Chen, Tianrong

17 publications

NeurIPS 2025 Flexible Language Modeling in Continuous Space with Transformer-Based Autoregressive Flows Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly
ICML 2025 Normalizing Flows Are Capable Generative Models Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
NeurIPS 2025 STARFlow: Scaling Latent Normalizing Flows for High-Resolution Image Synthesis Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Ángel Bautista, Joshua M. Susskind, Shuangfei Zhai
NeurIPS 2025 TADA: Improved Diffusion Sampling with Training-Free Augmented DynAmics Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Joshua M. Susskind, Shuangfei Zhai
ICLR 2025 Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos Theodorou, Molei Tao
ICLR 2024 A Robust Differential Neural Ode Optimizer Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Augustinos D Saravanos, Evangelos Theodorou
ICLR 2024 Generative Modeling with Phase Stochastic Bridge Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos Theodorou, Joshua M. Susskind, Shuangfei Zhai
NeurIPS 2023 Deep Momentum Multi-Marginal Schrödinger Bridge Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos Theodorou
ICMLW 2023 Game Theoretic Neural ODE Optimizer Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou
NeurIPS 2023 Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou, Molei Tao
NeurIPS 2022 Deep Generalized Schrödinger Bridge Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos Theodorou
ICLR 2022 Likelihood Training of Schrödinger Bridge Using Forward-Backward SDEs Theory Tianrong Chen, Guan-Horng Liu, Evangelos Theodorou
ICLR 2021 DDPNOpt: Differential Dynamic Programming Neural Optimizer Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou
ICML 2021 Dynamic Game Theoretic Neural Optimizer Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou
ICML 2021 Large-Scale Multi-Agent Deep FBSDEs Tianrong Chen, Ziyi O Wang, Ioannis Exarchos, Evangelos Theodorou
NeurIPS 2021 Second-Order Neural ODE Optimizer Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou
L4DC 2020 Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory Marcus Pereira, Ziyi Wang, Tianrong Chen, Emily Reed, Evangelos Theodorou