Guy Wolf

Guy Wolf

Université de Montréal

H-index: 22

North America-Canada

About Guy Wolf

Guy Wolf, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at Université de Montréal, specializes in the field of Exploratory Data Analysis, Dimensionality Reduction, Manifold Learning, Geometric Deep Learning, Graph Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation

Effective Protein-Protein Interaction Exploration with PPIretrieval

Inferring dynamic regulatory interaction graphs from time series data with perturbations

Assessing neural network representations during training using noise-resilient diffusion spectral entropy

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

Spectral Temporal Contrastive Learning

Data Imputation with an Autoencoder and MAGIC

Time-inhomogeneous diffusion geometry and topology

Guy Wolf Information

University

Position

___

Citations(all)

4174

Citations(since 2020)

3954

Cited By

1235

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

46

i10Index(since 2020)

41

Email

University Profile Page

Université de Montréal

Google Scholar

View Google Scholar Profile

Guy Wolf Skills & Research Interests

Exploratory Data Analysis

Dimensionality Reduction

Manifold Learning

Geometric Deep Learning

Graph Signal Processing

Top articles of Guy Wolf

Title

Journal

Author(s)

Publication Date

Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation

arXiv preprint arXiv:2402.04958

Pedro Vianna

Muawiz Chaudhary

Paria Mehrbod

An Tang

Guy Cloutier

...

2024/2/7

Effective Protein-Protein Interaction Exploration with PPIretrieval

arXiv preprint arXiv:2402.03675

Chenqing Hua

Connor Coley

Guy Wolf

Doina Precup

Shuangjia Zheng

2024/2/6

Inferring dynamic regulatory interaction graphs from time series data with perturbations

Dhananjay Bhaskar

Daniel Sumner Magruder

Matheo Morales

Edward De Brouwer

Aarthi Venkat

...

2024/4/17

Assessing neural network representations during training using noise-resilient diffusion spectral entropy

Danqi Liao

Chen Liu

Benjamin W Christensen

Alexander Tong

Guillaume Huguet

...

2024/3/13

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

Advances in Neural Information Processing Systems

Guillaume Huguet

Alexander Tong

Edward De Brouwer

Yanlei Zhang

Guy Wolf

...

2024/2/13

Spectral Temporal Contrastive Learning

arXiv preprint arXiv:2312.00966

Sacha Morin

Somjit Nath

Samira Ebrahimi Kahou

Guy Wolf

2023/12/1

Data Imputation with an Autoencoder and MAGIC

Devin Eddington

Andres F Duque Correa

Guy Wolf

Kevin R Moon

2023/7/10

Time-inhomogeneous diffusion geometry and topology

SIAM Journal on Mathematics of Data Science

Guillaume Huguet

Alexander Tong

Bastian Rieck

Jessie Huang

Manik Kuchroo

...

2023/6/30

Graph topological property recovery with heat and wave dynamics-based features on graphs

arXiv preprint arXiv:2309.09924

Dhananjay Bhaskar

Yanlei Zhang

Charles Xu

Xingzhi Sun

Oluwadamilola Fasina

...

2023/9/18

Multi-view manifold learning of human brain-state trajectories

Nature computational science

Erica L Busch

Jessie Huang

Andrew Benz

Tom Wallenstein

Guillaume Lajoie

...

2023/3

Manifold Alignment with Label Information

Andres F Duque Correa

Myriam Lizotte

Guy Wolf

Kevin R Moon

2023/7/10

Oamip: Optimizing ANN architectures using mixed-integer programming

Mostafa ElAraby

Guy Wolf

Margarida Carvalho

2023/5/23

Gaining Biological Insights through Supervised Data Visualization

bioRxiv

Jake S Rhodes

Adrien Aumon

Sacha Morin

Marc Girard

Catherine Larochelle

...

2023/11/23

Geodesic sinkhorn for fast and accurate optimal transport on manifolds

Guillaume Huguet

Alexander Tong

María Ramos Zapatero

Christopher J Tape

Guy Wolf

...

2023/9/17

Improving and generalizing flow-based generative models with minibatch optimal transport

arXiv preprint arXiv:2302.00482

Alexander Tong

Nikolay Malkin

Guillaume Huguet

Yanlei Zhang

Jarrid Rector-Brooks

...

2023/2/1

Graph Fourier MMD for Signals on Graphs

Samuel Leone

Aarthi Venkat

Guillaume Huguet

Alexander Tong

Guy Wolf

...

2023/7/10

Towards foundational models for molecular learning on large-scale multi-task datasets

arXiv preprint arXiv:2310.04292

Dominique Beaini

Shenyang Huang

Joao Alex Cunha

Gabriela Moisescu-Pareja

Oleksandr Dymov

...

2023/10/6

Automated liver segmentation and steatosis grading using deep learning on B-mode ultrasound images

Pedro Vianna

Merve Kulbay

Pamela Boustros

Sara-Ivana Calce

Cassandra Larocque-Rigney

...

2023/9/3

Single-cell analysis reveals inflammatory interactions driving macular degeneration

Nature Communications

Manik Kuchroo

Marcello DiStasio

Eric Song

Eda Calapkulu

Le Zhang

...

2023/5/5

Understanding graph neural networks with generalized geometric scattering transforms

SIAM Journal on Mathematics of Data Science

Michael Perlmutter

Alexander Tong

Feng Gao

Guy Wolf

Matthew Hirn

2023/12/31

See List of Professors in Guy Wolf University(Université de Montréal)

Co-Authors

H-index: 87
Ronald Coifman

Ronald Coifman

Yale University

H-index: 51
Amir Averbuch

Amir Averbuch

Tel Aviv University

H-index: 34
Smita Krishnaswamy

Smita Krishnaswamy

Yale University

H-index: 34
David van Dijk

David van Dijk

Yale University

H-index: 18
Kevin R. Moon

Kevin R. Moon

Utah State University

H-index: 18
Natalia Ivanova

Natalia Ivanova

University of Georgia

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