Guillaume Huguet

PhD student, University of Montreal

Joined

May 2021

Names

Guillaume Huguet (Preferred)

Emails

****@mila.quebec (Confirmed)

****@umontreal.ca (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

University of Montreal (umontreal.ca)

2020 – Present

MS student

University of Montreal (umontreal.ca)

2018 – 2020

Undergrad student

University of Montreal (umontreal.ca)

2015 – 2018

Undergrad student

Concordia University, Montreal (concordia.ca)

2014 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Guy Wolf

2020 – Present

Coauthor

Smita Krishnaswamy

2020 – Present

Expertise

Manifold Learning

Present

Optimal Transport

Present

Publications

Geometry-Aware Generative Autoencoders for warped Riemannian metric learning and generative modeling on Data Manifolds
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
- AISTATS 2025
- Readers: Everyone
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
Chen Liu, Ke Xu, Liangbo Linus Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay M. Stewart, Jay C Wang, Lucian Del Priore, Smita Krishnaswamy
- ICASSP 2025 Oral
- Readers: Everyone
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
- AISTATS 2025 Poster
- Readers: Everyone
Geometry-Aware Autoencoders for Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
- ICML 2024 Workshop GRaM
- Readers: Everyone
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
Guillaume Huguet, James Vuckovic, Kilian FATRAS, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Joey Bose
- NeurIPS 2024 poster
- Readers: Everyone
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Danqi Liao, Chen Liu, Benjamin W Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
- ICML 2023 Workshop
- Readers: Everyone
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong, Kilian FATRAS, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio
- Accepted by TMLR
- Readers: Everyone
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian FATRAS, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong
- ICLR 2024 spotlight
- Readers: Everyone
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
- TAGML2023 Poster
- Readers: Everyone
Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport
Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian FATRAS, Guy Wolf, Yoshua Bengio
- Frontiers4LCD
- Readers: Everyone

View all 25 publications

Co-Authors

View all 49 co-authors