Guillaume Huguet

According to our database, Guillaume Huguet authored at least 18 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

Trans. Mach. Learn. Res., 2024

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

CoRR, 2024

ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images.

Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy

CoRR, 2024

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone 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, Avishek Joey Bose

CoRR, 2024

SE(3)-Stochastic Flow Matching for Protein Backbone Generation.

Avishek 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Simulation-Free Schrödinger Bridges via Score and Flow Matching.

Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Time-Inhomogeneous Diffusion Geometry and Topology.

Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy

SIAM J. Math. Data Sci., June, 2023

Graph Fourier MMD for Signals on Graphs.

Samuel Leone, Aarthi Venkat, Guillaume Huguet, Alexander Tong, Guy Wolf, Smita Krishnaswamy

CoRR, 2023

Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport.

Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio

CoRR, 2023

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction.

Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy

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

Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds.

Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Christopher J. Tape, Guy Wolf, Smita Krishnaswamy

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Neural FIM for learning Fisher information metrics from point cloud data.

Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy

Proceedings of the International Conference on Machine Learning, 2023

2022

Geodesic Sinkhorn: optimal transport for high-dimensional datasets.

Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Guy Wolf, Smita Krishnaswamy

CoRR, 2022

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference.

Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy

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

Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance.

Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.

Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy

CoRR, 2021

Diffusion Earth Mover's Distance and Distribution Embeddings.

Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy

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