| Virtual machine placement optimization supporting performance SLAs A Anand, J Lakshmi, SK Nandy 2013 IEEE 5th international conference on cloud computing technology and …, 2013 | 80 | 2013 |
| Resource usage monitoring for kvm based virtual machines A Anand, M Dhingra, J Lakshmi, SK Nandy 2012 18th International Conference on Advanced Computing and Communications …, 2012 | 44 | 2012 |
| Asap-uct: Abstraction of state-action pairs in uct A Anand, A Grover, M Mausam, P Singla Proceedings of the 24th International Conference on Artificial Intelligence …, 2015 | 37 | 2015 |
| Geomverse: A systematic evaluation of large models for geometric reasoning M Kazemi, H Alvari, A Anand, J Wu, X Chen, R Soricut arXiv preprint arXiv:2312.12241, 2023 | 27 | 2023 |
| Learning to prove from synthetic theorems E Aygün, Z Ahmed, A Anand, V Firoiu, X Glorot, L Orseau, D Precup, ... arXiv preprint arXiv:2006.11259, 2020 | 21 | 2020 |
| Proving theorems using incremental learning and hindsight experience replay E Aygün, A Anand, L Orseau, X Glorot, SM Mcaleer, V Firoiu, LM Zhang, ... International Conference on Machine Learning, 1198-1210, 2022 | 17 | 2022 |
| Oga-uct: On-the-go abstractions in uct A Anand, R Noothigattu, P Singla Proceedings of the International Conference on Automated Planning and …, 2016 | 17 | 2016 |
| Training a first-order theorem prover from synthetic data V Firoiu, E Aygun, A Anand, Z Ahmed, X Glorot, L Orseau, L Zhang, ... arXiv preprint arXiv:2103.03798, 2021 | 16 | 2021 |
| Contextual symmetries in probabilistic graphical models A Anand, A Grover, P Singla arXiv preprint arXiv:1606.09594, 2016 | 16 | 2016 |
| Learning representations of logical formulae using graph neural networks X Glorot, A Anand, E Aygun, S Mourad, P Kohli, D Precup Neural Information Processing Systems, Workshop on Graph Representation Learning, 2019 | 14 | 2019 |
| Learning about progress from experts J Bruce, A Anand, B Mazoure, R Fergus The Eleventh International Conference on Learning Representations, 2023 | 13 | 2023 |
| AutoMix: Mixing Models with Few-shot Self and Meta Verification A Madaan, P Aggarwal, A Anand, SP Potharaju, S Mishra, P Zhou, ... R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 0 | 11* | |
| Adaptive virtual machine placement supporting performance SLAs A Anand M. Tech Thesis, 1-15, 2013 | 7 | 2013 |
| Mausam; and Singla A Anand, A Grover Contextual Symmetries in Probabilistic Graphical Models. In International …, 2016 | 6 | 2016 |
| A novel abstraction framework for online planning A Anand, A Grover, Mausam, P Singla Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015 | 6 | 2015 |
| ReMI: A Dataset for Reasoning with Multiple Images M Kazemi, N Dikkala, A Anand, P Devic, I Dasgupta, F Liu, B Fatemi, ... arXiv preprint arXiv:2406.09175, 2024 | 5 | 2024 |
| Code as Reward: Empowering Reinforcement Learning with VLMs D Venuto, SN Islam, M Klissarov, D Precup, S Yang, A Anand arXiv preprint arXiv:2402.04764, 2024 | 5 | 2024 |
| Finding increasingly large extremal graphs with alphazero and tabu search A Mehrabian, A Anand, H Kim, N Sonnerat, M Balog, G Comanici, ... arXiv preprint arXiv:2311.03583, 2023 | 5 | 2023 |
| Block-value symmetries in probabilistic graphical models G Madan, A Anand, P Singla arXiv preprint arXiv:1807.00643, 2018 | 5 | 2018 |
| Coarse-to-fine lifted map inference in computer vision H Habeeb, A Anand, P Singla arXiv preprint arXiv:1707.07165, 2017 | 5 | 2017 |
Doina PrecupDeepMind and McGill University在 cs.mcgill.ca 的电子邮件经过验证
