Gal Mishne

Adam S. Charles

CoRR, 2024

Learning Cartesian Product Graphs with Laplacian Constraints.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Contextual Feature Selection with Conditional Stochastic Gates.

[BibT_eX]

[DOI]

CoRR, 2023

On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs.

[BibT_eX]

[DOI]

Sawyer Jack Robertson

Dhruv Kohli

CoRR, 2023

Random Walks, Conductance, and Resistance for the Connection Graph Laplacian.

[BibT_eX]

[DOI]

Andreas Oslandsbotn

Sawyer Jack Robertson

Zhengchao Wan

Yusu Wang

CoRR, 2023

Semi-Supervised Laplacian Learning on Stiefel Manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Laplacian Learning with Exponential Family Noise.

[BibT_eX]

[DOI]

CoRR, 2023

SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States.

[BibT_eX]

[DOI]

Noga Mudrik

Adam S. Charles

CoRR, 2023

Non-degenerate Rigid Alignment in a Patch Framework.

[BibT_eX]

[DOI]

Dhruv Kohli

CoRR, 2023

Product Manifold Learning with Independent Coordinate Selection.

[BibT_eX]

[DOI]

Jesse He

Tristan Brugère

Proceedings of the Topological, 2023

The Numerical Stability of Hyperbolic Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Implicit Graphon Neural Representation.

[BibT_eX]

[DOI]

Xinyue Xia

Yusu Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Multi-scale affinities with missing data: Estimation and applications.

[BibT_eX]

[DOI]

Min Zhang

Stat. Anal. Data Min., 2022

Applications and Comparison of Dimensionality Reduction Methods for Microbiome Data.

[BibT_eX]

[DOI]

Frontiers Bioinform., 2022

Learning Sample Reweighting for Accuracy and Adversarial Robustness.

[BibT_eX]

[DOI]

Tsui-Wei Weng

CoRR, 2022

Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

DiSC: Differential Spectral Clustering of Features.

[BibT_eX]

[DOI]

Ram Dyuthi Sristi

Ariel Jaffe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Smooth graph learning for functional connectivity estimation.

[BibT_eX]

[DOI]

NeuroImage, 2021

LDLE: Low Distortion Local Eigenmaps.

[BibT_eX]

[DOI]

Dhruv Kohli

J. Mach. Learn. Res., 2021

Online Adversarial Purification based on Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

COBRAC: a fast implementation of convex biclustering with compression.

[BibT_eX]

[DOI]

Bioinform., 2021

Learning Disentangled Behavior Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Adversarial Purification based on Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries.

[BibT_eX]

[DOI]

Jay S. Stanley III

IEEE Signal Process. Mag., 2020

Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian.

[BibT_eX]

[DOI]

Xiuyuan Cheng

SIAM J. Imaging Sci., 2020

Randomized near-neighbor graphs, giant components and applications in data science.

[BibT_eX]

[DOI]

J. Appl. Probab., 2020

Kernel-based parameter estimation of dynamical systems with unknown observation functions.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries.

[BibT_eX]

[DOI]

Jay S. Stanley III

CoRR, 2020

Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain.

[BibT_eX]

[DOI]

Siyuan Gao

Dustin Scheinost

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Visualizing the PHATE of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data.

[BibT_eX]

[DOI]

Siyuan Gao

Dustin Scheinost

Proceedings of the Information Processing in Medical Imaging, 2019

Co-manifold learning with missing data.

[BibT_eX]

[DOI]

Ronald R. Coifman

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Spatially-correlated Temporal Dictionaries for Calcium Imaging.

[BibT_eX]

[DOI]

Adam S. Charles

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Data-Driven Tree Transforms and Metrics.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2018

2017

Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science.

[BibT_eX]

[DOI]

CoRR, 2017

Iterative diffusion-based anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

Improving resolution in supervised patch-based target detection.

[BibT_eX]

[DOI]

Ron Amit

Ronen Talmon

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Graph-Based Supervised Automatic Target Detection.

[BibT_eX]

[DOI]

Ronen Talmon

IEEE Trans. Geosci. Remote. Sens., 2015

Diffusion Nets.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Multiscale anomaly detection using diffusion maps and saliency score.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Multiscale Anomaly Detection Using Diffusion Maps.

[BibT_eX]

[DOI]