| Likelihood Training of Schr\" odinger Bridge using Forward-Backward SDEs Theory T Chen, GH Liu, EA Theodorou International Conference on Learning Representation (ICLR2022), 2021 | 248 | 2021 |
| Deep Generalized Schr\" odinger Bridge GH Liu, T Chen, O So, EA Theodorou Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 100 | 2022 |
| Normalizing flows are capable generative models S Zhai, R Zhang, P Nakkiran, D Berthelot, J Gu, H Zheng, T Chen, ... arXiv preprint arXiv:2412.06329, 2024 | 52 | 2024 |
| Mirror diffusion models for constrained and watermarked generation GH Liu, T Chen, E Theodorou, M Tao Advances in Neural Information Processing Systems (NeurIPS2023) 36, 2024 | 45 | 2024 |
| Deep multi-marginal momentum Schrödinger bridge T Chen, G Liu, M Tao, EA Theodorou Proceedings of the 37th International Conference on Neural Information …, 2023 | 34* | 2023 |
| Second-Order Neural ODE Optimizer GH Liu, T Chen, E Theodorou Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 2021 | 27 | 2021 |
| Optimal transport for generating transition states in chemical reactions C Duan, GH Liu, Y Du, T Chen, Q Zhao, H Jia, CP Gomes, EA Theodorou, ... Nature Machine Intelligence 7 (4), 615-626, 2025 | 25 | 2025 |
| Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory M Pereira, Z Wang, T Chen, E Reed, E Theodorou Learning for Dynamics and Control (L4DC 2020), 728-738, 2020 | 21 | 2020 |
| Generative Modeling with Phase Stochastic Bridges T Chen, J Gu, L Dinh, EA Theodorou, J Susskind, S Zhai International Conference on Learning Representation (ICLR2024), 2023 | 19 | 2023 |
| DDPNOpt: Differential Dynamic Programming Neural Optimizer GH Liu, T Chen, EA Theodorou International Conference on Learning Representation (ICLR2021), 2020 | 17* | 2020 |
| Trivialized momentum facilitates diffusion generative modeling on lie groups Y Zhu, T Chen, L Kong, EA Theodorou, M Tao arXiv preprint arXiv:2405.16381, 2024 | 16 | 2024 |
| Augmented bridge matching V De Bortoli, GH Liu, T Chen, EA Theodorou, W Nie arXiv preprint arXiv:2311.06978, 2023 | 16 | 2023 |
| STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis J Gu, T Chen, D Berthelot, H Zheng, Y Wang, R Zhang, L Dinh, ... arXiv preprint arXiv:2506.06276, 2025 | 14 | 2025 |
| Dynamic Game Theoretic Neural Optimizer GH Liu, T Chen, EA Theodorou International Conference on Machine Learning (ICML 2021), 2021 | 11* | 2021 |
| Quantum state generation with structure-preserving diffusion model Y Zhu, T Chen, EA Theodorou, X Chen, M Tao arXiv preprint arXiv:2404.06336, 2024 | 10 | 2024 |
| Large-Scale Multi-Agent Deep FBSDEs T Chen, ZO Wang, I Exarchos, E Theodorou International Conference on Machine Learning (ICML 2021), 1740-1748, 2021 | 8* | 2021 |
| Continuously augmented discrete diffusion model for categorical generative modeling H Zheng, S Gong, R Zhang, T Chen, J Gu, M Zhou, N Jaitly, Y Zhang arXiv preprint arXiv:2510.01329, 2025 | 5 | 2025 |
| React-OT: Optimal transport for generating transition state in chemical reactions C Duan, GH Liu, Y Du, T Chen, Q Zhao, H Jia, CP Gomes, EA Theodorou, ... arXiv preprint arXiv:2404.13430, 2024 | 5 | 2024 |
| Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control T Chen, Z Wang, EA Theodorou 61th IEEE Conference on Decision and Control (CDC 2022), 2022 | 5 | 2022 |
| STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows J Gu, Y Shen, T Chen, L Dinh, Y Wang, MA Bautista, D Berthelot, ... arXiv preprint arXiv:2511.20462, 2025 | 3 | 2025 |
Evangelos TheodorouGeorgia Institute of Technology & Amazon SEASVerified email at ae.gatech.edu
