Alexander Tong

Work

AITHYRA GmbH- Research Institute for Biomedical Artificial Intelligence (Austria)
|

Principal Investigator

Austria

→

Duke University

US

→

Mila - Quebec Artificial Intelligence Institute

Canada

→

Education

Yale University
United States of America

→

Phd

Tufts University
United States of America

→

BS and MS

Publications

Learnable Filters for Geometric Scattering Modules

Published by

IEEE Transactions on Signal Processing

Summary

journal-article

Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses

Published by

Cell

Summary

journal-article

Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses

Published by

Cell

Summary

journal-article

Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses

Published by

Cell

Summary

journal-article

Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses

Published by

Cell

Summary

journal-article

Time-Inhomogeneous Diffusion Geometry and Topology

Published by

SIAM Journal on Mathematics of Data Science

Summary

journal-article

Single-cell analysis reveals inflammatory interactions driving macular degeneration

Published by

Nature Communications

Summary

journal-article

Single-cell analysis reveals inflammatory interactions driving macular degeneration

Published by

Nature Communications

Summary

journal-article

Single-cell analysis reveals inflammatory interactions driving macular degeneration

Published by

Nature Communications

Summary

journal-article

Single-cell analysis reveals inflammatory interactions driving macular degeneration

Published by

Nature Communications

Summary

journal-article

Simulation-Free Schrödinger Bridges via Score and Flow Matching

Published by

arXiv

Summary

other

Revealing dynamic temporal trajectories and underlying regulatory networks with Cflows

Summary

preprint

Neural FIM for learning Fisher information metrics from point cloud data

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

SE(3) STOCHASTIC FLOW MATCHING FOR PROTEIN BACKBONE GENERATION

Published by

arXiv

Summary

other

SE(3) STOCHASTIC FLOW MATCHING FOR PROTEIN BACKBONE GENERATION

Published by

arXiv

Summary

other

SE(3) STOCHASTIC FLOW MATCHING FOR PROTEIN BACKBONE GENERATION

Published by

arXiv

Summary

other

SE(3) STOCHASTIC FLOW MATCHING FOR PROTEIN BACKBONE GENERATION

Published by

arXiv

Summary

other

Simulation-Free Schrödinger Bridges via Score and Flow Matching

Published by

arXiv

Summary

other

Simulation-Free Schrödinger Bridges via Score and Flow Matching

Published by

arXiv

Summary

other

Simulation-Free Schrödinger Bridges via Score and Flow Matching

Published by

arXiv

Summary

other

Single-cell analysis reveals inflammatory interactions driving macular degeneration

Published by

Nature Communications

Summary

journal-article

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Published by

arXiv

Summary

other

Neural FIM for learning Fisher information metrics from point cloud data

Published by

arXiv

Summary

other

Neural FIM for learning Fisher information metrics from point cloud data

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Neural FIM for learning Fisher information metrics from point cloud data

Published by

arXiv

Summary

other

Neural FIM for learning Fisher information metrics from point cloud data

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Learning transcriptional and regulatory dynamics driving cancer cell plasticity using neural ODE-based optimal transport

Published by

bioRxiv

Summary

other

Learning transcriptional and regulatory dynamics driving cancer cell plasticity using neural ODE-based optimal transport

Published by

bioRxiv

Summary

other

A COMPUTATIONAL FRAMEWORK FOR SOLVING WASSERSTEIN LAGRANGIAN FLOWS

Published by

arXiv

Summary

other

A COMPUTATIONAL FRAMEWORK FOR SOLVING WASSERSTEIN LAGRANGIAN FLOWS

Published by

arXiv

Summary

other

A COMPUTATIONAL FRAMEWORK FOR SOLVING WASSERSTEIN LAGRANGIAN FLOWS

Published by

arXiv

Summary

other

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

Published by

arXiv

Summary

other

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

Published by

arXiv

Summary

other

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

Published by

arXiv

Summary

other

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

Published by

arXiv

Summary

other

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Published by

arXiv

Summary

other

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Published by

arXiv

Summary

other

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Published by

arXiv

Summary

other

A COMPUTATIONAL FRAMEWORK FOR SOLVING WASSERSTEIN LAGRANGIAN FLOWS

Published by

arXiv

Summary

other

Learning transcriptional and regulatory dynamics driving cancer cell plasticity using neural ODE-based optimal transport

Published by

bioRxiv

Summary

other

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Published by

arXiv

Summary

other

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems

Published by

arXiv

Summary

other

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems

Published by

arXiv

Summary

other

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems

Published by

arXiv

Summary

other

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems

Published by

arXiv

Summary

other

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Published by

arXiv

Summary

other

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Published by

arXiv

Summary

other

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Published by

arXiv

Summary

other

Graph Fourier MMD for Signals on Graphs

Published by

arXiv

Summary

other

Graph Fourier MMD for Signals on Graphs

Published by

arXiv

Summary

other

Graph Fourier MMD for Signals on Graphs

Published by

2023 International Conference on Sampling Theory and Applications, SampTA 2023

Summary

conference-paper

Graph Fourier MMD for Signals on Graphs

Published by

2023 International Conference on Sampling Theory and Applications, SampTA 2023

Summary

conference-paper

Graph Fourier MMD for Signals on Graphs

Published by

arXiv

Summary

other

Graph Fourier MMD for Signals on Graphs

Published by

arXiv

Summary

other

Graph Fourier MMD for Signals on Graphs

Published by

2023 International Conference on Sampling Theory and Applications, SampTA 2023

Summary

conference-paper

Graph Fourier MMD for Signals on Graphs

Published by

2023 International Conference on Sampling Theory and Applications, SampTA 2023

Summary

conference-paper

Graph Fourier MMD for Signals on Graphs

Published by

2023 International Conference on Sampling Theory and Applications, SampTA 2023

Summary

conference-paper

Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport

Published by

arXiv

Summary

other

Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport

Published by

arXiv

Summary

other

Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport

Published by

arXiv

Summary

other

Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport

Published by

arXiv

Summary

other

Neural FIM for learning Fisher information metrics from point cloud data

Published by

arXiv

Summary

other

Neural FIM for learning Fisher information metrics from point cloud data

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Neural FIM for learning Fisher information metrics from point cloud data

Published by

arXiv

Summary

other

Neural FIM for learning Fisher information metrics from point cloud data

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Summary

conference-paper

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Summary

conference-paper

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Summary

conference-paper

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Summary

conference-paper

Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators

Published by

Journal of Signal Processing Systems

Summary

journal-article

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

Advances in Neural Information Processing Systems

Summary

conference-paper

Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators

Published by

Journal of Signal Processing Systems

Summary

journal-article

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

arXiv

Summary

other

Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators

Published by

Journal of Signal Processing Systems

Summary

journal-article

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

Advances in Neural Information Processing Systems

Summary

conference-paper

Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators

Published by

Journal of Signal Processing Systems

Summary

journal-article

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

arXiv

Summary

other

Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators

Published by

Journal of Signal Processing Systems

Summary

journal-article

Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds

Published by

arXiv

Summary

other

Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds

Published by

arXiv

Summary

other

Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds

Published by

arXiv

Summary

other

Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds

Published by

arXiv

Summary

other

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

arXiv

Summary

other

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

Advances in Neural Information Processing Systems

Summary

conference-paper

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

Advances in Neural Information Processing Systems

Summary

conference-paper

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

arXiv

Summary

other

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Published by

Advances in Neural Information Processing Systems

Summary

conference-paper

Multiscale PHATE identifies multimodal signatures of COVID-19

Published by

Nature Biotechnology

Summary

journal-article

Multiscale PHATE identifies multimodal signatures of COVID-19

Published by

Nature Biotechnology

Summary

journal-article

Multiscale PHATE identifies multimodal signatures of COVID-19

Published by

Nature Biotechnology

Summary

journal-article

Multiscale PHATE identifies multimodal signatures of COVID-19

Published by

Nature Biotechnology

Summary

journal-article

Multiscale PHATE identifies multimodal signatures of COVID-19

Published by

Nature Biotechnology

Summary

journal-article

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Summary

conference-paper

Learnable Filters for Geometric Scattering Modules

Published by

arXiv

Summary

other

Learnable Filters for Geometric Scattering Modules

Published by

arXiv

Summary

other

Learnable Filters for Geometric Scattering Modules

Published by

arXiv

Summary

other

Learnable Filters for Geometric Scattering Modules

Published by

arXiv

Summary

other

Learnable Filters for Geometric Scattering Modules

Published by

arXiv

Summary

other

Time-inhomogeneous diffusion geometry and topology

Published by

arXiv

Summary

other

Time-inhomogeneous diffusion geometry and topology

Published by

arXiv

Summary

other

Time-inhomogeneous diffusion geometry and topology

Published by

arXiv

Summary

other

Time-inhomogeneous diffusion geometry and topology

Published by

arXiv

Summary

other

Time-inhomogeneous diffusion geometry and topology

Published by

arXiv

Summary

other

Trellis Single-Cell Screening Reveals Stromal Regulation of Patient-Derived Organoid Drug Responses

Summary

preprint

Trellis Single-Cell Screening Reveals Stromal Regulation of Patient-Derived Organoid Drug Responses

Published by

bioRxiv

Summary

other

Trellis Single-Cell Screening Reveals Stromal Regulation of Patient-Derived Organoid Drug Responses

Published by

bioRxiv

Summary

other

Trellis Single-Cell Screening Reveals Stromal Regulation of Patient-Derived Organoid Drug Responses

Published by

bioRxiv

Summary

other

Trellis Single-Cell Screening Reveals Stromal Regulation of Patient-Derived Organoid Drug Responses

Published by

bioRxiv

Summary

other

Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor–induced diabetes

Published by

JCI Insight

Summary

journal-article

Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor–induced diabetes

Published by

JCI Insight

Summary

journal-article

Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor–induced diabetes

Published by

JCI Insight

Summary

journal-article

Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor–induced diabetes

Published by

JCI Insight

Summary

journal-article

Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor–induced diabetes

Published by

JCI Insight

Summary

journal-article

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

Research Square

Summary

other

Quantifying the effect of experimental perturbations at single-cell resolution

Published by

Nature Biotechnology

Summary

journal-article

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

Research Square

Summary

other

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

Research Square

Summary

other

Quantifying the effect of experimental perturbations at single-cell resolution

Published by

Nature Biotechnology

Summary

journal-article

Quantifying the effect of experimental perturbations at single-cell resolution

Published by

Nature Biotechnology

Summary

journal-article

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

Research Square

Summary

other

Quantifying the effect of experimental perturbations at single-cell resolution

Published by

Nature Biotechnology

Summary

journal-article

MULTIMODAL DATA VISUALIZATION AND DENOISING WITH INTEGRATED DIFFUSION

Published by

arXiv

Summary

other

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

arXiv

Summary

other

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

arXiv

Summary

other

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

arXiv

Summary

other

Multimodal Data Visualization and Denoising with Integrated Diffusion

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

MULTIMODAL DATA VISUALIZATION AND DENOISING WITH INTEGRATED DIFFUSION

Published by

arXiv

Summary

other

Multimodal Data Visualization and Denoising with Integrated Diffusion

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE

Published by

arXiv

Summary

other

Multimodal Data Visualization and Denoising with Integrated Diffusion

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

MULTIMODAL DATA VISUALIZATION AND DENOISING WITH INTEGRATED DIFFUSION

Published by

arXiv

Summary

other

Multimodal Data Visualization and Denoising with Integrated Diffusion

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

MULTIMODAL DATA VISUALIZATION AND DENOISING WITH INTEGRATED DIFFUSION

Published by

arXiv

Summary

other

MULTIMODAL DATA VISUALIZATION AND DENOISING WITH INTEGRATED DIFFUSION

Published by

arXiv

Summary

other

POT: Python optimal transport

Published by

Journal of Machine Learning Research

Summary

journal-article

POT: Python optimal transport

Published by

Journal of Machine Learning Research

Summary

journal-article

POT: Python optimal transport

Published by

Journal of Machine Learning Research

Summary

journal-article

POT: Python optimal transport

Published by

Journal of Machine Learning Research

Summary

journal-article

Data-Driven Learning of Geometric Scattering Modules for GNNs

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Data-Driven Learning of Geometric Scattering Modules for GNNs

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Data-Driven Learning of Geometric Scattering Modules for GNNs

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Data-Driven Learning of Geometric Scattering Modules for GNNs

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Diffusion Earth Mover's Distance and Distribution Embeddings

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Diffusion earth mover's distance and distribution embeddings

Published by

arXiv

Summary

other

Diffusion Earth Mover's Distance and Distribution Embeddings

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Diffusion earth mover's distance and distribution embeddings

Published by

arXiv

Summary

other

Diffusion Earth Mover's Distance and Distribution Embeddings

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Diffusion earth mover's distance and distribution embeddings

Published by

arXiv

Summary

other

Diffusion Earth Mover's Distance and Distribution Embeddings

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

Diffusion earth mover's distance and distribution embeddings

Published by

arXiv

Summary

other

Diffusion Earth Mover's Distance and Distribution Embeddings

Published by

Proceedings of Machine Learning Research

Summary

conference-paper

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data

Published by

Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Summary

conference-paper

MURAL: An unsupervised random forest-based embedding for electronic health record data

Published by

arXiv

Summary

other

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data

Published by

Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Summary

conference-paper

MURAL: An unsupervised random forest-based embedding for electronic health record data

Published by

arXiv

Summary

other

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data

Published by

Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Summary

conference-paper

MURAL: An unsupervised random forest-based embedding for electronic health record data

Published by

arXiv

Summary

other

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data

Published by

Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Summary

conference-paper

MURAL: An unsupervised random forest-based embedding for electronic health record data

Published by

arXiv

Summary

other

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data

Published by

Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Summary

conference-paper

Data-Driven Learning of Geometric Scattering Networks

Published by

arXiv

Summary

other

Fixing bias in reconstruction-based anomaly detection with lipschitz discriminators

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Fixing bias in reconstruction-based anomaly detection with lipschitz discriminators

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Fixing bias in reconstruction-based anomaly detection with lipschitz discriminators

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Data-Driven Learning of Geometric Scattering Networks

Published by

arXiv

Summary

other

Data-Driven Learning of Geometric Scattering Networks

Published by

arXiv

Summary

other

Data-Driven Learning of Geometric Scattering Networks

Published by

arXiv

Summary

other

Interpretable Neuron Structuring with Graph Spectral Regularization

Published by

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Summary

book

Interpretable Neuron Structuring with Graph Spectral Regularization

Published by

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Summary

book

Fixing bias in reconstruction-based anomaly detection with lipschitz discriminators

Published by

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Summary

conference-paper

Interpretable Neuron Structuring with Graph Spectral Regularization

Published by

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Summary

book

Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics

Published by

37th International Conference on Machine Learning, ICML 2020

Summary

conference-paper

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

SSRN

Summary

other

Interpretable Neuron Structuring with Graph Spectral Regularization

Published by

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Summary

book

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

SSRN

Summary

other

Multiscale PHATE exploration of SARS-CoV-2 data reveals multimodal signatures of disease

Published by

bioRxiv

Summary

other

Multiscale PHATE exploration of SARS-CoV-2 data reveals multimodal signatures of disease

Published by

bioRxiv

Summary

other

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

SSRN

Summary

other

Multiscale PHATE exploration of SARS-CoV-2 data reveals multimodal signatures of disease

Published by

bioRxiv

Summary

other

Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease

Published by

SSRN

Summary

other

Multiscale PHATE exploration of SARS-CoV-2 data reveals multimodal signatures of disease

Published by

bioRxiv

Summary

other

Multiscale PHATE exploration of SARS-CoV-2 data reveals multimodal signatures of disease

Published by

bioRxiv

Summary

other

Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics

Published by

37th International Conference on Machine Learning, ICML 2020

Summary

conference-paper

TrajectoryNet: A dynamic optimal transport network for modeling cellular dynamics

Published by

arXiv

Summary

other

Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics

Published by

37th International Conference on Machine Learning, ICML 2020

Summary

conference-paper

TrajectoryNet: A dynamic optimal transport network for modeling cellular dynamics

Published by

arXiv

Summary

other

TrajectoryNet: A dynamic optimal transport network for modeling cellular dynamics

Published by

arXiv

Summary

other

Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics

Published by

37th International Conference on Machine Learning, ICML 2020

Summary

conference-paper

TrajectoryNet: A dynamic optimal transport network for modeling cellular dynamics

Published by

arXiv

Summary

other

TrajectoryNet: A dynamic optimal transport network for modeling cellular dynamics

Published by

arXiv

Summary

other

Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings

Published by

Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020

Summary

conference-paper

Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings

Published by

Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020

Summary

conference-paper

Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings

Published by

Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020

Summary

conference-paper

Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings

Published by

Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020

Summary

conference-paper

Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings

Published by

arXiv

Summary

other

Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings

Published by

arXiv

Summary

other

Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings

Published by

arXiv

Summary

other

Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings

Published by

arXiv

Summary

other

Quantifying the effect of experimental perturbations at single-cell resolution

Summary

other

Finding Archetypal Spaces Using Neural Networks

Published by

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Summary

conference-paper

Finding archetypal spaces using neural networks

Published by

arXiv

Summary

other

Finding Archetypal Spaces Using Neural Networks

Published by

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Summary

conference-paper

Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms

Published by

arXiv

Summary

other

Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms

Published by

arXiv

Summary

other

Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms

Published by

arXiv

Summary

other

Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms

Published by

arXiv

Summary

other

Quantifying the effect of experimental perturbations at single-cell resolution

Summary

other

A Lipschitz-constrained anomaly discriminator framework

Published by

arXiv

Summary

other

A Lipschitz-constrained anomaly discriminator framework

Published by

arXiv

Summary

other

A Lipschitz-constrained anomaly discriminator framework

Published by

arXiv

Summary

other

A Lipschitz-constrained anomaly discriminator framework

Published by

arXiv

Summary

other

Finding Archetypal Spaces Using Neural Networks

Published by

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Summary

conference-paper

Finding archetypal spaces using neural networks

Published by

arXiv

Summary

other

Finding Archetypal Spaces Using Neural Networks

Published by

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Summary

conference-paper

Finding archetypal spaces using neural networks

Published by

arXiv

Summary

other

Finding Archetypal Spaces Using Neural Networks

Published by

Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Summary

conference-paper

Finding archetypal spaces using neural networks

Published by

arXiv

Summary

other

Interpretable neuron structuring with graph spectral regularization

Published by

arXiv

Summary

other

Interpretable neuron structuring with graph spectral regularization

Published by

arXiv

Summary

other

Interpretable neuron structuring with graph spectral regularization

Published by

arXiv

Summary

other

Allocate-on-use space complexity of shared-memory algorithms

Published by

Leibniz International Proceedings in Informatics, LIPIcs

Summary

conference-paper

Allocate-on-use space complexity of shared-memory algorithms

Published by

Leibniz International Proceedings in Informatics, LIPIcs

Summary

conference-paper

Allocate-on-use space complexity of shared-memory algorithms

Published by

Leibniz International Proceedings in Informatics, LIPIcs

Summary

conference-paper

Allocate-on-use space complexity of shared-memory algorithms

Published by

Leibniz International Proceedings in Informatics, LIPIcs

Summary

conference-paper

Interpretable neuron structuring with graph spectral regularization

Published by

arXiv

Summary

other

Interpretable neuron structuring with graph spectral regularization

Published by

arXiv

Summary

other

Alexander Tong