Guan-Horng Liu

46 papers A* 12Misc 1Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discrete Adjoint Matching. CoRR Oswin So, Brian Karrer, Chuchu Fan, Ricky T. Q. Chen, Guan-Horng Liu
2026	J	`jnl`	Discrete Adjoint Schrödinger Bridge Sampler. CoRR Wei Guo, Yuchen Zhu, Xiaochen Du, Juno Nam, Yongxin Chen, Rafael Gómez-Bombarelli, Guan-Horng Liu, Molei Tao, Jaemoo Choi
2026	J	`jnl`	Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming. IEEE Trans. Pattern Anal. Mach. Intell. Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2025	A*	`conf`	Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. ICML 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
2025	J	`jnl`	Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. CoRR 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, Guan-Horng Liu, Ricky T. Q. Chen
2025	J	`jnl`	Adjoint Schrödinger Bridge Sampler. CoRR Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen
2025	J	`jnl`	Enhancing Diffusion-Based Sampling with Molecular Collective Variables. CoRR Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gómez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller
2025	A*	`conf`	Feedback Schrödinger Bridge Matching. ICLR Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos A. Theodorou
2025	J	`jnl`	Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces. CoRR Byoungwoo Park, Juho Lee, Guan-Horng Liu
2025	J	`jnl`	MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control. CoRR Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao
2025	J	`jnl`	Momentum Multi-Marginal Schrödinger Bridge Matching. CoRR Panagiotis Theodoropoulos, Augustinos D. Saravanos, Evangelos A. Theodorou, Guan-Horng Liu
2025	J	`jnl`	Non-equilibrium Annealed Adjoint Sampler. CoRR Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu
2025	J	`jnl`	Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming. CoRR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2025	J	`jnl`	Optimal transport for generating transition states in chemical reactions. Nat. Mac. Intell. Chenru Duan, Guan-Horng Liu, Yuanqi Du, Tianrong Chen, Qiyuan Zhao, Haojun Jia, Carla P. Gomes, Evangelos A. Theodorou, Heather J. Kulik
2024	A*	`conf`	A robust differential Neural ODE Optimizer. ICLR Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Augustinos D. Saravanos, Evangelos A. Theodorou
2024	J	`jnl`	Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games. CoRR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2024	J	`jnl`	Feedback Schrödinger Bridge Matching. CoRR Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos A. Theodorou
2024	A*	`conf`	Generalized Schrödinger Bridge Matching. ICLR Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
2024	—	`—`	Large-Scale Optimization for Deep Neural Network Architecture: A Dynamical System Theory Perspective. Guan-Horng Liu
2024	J	`jnl`	React-OT: Optimal Transport for Generating Transition State in Chemical Reactions. CoRR Chenru Duan, Guan-Horng Liu, Yuanqi Du, Tianrong Chen, Qiyuan Zhao, Haojun Jia, Carla P. Gomes, Evangelos A. Theodorou, Heather J. Kulik
2023	J	`jnl`	Augmented Bridge Matching. CoRR Valentin De Bortoli, Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Weilie Nie
2023	A*	`conf`	Deep Momentum Multi-Marginal Schrödinger Bridge. NeurIPS Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou
2023	J	`jnl`	Deep Momentum Multi-Marginal Schrödinger Bridge. CoRR Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou
2023	J	`jnl`	Generalized Schrödinger Bridge Matching. CoRR Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
2023	A*	`conf`	I ICML Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar
2023	J	`jnl`	I CoRR Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar
2023	J	`jnl`	Improving Generative Model-based Unfolding with Schrödinger Bridges. CoRR Sascha Diefenbacher, Guan-Horng Liu, Vinicius Mikuni, Benjamin Nachman, Weili Nie
2023	A*	`conf`	Mirror Diffusion Models for Constrained and Watermarked Generation. NeurIPS Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao
2023	J	`jnl`	Mirror Diffusion Models for Constrained and Watermarked Generation. CoRR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao
2022	A*	`conf`	Deep Generalized Schrödinger Bridge. NeurIPS Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou
2022	J	`jnl`	Deep Generalized Schrödinger Bridge. CoRR Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou
2022	A*	`conf`	Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory. ICLR Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou
2021	A*	`conf`	DDPNOpt: Differential Dynamic Programming Neural Optimizer. ICLR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2021	A*	`conf`	Dynamic Game Theoretic Neural Optimizer. ICML Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2021	J	`jnl`	Dynamic Game Theoretic Neural Optimizer. CoRR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2021	J	`jnl`	Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory. CoRR Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou
2021	A*	`conf`	Second-Order Neural ODE Optimizer. NeurIPS Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2021	J	`jnl`	Second-Order Neural ODE Optimizer. CoRR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2021	—	`conf`	Variational Inference MPC using Tsallis Divergence. Robotics: Science and Systems Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou
2021	J	`jnl`	Variational Inference MPC using Tsallis Divergence. CoRR Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou
2020	J	`jnl`	A Differential Game Theoretic Neural Optimizer for Training Residual Networks. CoRR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2020	J	`jnl`	Differential Dynamic Programming Neural Optimizer. CoRR Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
2019	J	`jnl`	Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective. CoRR Guan-Horng Liu, Evangelos A. Theodorou
2017	Misc	`conf`	Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRL Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor
2017	J	`jnl`	Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRR Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor
2013	—	`conf`	Design of a kangaroo robot with dynamic jogging locomotion. SII Guan-Horng Liu, Hou-Yi Lin, Huai-Yu Lin, Shao-Tuan Chen, Pei-Chun Lin