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Alexander Tong

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
Quantifying the effect of experimental perturbations in single-cell RNA-sequencing data using graph signal processing
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
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

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