| Solving the Rubik’s cube with deep reinforcement learning and search F Agostinelli, S McAleer, A Shmakov, P Baldi Nature Machine Intelligence 1 (8), 356-363, 2019 | 231 | 2019 |
| Solving the Rubik's Cube Without Human Knowledge S McAleer, F Agostinelli, A Shmakov, P Baldi arXiv preprint arXiv:1805.07470, 2018 | 98* | 2018 |
| Deep learning for drug discovery and cancer research: Automated analysis of vascularization images G Urban, K Bache, DTT Phan, A Sobrino, AK Shmakov, SJ Hachey, ... IEEE/ACM transactions on computational biology and bioinformatics 16 (3 …, 2018 | 74 | 2018 |
| Permutationless many-jet event reconstruction with symmetry preserving attention networks MJ Fenton, A Shmakov, TW Ho, SC Hsu, D Whiteson, P Baldi Physical Review D 105 (11), 112008, 2022 | 54 | 2022 |
| SPANet: Generalized permutationless set assignment for particle physics using symmetry preserving attention A Shmakov, MJ Fenton, TW Ho, SC Hsu, D Whiteson, P Baldi SciPost Physics 12 (5), 178, 2022 | 52 | 2022 |
| End-to-end latent variational diffusion models for inverse problems in high energy physics A Shmakov, K Greif, M Fenton, A Ghosh, P Baldi, D Whiteson Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| Multi-agent reinforcement learning controller to maximize energy efficiency for multi-generator industrial wave energy converter S Sarkar, V Gundecha, A Shmakov, S Ghorbanpour, AR Babu, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12135 …, 2022 | 25 | 2022 |
| A* search without expansions: Learning heuristic functions with deep q-networks F Agostinelli, A Shmakov, S McAleer, R Fox, P Baldi arXiv preprint arXiv:2102.04518, 2021 | 21 | 2021 |
| SPANet: Generalized permutationless set assignment for particle physics using symmetry preserving attention, SciPost Phys A Shmakov, MJ Fenton, TW Ho, SC Hsu, D Whiteson, P Baldi arXiv preprint arXiv:2106.03898, 2022 | 18 | 2022 |
| Skip training for multi-agent reinforcement learning controller for industrial wave energy converters S Sarkar, V Gundecha, S Ghorbanpour, A Shmakov, AR Babu, A Pichard, ... 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 16 | 2022 |
| Rxn hypergraph: a hypergraph attention model for chemical reaction representation M Tavakoli, A Shmakov, F Ceccarelli, P Baldi arXiv preprint arXiv:2201.01196, 2022 | 13 | 2022 |
| Measuring robustness with black-box adversarial attack using reinforcement learning S Sarkar, S Mousavi, AR Babu, V Gundecha, S Ghorbanpour, ... NeurIPS ML Safety Workshop, 2022 | 11 | 2022 |
| Multi-objective reinforcement learning controller for multi-generator industrial wave energy converter S Sarkar, V Gundecha, A Shmakov, S Ghorbanpour, AR Babu, ... NeurIPs Tackling Climate Change with Machine Learning Workshop 2, 2021 | 11 | 2021 |
| Robustness with Black-Box Adversarial Attack using Reinforcement Learning. S Sarkar, AR Babu, S Mousavi, V Gundecha, S Ghorbanpour, A Shmakov, ... SafeAI@ AAAI, 2023 | 9 | 2023 |
| Decoding network-mediated retinal response to electrical stimulation: implications for fidelity of prosthetic vision E Ho, A Shmakov, D Palanker Journal of neural engineering 17 (6), 066018, 2020 | 9 | 2020 |
| Obtaining approximately admissible heuristic functions through deep reinforcement learning and A* search F Agostinelli, S McAleer, A Shmakov, R Fox, M Valtorta, B Srivastava, ... Bridging the Gap between AI Planning and Reinforcement Learning workshop at …, 2021 | 8 | 2021 |
| Rtdk-bo: High dimensional bayesian optimization with reinforced transformer deep kernels A Shmakov, A Naug, V Gundecha, S Ghorbanpour, RL Gutierrez, ... 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 5 | 2023 |
| Function approximation for reinforcement learning controller for energy from spread waves S Sarkar, V Gundecha, S Ghorbanpour, A Shmakov, AR Babu, A Naug, ... arXiv preprint arXiv:2404.10991, 2024 | 4 | 2024 |
| Improved modeling of the discrete component of the Galactic interstellar -ray emission and implications for the Fermi–LAT Galactic Center excess CM Karwin, A Broughton, S Murgia, A Shmakov, M Tavakoli, P Baldi Physical Review D 107 (12), 123032, 2023 | 4 | 2023 |
| AI for interpretable chemistry: predicting radical mechanistic pathways via contrastive learning M Tavakoli, P Baldi, AM Carlton, YT Chiu, A Shmakov, D Van Vranken Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
