Guan-Horng Liu

According to our database, Guan-Horng Liu authored at least 18 papers between 2013 and 2023.

Collaborative distances:

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

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

CoRR, 2023

Improving Generative Model-based Unfolding with Schrödinger Bridges.

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

CoRR, 2023

Improved sampling via learned diffusions.

Lorenz Richter, Julius Berner, Guan-Horng Liu

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