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07/07/2023
Simulation-free Schrödinger bridges via score and flow matching
We present simulation-free score and flow matching ([SF]^2M), a simulati...
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06/05/2023
Graph Fourier MMD for Signals on Graphs
While numerous methods have been proposed for computing distances betwee...
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05/30/2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Diffusion-based manifold learning methods have proven useful in represen...
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02/08/2023
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
Learning the causal structure of observable variables is a central focus...
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02/01/2023
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport
Continuous normalizing flows (CNFs) are an attractive generative modelin...
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11/02/2022
Geodesic Sinkhorn: optimal transport for high-dimensional datasets
Understanding the dynamics and reactions of cells from population snapsh...
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08/15/2022
Learnable Filters for Geometric Scattering Modules
We propose a new graph neural network (GNN) module, based on relaxations...
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06/29/2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
Here, we present a method called Manifold Interpolating Optimal-Transpor...
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03/28/2022
Time-inhomogeneous diffusion geometry and topology
Diffusion condensation is a dynamic process that yields a sequence of mu...
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11/19/2021
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
A major challenge in embedding or visualizing clinical patient data is t...
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07/26/2021
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance
In modern relational machine learning it is common to encounter large gr...
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02/25/2021
Diffusion Earth Mover's Distance and Distribution Embeddings
We propose a new fast method of measuring distances between large number...
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10/06/2020
Data-Driven Learning of Geometric Scattering Networks
Graph neural networks (GNNs) in general, and graph convolutional network...
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06/12/2020
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
Biomolecular graph analysis has recently gained much attention in the em...
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02/09/2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
It is increasingly common to encounter data from dynamic processes captu...
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05/26/2019
A Lipschitz-constrained anomaly discriminator framework
Anomaly detection is a problem of great interest in medicine, finance, a...
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09/30/2018
