paper-conference

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Guillaume Huguet, Alex Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
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DynGFN: Bayesian Dynamic Causal Discovery Using Generative Flow Networks
One of the grand challenges of cell biology is inferring the gene regulatory network (GRN) which describes interactions between genes …
Lazar Atanackovic, Alex Tong, Jason Hartford, Leo J. Lee, Bo Wang, Yoshua Bengio
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DynGFN: Bayesian Dynamic Causal Discovery Using Generative Flow Networks
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds
Efficient computation of optimal transport distance between distributions is of growing importance in data science. Sinkhorn-based …
Guillaume Huguet, Alex Tong, María Ramos Zapatero, Christpher J. Tape, Guy Wolf, Smita Krishnaswamy
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Neural FIM for Learning Fisher Information Metrics from Point Cloud Data
Oluwadamilola Fasina, Guillaume Huguet, Alex Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
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Graph Fourier MMD for signals on data graphs
While numerous methods have been proposed for computing distances between probability distributions in Euclidean space, relatively …
Sam Leone, Alex Tong, Guillaume Huguet, Guy Wolf, Smita Krishnaswamy
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Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
We present a method called Manifold Interpolating Optimal-Transport Flow (MIOFlow) that learns stochastic, continuous population …
Guillaume Huguet, D. S. Magruder, Alex Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
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Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance
In modern relational machine learning it is common to encounter large graphs that arise via interactions or similarities between …
Alex Tong, Guillaume Huguet, Dennis Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
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MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
A unsupervised random tree distance for missing data in EHR
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Machael Shultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
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A sandbox for prediction and integration of DNA, RNA, and protein data in single cells
The last decade has witnessed a technological arms race to encode the molecular states of cells into DNA libraries, turning DNA …
Malte D Luecken, Daniel B Burkhardt, Robrecht Cannoodt, Christopher Lance, Aditi Agrawal, Hananeh Aliee, Ann T Chen, Louise Deconinck, Angela M Detweiler, Alejandro Granados, Shelly Huynh, Laura Isacco, Yang Joon Kim, Sunil Kuppasani, Heiko Lickert, Aaron McGeever, Honey Mekonen, Joaquin Caceres, Maurizio Morri, Michaela Mueller, Norma F Neff, Sheryl Paul, Kaylie Schneider, Scott Steelman, Michael Sterr, Dan J Treacy, Alex Tong, Alexandra-Chloé Villani, Guilin Wang, Jia Yan, Ce Zhang, Angela O Pisco, Smita Krishnaswamy, Fabian J Theis, Jonathan M Bloom
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Data-Driven Learning of Geometric Scattering Networks
A geometric scattering based network with learnable scale parameters
Alex Tong, Frederik Wenkel, Kincaid Macdonald, Smita Krishnaswamy, Guy Wolf
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Data-Driven Learning of Geometric Scattering Networks