Scholar
Ankesh Anand
Google Scholar ID: HEozmkMAAAAJ
Google DeepMind
Deep Learning
Reinforcement Learning
Self-Supervised Learning
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Homepage
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Citations & Impact
All-time
Citations
10,866
H-index
14
i10-index
16
Publications
17
Co-authors
13
list available
Contact
Email
hello@ankeshanand.com
CV
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GitHub
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LinkedIn
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Publications
17 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
['"Procedural Generalization by Planning with Self-Supervised World Models", ICLR 2022', '"Pretraining Representations for Data-Efficient Reinforcement Learning", NeurIPS 2021', '"Data-Efficient RL with Self-Predictive Representations", ICLR 2021 Spotlight', '"Unsupervised State Representation Learning in Atari", NeurIPS 2019', '"Blindfold Baselines for Embodied QA", ViGIL Workshop at NeurIPS 2018', '"HoME: a Household Multimodal Environment", ICLR 2018 Workshop Track', '"MMGAN: Manifold Matching Generative Adversarial Networks", ICPR 2018', '"We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!", ECIR 2017']
Co-authors
13 total
Aaron Courville
Professor, DIRO, Université de Montréal, Mila, Cifar CAI chair
R Devon Hjelm
Apple MLR, Mila
Co-author 3
Hugo Larochelle
Mila - Quebec AI Institute
Co-author 5
Yoshua Bengio
Professor of computer science, University of Montreal, Mila, IVADO, CIFAR
Co-author 7
Marc-Alexandre Côté
Microsoft Research
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