| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 1907 | 2023 |
| Fundamentals of deep learning N Buduma, N Buduma, J Papa " O'Reilly Media, Inc.", 2022 | 813 | 2022 |
| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 585 | 2024 |
| Robustfill: Neural program learning under noisy i/o J Devlin, J Uesato, S Bhupatiraju, R Singh, A Mohamed, P Kohli International conference on machine learning, 990-998, 2017 | 456 | 2017 |
| The mirage of action-dependent baselines in reinforcement learning G Tucker, S Bhupatiraju, S Gu, R Turner, Z Ghahramani, S Levine International conference on machine learning, 5015-5024, 2018 | 147 | 2018 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 137 | 2024 |
| The DeepMind JAX Ecosystem, 2020 I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/deepmind 18, 2010 | 102 | 2010 |
| The DeepMind JAX Ecosystem I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/deepmind 24, 25, 2020 | 68 | 2020 |
| Skill rating for generative models C Olsson, S Bhupatiraju, T Brown, A Odena, I Goodfellow arXiv preprint arXiv:1808.04888, 2018 | 43 | 2018 |
| Charline Le Lan, Christopher A G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... | 31 | 2024 |
| The DeepMind JAX Ecosystem, 2020 IB DeepMind, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... URL http://github. com/google-deepmind, 0 | 29 | |
| Lower central series of a free associative algebra over the integers and finite fields S Bhupatiraju, P Etingof, D Jordan, W Kuszmaul, J Li Journal of Algebra 372, 251-274, 2012 | 26 | 2012 |
| Deep API Programmer: Learning to Program with APIs S Bhupatiraju, R Singh, A Mohamed, P Kohli arXiv preprint arXiv:1704.04327, 2017 | 24 | 2017 |
| Multi-agent path finding for precedence-constrained goal sequences H Zhang, J Chen, J Li, B Williams, S Koenig International Joint Conference on Autonomous Agents and Multiagent Systems …, 2022 | 21 | 2022 |
| The DeepMind JAX Ecosystem IB DeepMind, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... | 11 | 2020 |
| Towards mixed optimization for reinforcement learning with program synthesis S Bhupatiraju, KK Agrawal, R Singh arXiv preprint arXiv:1807.00403, 2018 | 9 | 2018 |
| RLax: Reinforcement Learning in JAX, 2020 D Budden, M Hessel, J Quan, S Kapturowski, K Baumli, S Bhupatiraju, ... URL http://github. com/deepmind/rlax, 0 | 8 | |
| Combining model-based and model-free RL via multi-step control variates T Che, Y Lu, G Tucker, S Bhupatiraju, S Gu, S Levine, Y Bengio | 6 | 2018 |
| RecurrentGemma: Moving Past Transformers for Efficient Open Language Models A Botev, S De, SL Smith, A Fernando, GC Muraru, R Haroun, L Berrada, ... arXiv preprint arXiv:2404.07839, 2024 | 5 | 2024 |
| Model ai assignments 2019 TW Neller, R Sooriamurthi, M Guerzhoy, L Zhang, P Talaga, C Archibald, ... Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9751-9753, 2019 | 4 | 2019 |
Rishabh SinghResearch Scientist, Google BrainVerified email at google.com
