Guan-Horng Liu

According to our database, Guan-Horng Liu authored at least 28 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control.

Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao

CoRR, August, 2025

Adjoint Schrödinger Bridge Sampler.

Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen

CoRR, June, 2025

Non-equilibrium Annealed Adjoint Sampler.

Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu

CoRR, June, 2025

Momentum Multi-Marginal Schrödinger Bridge Matching.

Panagiotis Theodoropoulos, Augustinos D. Saravanos, Evangelos A. Theodorou, Guan-Horng Liu

CoRR, June, 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, Guan-Horng Liu, Ricky T. Q. Chen

CoRR, April, 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

Feedback Schrödinger Bridge Matching.

Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos A. Theodorou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Large-Scale Optimization for Deep Neural Network Architecture: A Dynamical System Theory Perspective.

Guan-Horng Liu

PhD thesis, 2024

Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games.

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

CoRR, 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

A robust differential Neural ODE Optimizer.

Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Augustinos D. Saravanos, Evangelos A. Theodorou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generalized Schrödinger Bridge Matching.

Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Augmented Bridge Matching.

Valentin De Bortoli, Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Weilie Nie

CoRR, 2023

Improving Generative Model-based Unfolding with Schrödinger Bridges.

Sascha Diefenbacher, Guan-Horng Liu, Vinicius Mikuni, Benjamin Nachman, Weili Nie

CoRR, 2023

Mirror Diffusion Models for Constrained and Watermarked Generation.

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Momentum Multi-Marginal Schrödinger Bridge.

Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

I²SB: Image-to-Image Schrödinger Bridge.

Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar

Proceedings of the International Conference on Machine Learning, 2023

2022

Deep Generalized Schrödinger Bridge.

Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory.

Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Variational Inference MPC using Tsallis Divergence.

Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Second-Order Neural ODE Optimizer.

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Game Theoretic Neural Optimizer.

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

Proceedings of the 38th International Conference on Machine Learning, 2021

DDPNOpt: Differential Dynamic Programming Neural Optimizer.

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Differential Game Theoretic Neural Optimizer for Training Residual Networks.

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

CoRR, 2020

Differential Dynamic Programming Neural Optimizer.

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou

CoRR, 2020

2019

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective.

Guan-Horng Liu, Evangelos A. Theodorou

CoRR, 2019

2017

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation.

Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2013

Design of a kangaroo robot with dynamic jogging locomotion.

Guan-Horng Liu, Hou-Yi Lin, Huai-Yu Lin, Shao-Tuan Chen, Pei-Chun Lin

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013