| Graphite: Iterative generative modeling of graphs A Grover, A Zweig, S Ermon International conference on machine learning, 2434-2444, 2019 | 357 | 2019 |
| Stochastic optimization of sorting networks via continuous relaxations A Grover, E Wang, A Zweig, S Ermon arXiv preprint arXiv:1903.08850, 2019 | 188 | 2019 |
| A functional perspective on learning symmetric functions with neural networks A Zweig, J Bruna International Conference on Machine Learning, 13023-13032, 2021 | 23 | 2021 |
| Prov2ONE: an algorithm for automatically constructing ProvONE provenance graphs A Prabhune, A Zweig, R Stotzka, M Gertz, J Hesser Provenance and Annotation of Data and Processes: 6th International …, 2016 | 15 | 2016 |
| Exponential separations in symmetric neural networks A Zweig, J Bruna Advances in Neural Information Processing Systems 35, 33134-33145, 2022 | 10 | 2022 |
| P-PIF: a ProvONE provenance interoperability framework for analyzing heterogeneous workflow specifications and provenance traces A Prabhune, A Zweig, R Stotzka, J Hesser, M Gertz Distributed and Parallel Databases 36, 219-264, 2018 | 8 | 2018 |
| On single index models beyond gaussian data J Bruna, L Pillaud-Vivien, A Zweig arXiv preprint arXiv:2307.15804, 2023 | 7 | 2023 |
| Symmetric single index learning A Zweig, J Bruna arXiv preprint arXiv:2310.02117, 2023 | 5 | 2023 |
| Towards antisymmetric neural ansatz separation A Zweig, J Bruna arXiv preprint arXiv:2208.03264, 2022 | 5 | 2022 |
| Neural algorithms for graph navigation A Zweig, N Ahmed, TL Willke, G Ma Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020 | 5 | 2020 |
| On single-index models beyond gaussian data A Zweig, L Pillaud-Vivien, J Bruna Advances in Neural Information Processing Systems 36, 10210-10222, 2023 | 3 | 2023 |
| Provably efficient third-person imitation from offline observation A Zweig, J Bruna Conference on Uncertainty in Artificial Intelligence, 1228-1237, 2020 | 1 | 2020 |
| Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations Z Lin, S Chang, A Zweig, E Azizi, DA Knowles arXiv preprint arXiv:2501.02409, 2025 | | 2025 |
| Theory of Symmetric Neural Networks A Zweig New York University, 2024 | | 2024 |