Guillaume Huguet

30 papers A* 6A 2Misc 3Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data. CoRR Xingzhi Sun, João F. Rocha, Brett Phelan, Dhananjay Bhaskar, Guillaume Huguet, Yanlei Zhang, Daniel Sumner Magruder, Alexander Tong, Ke Xu, Oluwadamilola Fasina, Mark Gerstein, Guy Wolf, Natalia Ivanova, Christine L. Chaffer, Smita Krishnaswamy
2025	A	`conf`	Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. AISTATS Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2025	Misc	`conf`	ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. ICASSP Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy
2024	Misc	`conf`	Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CISS Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2024	J	`jnl`	Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. CoRR Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2024	J	`jnl`	ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. CoRR Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy
2024	J	`jnl`	Improving and generalizing flow-based generative models with minibatch optimal transport. Trans. Mach. Learn. Res. Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio
2024	A*	`conf`	SE(3)-Stochastic Flow Matching for Protein Backbone Generation. ICLR 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
2024	J	`jnl`	Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. CoRR 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
2024	A*	`conf`	Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation. NeurIPS 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
2024	A	`conf`	Simulation-Free Schrödinger Bridges via Score and Flow Matching. AISTATS Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2023	A*	`conf`	A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. NeurIPS Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. CoRR Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CoRR Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport. CoRR Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio
2023	—	`conf`	Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds. MLSP Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Christopher J. Tape, Guy Wolf, Smita Krishnaswamy
2023	J	`jnl`	Graph Fourier MMD for Signals on Graphs. CoRR Samuel Leone, Aarthi Venkat, Guillaume Huguet, Alexander Tong, Guy Wolf, Smita Krishnaswamy
2023	J	`jnl`	Neural FIM for learning Fisher Information Metrics from point cloud data. CoRR Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023	A*	`conf`	Neural FIM for learning Fisher information metrics from point cloud data. ICML Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	SE(3)-Stochastic Flow Matching for Protein Backbone Generation. CoRR Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong
2023	J	`jnl`	Simulation-free Schrödinger bridges via score and flow matching. CoRR Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2023	J	`jnl`	Time-Inhomogeneous Diffusion Geometry and Topology. SIAM J. Math. Data Sci. Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
2022	Misc	`conf`	Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance. ICASSP Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
2022	J	`jnl`	Geodesic Sinkhorn: optimal transport for high-dimensional datasets. CoRR Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Guy Wolf, Smita Krishnaswamy
2022	A*	`conf`	Manifold Interpolating Optimal-Transport Flows for Trajectory Inference. NeurIPS Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
2022	J	`jnl`	Manifold Interpolating Optimal-Transport Flows for Trajectory Inference. CoRR Guillaume Huguet, Daniel Sumner Magruder, Oluwadamilola Fasina, Alexander Tong, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
2022	J	`jnl`	Time-inhomogeneous diffusion geometry and topology. CoRR Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
2021	A*	`conf`	Diffusion Earth Mover's Distance and Distribution Embeddings. ICML Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2021	J	`jnl`	Diffusion Earth Mover's Distance and Distribution Embeddings. CoRR Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2021	J	`jnl`	Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance. CoRR Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy