Design of a kangaroo robot with dynamic jogging locomotion. - Guan-Horng Liu; Hou-Yi Lin; Huai-Yu Lin; Shao-Tuan Chen; Pei-Chun Lin (SII, 2013)

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. - Guan-Horng Liu; Avinash Siravuru; Sai P. Selvaraj; Manuela M. Veloso; George Kantor (CoRL, 2017)

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective. - Guan-Horng Liu; Evangelos A. Theodorou (CoRR, 2019)

Differential Dynamic Programming Neural Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (CoRR, 2020)

A Differential Game Theoretic Neural Optimizer for Training Residual Networks. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (CoRR, 2020)

DDPNOpt: Differential Dynamic Programming Neural Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (ICLR, 2021)

Dynamic Game Theoretic Neural Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (ICML, 2021)

Second-Order Neural ODE Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (NeurIPS, 2021)

Variational Inference MPC using Tsallis Divergence. - Ziyi Wang 001; Oswin So; Jason Gibson; Bogdan I. Vlahov; Manan Gandhi; Guan-Horng Liu; Evangelos A. Theodorou (Robotics: Science and Systems, 2021)

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory. - Tianrong Chen; Guan-Horng Liu; Evangelos A. Theodorou (ICLR, 2022)

Deep Generalized Schrödinger Bridge. - Guan-Horng Liu; Tianrong Chen; Oswin So; Evangelos A. Theodorou (NeurIPS, 2022)

I2SB: Image-to-Image Schrödinger Bridge. - Guan-Horng Liu; Arash Vahdat; De-An Huang; Evangelos A. Theodorou; Weili Nie; Anima Anandkumar (ICML, 2023)

Deep Momentum Multi-Marginal Schrödinger Bridge. - Tianrong Chen; Guan-Horng Liu; Molei Tao; Evangelos A. Theodorou (NeurIPS, 2023)

Mirror Diffusion Models for Constrained and Watermarked Generation. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou; Molei Tao (NeurIPS, 2023)

Improving Generative Model-based Unfolding with Schrödinger Bridges. - Sascha Diefenbacher; Guan-Horng Liu; Vinicius Mikuni; Benjamin Nachman; Weili Nie (CoRR, 2023)

Augmented Bridge Matching. - Valentin De Bortoli; Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou; Weilie Nie (CoRR, 2023)

Generalized Schrödinger Bridge Matching. - Guan-Horng Liu; Yaron Lipman; Maximilian Nickel; Brian Karrer; Evangelos A. Theodorou; Ricky T. Q. Chen (ICLR, 2024)

A robust differential Neural ODE Optimizer. - Panagiotis Theodoropoulos; Guan-Horng Liu; Tianrong Chen; Augustinos D. Saravanos; Evangelos A. Theodorou (ICLR, 2024)

React-OT: Optimal Transport for Generating Transition State in Chemical Reactions. - Chenru Duan; Guan-Horng Liu; Yuanqi Du; Tianrong Chen; Qiyuan Zhao; Haojun Jia; Carla P. Gomes; Evangelos A. Theodorou; Heather J. Kulik (CoRR, 2024)

Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (CoRR, 2024)

Large-Scale Optimization for Deep Neural Network Architecture: A Dynamical System Theory Perspective. - Guan-Horng Liu (2024)

Feedback Schrödinger Bridge Matching. - Panagiotis Theodoropoulos; Nikolaos Komianos; Vincent Pacelli; Guan-Horng Liu; Evangelos A. Theodorou (ICLR, 2025)

Optimal transport for generating transition states in chemical reactions. - Chenru Duan; Guan-Horng Liu; Yuanqi Du; Tianrong Chen; Qiyuan Zhao; Haojun Jia; Carla P. Gomes; Evangelos A. Theodorou; Heather J. Kulik (Nat. Mac. Intell., 2025)

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. - Aaron J. Havens; Benjamin Kurt Miller; Bing Yan; Carles Domingo-Enrich; Anuroop Sriram; Brandon M. Wood; Daniel Levine; Bin Hu; Brandon Amos; Brian Karrer; Xiang Fu 005; Guan-Horng Liu; et al. (CoRR, 2025)

Momentum Multi-Marginal Schrödinger Bridge Matching. - Panagiotis Theodoropoulos; Augustinos D. Saravanos; Evangelos A. Theodorou; Guan-Horng Liu (CoRR, 2025)

Non-equilibrium Annealed Adjoint Sampler. - Jaemoo Choi; Yongxin Chen; Molei Tao; Guan-Horng Liu (CoRR, 2025)

Adjoint Schrödinger Bridge Sampler. - Guan-Horng Liu; Jaemoo Choi; Yongxin Chen; Benjamin Kurt Miller; Ricky T. Q. Chen (CoRR, 2025)

MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control. - Yuchen Zhu; Wei Guo; Jaemoo Choi; Guan-Horng Liu; Yongxin Chen; Molei Tao (CoRR, 2025)