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01/31/2023
Continuous Spatiotemporal Transformers
Modeling spatiotemporal dynamical systems is a fundamental challenge in ...
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10/17/2022
AMPNet: Attention as Message Passing for Graph Neural Networks
Feature-level interactions between nodes can carry crucial information f...
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09/30/2022
Neural Integral Equations
Integral equations (IEs) are functional equations defined through integr...
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06/28/2022
Neural Integro-Differential Equations
Modeling continuous dynamical systems from discretely sampled observatio...
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10/12/2020
Permutation invariant networks to learn Wasserstein metrics
Understanding the space of probability measures on a metric space equipp...
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06/23/2020
Learning Potentials of Quantum Systems using Deep Neural Networks
Machine Learning has wide applications in a broad range of subjects, inc...
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06/23/2020
Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks
Graph Neural Networks (GNN) have been extensively used to extract meanin...
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06/20/2020
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy
Word translation is an integral part of language translation. In machine...
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02/14/2020
Disease State Prediction From Single-Cell Data Using Graph Attention Networks
Single-cell RNA sequencing (scRNA-seq) has revolutionized biological dis...
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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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07/10/2019
Coarse Graining of Data via Inhomogeneous Diffusion Condensation
Big data often has emergent structure that exists at multiple levels of ...
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01/31/2019
Compressed Diffusion
Diffusion maps are a commonly used kernel-based method for manifold lear...
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01/25/2019
Finding Archetypal Spaces for Data Using Neural Networks
Archetypal analysis is a type of factor analysis where data is fit by a ...
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09/30/2018
Graph Spectral Regularization for Neural Network Interpretability
Deep neural networks can learn meaningful representations of data. Howev...
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02/10/2018