Alexander Tong | Alex Tong

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Time-Inhomogeneous Diffusion Geometry and Topology
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
A sandbox for prediction and integration of DNA, RNA, and protein data in single cells
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Data-Driven Learning of Geometric Scattering Networks
Multimodal data visualization and denoising with integrated diffusion
Diffusion Earth Mover's Distance and Distribution Embeddings
POT: Python Optimal Transport
Quantifying the effect of experimental perturbations in single-cell RNA-sequencing data using graph signal processing
Abstract 2839: Understanding the mesenchymal-to-epithelial transition and its drivers in triple-negative breast cancer with continuous normalizing flows
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance
Fast Diffusion Optimal Transport for Manifold-of-Manifold Embeddings
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
Scattering Priors for Graph Neural Networks
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
Data-Driven Learning of Geometric Scattering Networks
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Imputing Optimal Transport Barycenters of Patient Manifolds
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Interpolating Optimal Transport Barycenters of Patient Manifolds
Interpretable Neuron Structuring with Graph Spectral Regularization
Finding Archetypal Spaces Using Neural Networks
Modeling Cellular Dynamics with Continuous Normalizing Flows
Graph Spectral Regularization for Neural Network Interpretability
Allocate-On-Use Space Complexity of Shared-Memory Algorithms
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics