Liu, Guan-Horng

20 publications

ICML 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen

ICLRW 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen

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

ICLR 2025 Feedback Schrödinger Bridge Matching Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos Theodorou

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

NeurIPS 2025 Momentum Multi-Marginal Schrödinger Bridge Matching Panagiotis Theodoropoulos, Augustinos D Saravanos, Evangelos Theodorou, Guan-Horng Liu

NeurIPS 2025 Non-Equilibrium Annealed Adjoint Sampler Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu

ICLR 2024 A Robust Differential Neural Ode Optimizer Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Augustinos D Saravanos, Evangelos Theodorou

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

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

ICML 2023 I$^2$SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar

ICMLW 2023 Improved Sampling via Learned Diffusions Lorenz Richter, Julius Berner, Guan-Horng Liu

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

NeurIPS 2021 Second-Order Neural ODE Optimizer Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou

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