Guan-Horng Liu
Machine Learning PhD @ Georgia Tech 🚀

Hi, I am Guan-Horng Liu (I go by "Guan" ), a fourth-year Machine Learning PhD in Georgia Tech advised by Evangelos A. Theodorou. I also work closely with Molei Tao from Georgia Tech and Valentin De Bortoli from CNRS.
My research concerns scalable computational methods for neural dynamics, including Neural ODEs, Neural SDEs (e.g., diffusion models), DNNs (as discrete-time systems), their mean-field extensions, and etc. These neural dynamics pose interesting numerical challenges to traditional computational methods. In return, studies from dynamic and control standpoints have inspired new machine learning pipelines in principled algorithmic design and development of theoretical insights grounded on optimal control, stochastic processes, game theory, dynamic optimal transport, and statistical physics. This new line of research has received spotlight/oral presentations in ICLR’21, ICML’21, NeurIPS’21, and NeurIPS’22.
I am fortunate to work in Nvidia Research during 2022 Summer, developing nonlinear diffusion models with Weili Nie, Arash Vahdat, De-An Huang, and Anima Anandkumar. See my full CV here (updated in April 2023).
Contact:
ghliu [at] gatech [dot] edu
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Updates
[07/2023] Two papers accepted to ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems. |
[04/2023] One paper, Image-to-Image Schrödinger Bridge, accepts to ICML. |
[03/2023] I co-organize the ICML workshop on New Frontiers in Learning, Control, and Dynamical Systems. |
[12/2022] I give an invited talks, Generalized Schrödinger Bridge, at NeurIPS Score-based Methods Workshop. |
[11/2022] I give two invited talks, Generalized Schrödinger Bridge, at IBM Research and Alan Turing Institute. |
[10/2022] I give a guest lecture at AE4803 Robotic Systems and Autonomy. |
[09/2022] One paper, Deep Generalized Schrödinger Bridge, accepts to NeurIPS (Oral 1.9%). |
[06/2022] I have joined Nvidia Research for an internship this summer. |
[02/2022] One paper, Likelihood training of Schrödinger Bridge, accepts to ICLR. |
[01/2022] I receive GaTech AE Graduate Fellowship. Thanks GaTech AE! |
[12/2021] I give a talk, Higher-order Optimization of Neural ODE, at DataSig, Alan Turing Institute. |
[10/2021] I give a talk, Optimal Control Neural Optimizer, at GaTech ML PhD Seminar. |
[09/2021] One paper, Second-order Neural ODE Opt, accepts to NeurIPS (Spotlight 3.0%). |
[05/2021] One paper, Dynamic Game NOpt, accepts to ICML (Oral 3.0%). |
[01/2021] One paper, DDP Neural Optimizer, accepts to ICLR (Spotlight 3.8%). |
Publications
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Game Theoretic Neural ODE OptimizerICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023
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Improved Sampling via Learned DiffusionsICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023
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Second-order Neural ODE OptimizerAdvances in Neural Information Processing Systems (NeurIPS), 2021Spotlight presentation (acceptance rate 3.0%)
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Dynamic Game Theoretic Neural OptimizerInternational Conference on Machine Learning (ICML), 2021Oral presentation (acceptance rate 3.0%)
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DDPNOpt: Differential Dynamic Programming Neural OptimizerInternational Conference on Learning Representations (ICLR), 2021Spotlight presentation (acceptance rate 3.8%)
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Spatio-Temporal Differential Dynamic Programming for Control of Fieldspreprint (in submission), 2021
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Learning end-to-end multimodal sensor policies for autonomous navigationConference on Robot Learning (CoRL), 2017
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High Dimensional Planning and Learning for Off-Road DrivingCMU Robotics Institute Master Thesis, 2017
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Multi-modal Deep Reinforcement Learning with a Novel Sensor-based DropoutMulti-disciplinary Conference on Reinforcement Learning and Decision Making (MRLD), 2017
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A bio-inspired hopping kangaroo robot with an active tailJournal of Bionic Engineering (JBE), 2014
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Autonomous Control of the WAM-V Catamaran Type Unmanned Surface Vehicle: Propulsion System DesignAnnual Conference of the Robotics Society of Japan, 2014
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Design of a kangaroo robot with dynamic jogging locomotionProceedings of the 2013 IEEE/SICE International Symposium on System Integration (SII), 2013Best Paper Award