ML Anthology
Authors
Search
About
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