin Romain Laroche Aaron Courville | 2023/6/28 |
Diffusion generative flow samplers: Improving learning signals through partial trajectory optimization | arXiv preprint arXiv:2310.02679 | Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron Courville Yoshua Bengio | 2023/10/4 |
Let the flows tell: Solving graph combinatorial optimization problems with gflownets | arXiv preprint arXiv:2305.17010 | Dinghuai Zhang Hanjun Dai Nikolay Malkin Aaron Courville Yoshua Bengio | 2023/5/26 |
Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy | arXiv preprint arXiv:2311.17894 | Max Schwarzer* Jesse Farebrother* Joshua Greaves Ekin Dogus Cubuk Rishabh Agarwal | 2023/11/21 |
Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM | Kevin M Roccapriore Max Schwarzer Joshua Greaves Jesse Farebrother Rishabh Agarwal | 2023/8/1 | |
SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders | Kyle Kastner Tim Cooijmans Yusong Wu Aaron Courville | 2022/5/16 | |
Learning silicon dopant transitions in graphene using scanning transmission electron microscopy | Max Schwarzer Jesse Farebrother Joshua Greaves Kevin Roccapriore Ekin Cubuk | 2023/11/3 | |
Meta-Value Learning: a General Framework for Learning with Learning Awareness | arXiv preprint arXiv:2307.08863 | Tim Cooijmans Milad Aghajohari Aaron Courville | 2023/7/17 |
Co-Authors
