Tianrong Chen

14 papers · 2020–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓

🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🤝 Dynamic Duo (12)

🧬 Topic Evolution 👑 Triple Crown 🧭 Keyword Pioneer 🗃️ Keyword Collector (69) 🔥 Unstoppable · Bronze 🚀 Conference Pioneer 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze

Venues

ICLR (5) NeurIPS (4) ICML (3) CVPR (1) L4DC (1)

Top co-authors

Evangelos Theodorou (12) Guan-Horng Liu (8) Jiatao Gu (3) Shuangfei Zhai (3) Molei Tao (3) Joshua M. Susskind (2) David Berthelot (2) Laurent Dinh (2) Miguel Angel Bautista (2) Josh Susskind (1)

Research topics

Machine Learning (11) Optimization & Theory (10) Deep Learning (9) Artificial Intelligence (6) Core AI (6) Models (6) Mathematics & Optimization (4) Optimization (4) Computer Vision (3) Reinforcement Learning (3) Generation (3) Methods (3) Application Areas (2) Architectures (2) Learning Types (2)

Keywords

forward-backward stochastic differential equation (4) generative modeling (3) optimal control (3) optimal transport (3) diffusion model (3) schrödinger bridge (3) image generation (2) differential dynamic programming (2) nash equilibrium (2) stochastic differential equation (2) normalizing flow (2) stochastic optimal control (2) stochastic control (1) constrained generation (1) neural network optimization (1) deep learning (1) video generation (1) stochastic process (1) likelihood estimation (1) approximate dynamic programming (1)

Papers

STARFlow-V: End-to-End Video Generative Modeling with Autoregressive Normalizing Flows CVPR 2026 Normalizing Flows are Capable Generative Models ICML 2025 Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups ICLR 2025 A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ICLR 2024 Generative Modeling with Phase Stochastic Bridge ICLR 2024 Deep Momentum Multi-Marginal Schrödinger Bridge NeurIPS 2023 Mirror Diffusion Models for Constrained and Watermarked Generation NeurIPS 2023 Deep Generalized Schrödinger Bridge NeurIPS 2022 Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory ICLR 2022 DDPNOpt: Differential Dynamic Programming Neural Optimizer ICLR 2021 Dynamic Game Theoretic Neural Optimizer ICML 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Second-Order Neural ODE Optimizer NeurIPS 2021 Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory L4DC 2020