Ankesh Anand

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	All	Since 2018
Citations	959	938
h-index	10	10
i10-index	10	10

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201720182019202020212022202316 38 77 124 187 282 228

Co-authors

R Devon HjelmApple MLR, MilaVerified email at apple.com
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Max SchwarzerMila, University of Montreal, Apple MLRVerified email at umontreal.ca
Sherjil OzairGoogle DeepMindVerified email at deepmind.com
Hugo LarochelleGoogle DeepMind & MilaVerified email at google.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Evan RacahMosaicMLVerified email at mosaicml.com
Marc-Alexandre CôtéMicrosoft ResearchVerified email at usherbrooke.ca
Florian GolemoMILA & ElementAIVerified email at mila.quebec
Ethan PerezAnthropic; New York UniversityVerified email at anthropic.com
Jessica B. HamrickResearch Scientist at DeepMindVerified email at google.com
Jacob Charles WalkerResearch Scientist, Google DeepMindVerified email at google.com
Theophane WeberResearch Scientist at DeepMindVerified email at google.com
Julian SchrittwieserDeepMindVerified email at furidamu.org
Philip BachmanComputers

Ankesh Anand

Google DeepMind

Verified email at umontreal.ca - Homepage

Deep Learning Reinforcement Learning Self-Supervised Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Unsupervised State Representation Learning in Atari A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm NeurIPS 2019, 2019	239	2019
Data-Efficient Reinforcement Learning with Self-Predictive Representations M Schwarzer, A Anand, R Goel, RD Hjelm, A Courville, P Bachman ICLR 2021, 2020	236*	2020
We used neural networks to detect clickbaits: You won’t believe what happened next! A Anand, T Chakraborty, N Park Advances in Information Retrieval: 39th European Conference on IR Research …, 2017	150	2017
HoME: A household multimodal environment S Brodeur, E Perez, A Anand, F Golemo, L Celotti, F Strub, J Rouat, ... International Conference on Learning Representations (ICLR) Workshop Track, 2018	130	2018
Pretraining Representations for Data-Efficient Reinforcement Learning M Schwarzer, N Rajkumar, M Noukhovitch, A Anand, L Charlin, D Hjelm, ... NeurIPS 2021, 2021	90	2021
Blindfold Baselines for Embodied QA A Anand, E Belilovsky, K Kastner, H Larochelle, A Courville arXiv preprint arXiv:1811.05013, 2018	49	2018
Procedural Generalization by Planning with Self-Supervised World Models A Anand, J Walker, Y Li, E Vértes, J Schrittwieser, S Ozair, T Weber, ... ICLR 2022, 2021	22	2021
Mmgan: Manifold-matching generative adversarial networks N Park, A Anand, JRA Moniz, K Lee, J Choo, DK Park, T Chakraborty, ... 2018 24th international conference on pattern recognition (ICPR), 1343-1348, 2018	17	2018
Contrastive self-supervised learning A Anand https://ankeshanand.com/blog/2020/01/26/contrative-self-supervised-learning.html, 2020	14*	2020
FairScholar: balancing relevance and diversity for scientific paper recommendation A Anand, T Chakraborty, A Das European conference on information retrieval, 753-757, 2017	10	2017
Investigating the role of model-based learning in exploration and transfer JC Walker, E Vértes, Y Li, G Dulac-Arnold, A Anand, T Weber, JB Hamrick International Conference on Machine Learning, 35368-35383, 2023	2	2023

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