| 2025 | ICLR | SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. | Daniel Levy, Siba Smarak Panigrahi, Skou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh |
| 2024 | AISTATS | E(3)-Equivariant Mesh Neural Networks. | Thuan Anh Trang, Nhat Khang Ngo, Daniel Levy, Ngoc Thieu Vo, Siamak Ravanbakhsh, Truong Son Hy |
| 2023 | FUSION | Distributed Swarm Navigation with Factored Filters. | Samuel A. Shapero, Daniel Levy |
| 2021 | EMNLP | Distributionally Robust Multilingual Machine Translation. | Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig |
| 2018 | AAAI | Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces. | Daniel Levy, Stefano Ermon |
| 2018 | ICLR | Generalizing Hamiltonian Monte Carlo with Neural Networks. | Daniel Levy, Matthew D. Hoffman, Jascha Sohl-Dickstein |
| 2018 | UAI | Bayesian optimization and attribute adjustment. | Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon |
| 2017 | UAI | Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search. | Stephen Mussmann, Daniel Levy, Stefano Ermon |
| 2013 | ITiCSE | Dr. Horrible's fork bomb: a lab for introducing security issues in CS2. | Elizabeth Ann Patitsas, Daniel Levy |