Valentin Thomas

Cited by

	All	Since 2018
Citations	350	347
h-index	8	8
i10-index	8	8

20172018201920202021202220233 34 50 64 68 84 47

Co-authors

Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Emmanuel BengioMcGill UniversityVerified email at mail.mcgill.ca
Jules PondardÉcole Normale Supérieure de ParisVerified email at ens.fr
Philippe BeaudoinWaverlyVerified email at mywaverly.com
Nicolas Le RouxMicrosoft Research, McGill, UdeMVerified email at le-roux.name
Alexandre PichéServiceNow Research, MilaVerified email at mail.mcgill.ca
Fabian PedregosaGoogleVerified email at google.com
Wesley ChungMcGill UniversityVerified email at mail.mcgill.ca
Hugo LarochelleGoogle Brain & MilaVerified email at google.com
William FedusOpenAIVerified email at openai.com
Marlos C. MachadoUniversity of AlbertaVerified email at ualberta.ca
Akhilesh GotmareSalesforce ResearchVerified email at salesforce.com
Martin JaggiEPFLVerified email at epfl.ch
Jincheng MeiResearch Scientist, Google BrainVerified email at google.com

Valentin Thomas

PhD student, Mila, University of Montreal

Verified email at umontreal.ca - Homepage

machine learning reinforcement learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Independently Controllable Factors V Thomas, J Pondard, E Bengio*, M Sarfati, P Beaudoin, MJ Meurs, ... arXiv preprint arXiv:1708.01289, 2017	87	2017
Disentangling the independently controllable factors of variation by interacting with the world V Thomas, E Bengio, W Fedus, J Pondard, P Beaudoin, H Larochelle, ... NIPS 2017 workshop on Learning Disentangled Representations: from …, 2018	59	2018
On the interplay between noise and curvature and its effect on optimization and generalization V Thomas, F Pedregosa, B Merriënboer, PA Manzagol, Y Bengio, ... International Conference on Artificial Intelligence and Statistics, 3503-3513, 2020	50	2020
Probabilistic Planning with Sequential Monte Carlo methods V Thomas, A Piché, C Ibrahim, Y Bengio, C Pal ICLR, https://openreview.net/pdf?id=ByetGn0cYX, 2019	43*	2019
Independently Controllable Features E Bengio, V Thomas, J Pineau, D Precup, Y Bengio RLDM 2017, 2017	43	2017
Beyond variance reduction: Understanding the true impact of baselines on policy optimization V Thomas, W Chung, MC Machado, N Le Roux International Conference on Machine Learning, 1999-2009, 2021	26	2021
Decoupling Backpropagation using Constrained Optimization Methods A Gotmare, V Thomas, J Brea, M Jaggi ICML 2018 workshop on Efficient Credit Assignment, 2018	16	2018
Information matrices and generalization V Thomas, F Pedregosa, B van Merriënboer, PA Mangazol, Y Bengio, ... arXiv preprint arXiv:1906.07774, 2019	14	2019
Beyond Target Networks: Improving Deep -learning with Functional Regularization A Piché, V Thomas, J Marino, GM Marconi, C Pal, ME Khan arXiv preprint arXiv:2106.02613, 2021	8	2021
The Role of Baselines in Policy Gradient Optimization J Mei, W Chung, V Thomas, B Dai, C Szepesvari, D Schuurmans Advances in Neural Information Processing Systems 35, 17818-17830, 2022	2	2022
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation V Thomas NeurIPS, https://openreview.net/forum?id=g-H3oNAR, 2022	2	2022
Contrôle de l’intrication de deux Qubits V Thomas
Planning with Latent Simulated Trajectories A Piché1, V Thomas12, C Ibrahim, J Cornebise, C Pal

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