Ankesh Anand
Ankesh Anand
Google DeepMind
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Data-Efficient Reinforcement Learning with Self-Predictive Representations
M Schwarzer*, A Anand*, R Goel, RD Hjelm, A Courville, P Bachman
ICLR 2021, 2020
Unsupervised State Representation Learning in Atari
A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm
NeurIPS 2019, 2019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
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
Pretraining Representations for Data-Efficient Reinforcement Learning
M Schwarzer, N Rajkumar, M Noukhovitch, A Anand, L Charlin, D Hjelm, ...
NeurIPS 2021, 2021
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
Blindfold Baselines for Embodied QA
A Anand, E Belilovsky, K Kastner, H Larochelle, A Courville
arXiv preprint arXiv:1811.05013, 2018
Beyond human data: Scaling self-training for problem-solving with language models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, PJ Liu, J Harrison, ...
arXiv preprint arXiv:2312.06585, 2023
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
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
Contrastive self-supervised learning
A Anand, 2020
Many-shot in-context learning
R Agarwal, A Singh, LM Zhang, B Bohnet, S Chan, A Anand, Z Abbas, ...
arXiv preprint arXiv:2404.11018, 2024
FairScholar: balancing relevance and diversity for scientific paper recommendation
A Anand, T Chakraborty, A Das
European conference on information retrieval, 753-757, 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
Self-supervision for reinforcement learning
A Anand
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