| 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 | 2388 | 2023 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ... Proceedings of the National Academy of Sciences 118 (15), e2016239118, 2021 | 2248 | 2021 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 896 | 2024 |
| Beyond english-centric multilingual machine translation A Fan, S Bhosale, H Schwenk, Z Ma, A El-Kishky, S Goyal, M Baines, ... Journal of Machine Learning Research 22 (107), 1-48, 2021 | 838 | 2021 |
| Open catalyst 2020 (OC20) dataset and community challenges L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ... Acs Catalysis 11 (10), 6059-6072, 2021 | 563 | 2021 |
| The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts R Tran, J Lan, M Shuaibi, BM Wood, S Goyal, A Das, J Heras-Domingo, ... ACS Catalysis 13 (5), 3066-3084, 2023 | 146 | 2023 |
| An introduction to electrocatalyst design using machine learning for renewable energy storage CL Zitnick, L Chanussot, A Das, S Goyal, J Heras-Domingo, C Ho, W Hu, ... arXiv preprint arXiv:2010.09435, 2020 | 91 | 2020 |
| Forcenet: A graph neural network for large-scale quantum calculations W Hu, M Shuaibi, A Das, S Goyal, A Sriram, J Leskovec, D Parikh, ... arXiv preprint arXiv:2103.01436, 2021 | 74 | 2021 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. bioRxiv A Rives, S Goyal, J Meier, D Guo, M Ott, CL Zitnick, J Ma, R Fergus | 72 | 2019 |
| Role of urea–aromatic stacking interactions in stabilizing the aromatic residues of the protein in urea-induced denatured state S Goyal, A Chattopadhyay, K Kasavajhala, UD Priyakumar Journal of the American Chemical Society 139 (42), 14931-14946, 2017 | 64 | 2017 |
| Fairscale: A general purpose modular pytorch library for high performance and large scale training M Baines, S Bhosale, V Caggiano, N Goyal, S Goyal, M Ott, B Lefaudeux, ... | 46 | 2021 |
| Craftassist: A framework for dialogue-enabled interactive agents J Gray, K Srinet, Y Jernite, H Yu, Z Chen, D Guo, S Goyal, CL Zitnick, ... arXiv preprint arXiv:1907.08584, 2019 | 38 | 2019 |
| Sumoylation of Sir2 differentially regulates transcriptional silencing in yeast A Hannan, NM Abraham, S Goyal, I Jamir, UD Priyakumar, K Mishra Nucleic acids research 43 (21), 10213-10226, 2015 | 33 | 2015 |
| Transfer learning using attentions across atomic systems with graph neural networks (TAAG) A Kolluru, N Shoghi, M Shuaibi, S Goyal, A Das, CL Zitnick, Z Ulissi The Journal of Chemical Physics 156 (18), 2022 | 32 | 2022 |
| Towards training billion parameter graph neural networks for atomic simulations A Sriram, A Das, BM Wood, S Goyal, CL Zitnick arXiv preprint arXiv:2203.09697, 2022 | 29 | 2022 |
| Why Build an Assistant in Minecraft? A Szlam, J Gray, K Srinet, Y Jernite, A Joulin, G Synnaeve, D Kiela, H Yu, ... arXiv preprint arXiv:1907.09273, 2019 | 24 | 2019 |
| Trace norm regularization and faster inference for embedded speech recognition rnns M Kliegl, S Goyal, K Zhao, K Srinet, M Shoeybi arXiv preprint arXiv:1710.09026, 2017 | 9 | 2017 |
| The Open Catalyst Challenge 2021: Competition Report. A Das, M Shuaibi, A Palizhati, S Goyal, A Grover, A Kolluru, J Lan, A Rizvi, ... NeurIPS (Competition and Demos), 29-40, 2021 | 3 | 2021 |
| The Open Catalyst 2020 (OC20) Dataset and Community Challenges. arXiv e-prints 2020 L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ... arXiv preprint arXiv:2010.09990, 2010 | 3 | 2010 |
| ForceNet: A Graph Neural Network for Large-Scale Quantum Chemistry Simulation W Hu, M Shuaibi, A Das, S Goyal, A Sriram, J Leskovec, D Parikh, ... | 1 | 2021 |
