Solving mixed integer programs using neural networks V Nair, S Bartunov, F Gimeno, I Von Glehn, P Lichocki, I Lobov, ... arXiv preprint arXiv:2012.13349, 2020 | 231 | 2020 |
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning R Addanki, SB Venkatakrishnan, S Gupta, H Mao, M Alizadeh Advances in Neural Information Processing Systems, 3983-3993, 2019 | 105* | 2019 |
Park: An Open Platform for Learning-Augmented Computer Systems H Mao, P Negi, A Narayan, H Wang, J Yang, H Wang, R Marcus, ... Advances in Neural Information Processing Systems, 2490-2502, 2019 | 90 | 2019 |
End-to-end transport for video QoE fairness V Nathan, V Sivaraman, R Addanki, M Khani, P Goyal, M Alizadeh Proceedings of the ACM Special Interest Group on Data Communication, 408-423, 2019 | 65 | 2019 |
Large-scale graph representation learning with very deep gnns and self-supervision R Addanki, PW Battaglia, D Budden, A Deac, J Godwin, T Keck, WLS Li, ... arXiv preprint arXiv:2107.09422, 2021 | 27 | 2021 |
Placeto: Efficient progressive device placement optimization R Addanki, SB Venkatakrishnan, S Gupta, H Mao, M Alizadeh NIPS Machine Learning for Systems Workshop, 2018 | 22 | 2018 |
Neural large neighborhood search V Nair, M Alizadeh Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020 | 15 | 2020 |
Understanding & Generalizing AlphaGo Zero R Addanki, M Alizadeh, SB Venkatakrishnan, D Shah, Q Xie, Z Xu | 1 | 2018 |
Gemini: A Family of Highly Capable Multimodal Models arXiv, 2023 | | 2023 |
LARGE-SCALE NODE CLASSIFICATION WITH BOOTSTRAPPING R Addanki, PW Battaglia, D Budden, A Deac, M DeepMind, J Godwin, ... | | |
LARGE-SCALE GRAPH REGRESSION WITH VERY DEEP GNNS R Addanki, PW Battaglia, D Budden, A Deac, M DeepMind, J Godwin, ... | | |