Gauthier Gidel

Gauthier Gidel

Université de Montréal

H-index: 21

North America-Canada

About Gauthier Gidel

Gauthier Gidel, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at Université de Montréal, specializes in the field of Artificial Intelligence, Machine learning, Optimization, Game Theory, Neural Network.

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

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases

In-Context Learning Can Re-learn Forbidden Tasks

Proving linear mode connectivity of neural networks via optimal transport

When is Momentum Extragradient Optimal? A Polynomial-Based Analysis

Deep Equilibrium Models For Algorithmic Reasoning

Expected flow networks in stochastic environments and two-player zero-sum games

Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

Gauthier Gidel Information

University

Position

Assistant professor at Mila (DIRO)

Citations(all)

2102

Citations(since 2020)

2073

Cited By

631

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

33

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Gauthier Gidel Skills & Research Interests

Artificial Intelligence

Machine learning

Optimization

Game Theory

Neural Network

Top articles of Gauthier Gidel

Title

Journal

Author(s)

Publication Date

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

arXiv preprint arXiv:2402.06121

Tara Akhound-Sadegh

Jarrid Rector-Brooks

Avishek Joey Bose

Sarthak Mittal

Pablo Lemos

...

2024/2/9

Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases

Ruslan Nazykov

Aleksandr Shestakov

Vladimir Solodkin

Aleksandr Beznosikov

Gauthier Gidel

...

2024/4/18

In-Context Learning Can Re-learn Forbidden Tasks

arXiv preprint arXiv:2402.05723

Sophie Xhonneux

David Dobre

Jian Tang

Gauthier Gidel

Dhanya Sridhar

2024/2/8

Proving linear mode connectivity of neural networks via optimal transport

Damien Ferbach

Baptiste Goujaud

Gauthier Gidel

Aymeric Dieuleveut

2024/4/18

When is Momentum Extragradient Optimal? A Polynomial-Based Analysis

Transactions on Machine Learning Research

Junhyung Lyle Kim

Gauthier Gidel

Anastasios Kyrillidis

Fabian Pedregosa

2024

Deep Equilibrium Models For Algorithmic Reasoning

Sophie Xhonneux

Yu He

Andreea Deac

Jian Tang

Gauthier Gidel

2024/2/16

Expected flow networks in stochastic environments and two-player zero-sum games

Marco Jiralerspong

Bilun Sun

Danilo Vucetic

Tianyu Zhang

Yoshua Bengio

...

2024/5

Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

arXiv preprint arXiv:2402.09063

Leo Schwinn

David Dobre

Sophie Xhonneux

Gauthier Gidel

Stephan Gunnemann

2024/2/14

On the stability of iterative retraining of generative models on their own data

Quentin Bertrand

Avishek Joey Bose

Alexandre Duplessis

Marco Jiralerspong

Gauthier Gidel

2024/5

Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure

Advances in Neural Information Processing Systems

Angela Yuan

Chris Junchi Li

Gauthier Gidel

Michael Jordan

Quanquan Gu

...

2024/2/13

Synaptic weight distributions depend on the geometry of plasticity

The Twelfth International Conference on Learning Representations

Roman Pogodin

Jonathan Cornford

Arna Ghosh

Gauthier Gidel

Guillaume Lajoie

...

2024/5

On the Limitations of the Elo, Real-World Games are Transitive, not Additive

Quentin Bertrand

Wojciech Marian Czarnecki

Gauthier Gidel

2023/4/11

Convergence of proximal point and extragradient-based methods beyond monotonicity: the case of negative comonotonicity

Eduard Gorbunov

Adrien Taylor

Samuel Horváth

Gauthier Gidel

2023/7/3

A Persuasive Approach to Combating Misinformation

arXiv preprint arXiv:2310.12065

Safwan Hossain

Andjela Mladenovic

Yiling Chen

Gauthier Gidel

2023/10/18

Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples

Marco Jiralerspong

Avishek Joey Bose

Ian Gemp

Chongli Qin

Yoram Bachrach

...

2023

Omega: Optimistic EMA Gradients

arXiv preprint arXiv:2306.07905

Juan Ramirez

Rohan Sukumaran

Quentin Bertrand

Gauthier Gidel

2023/6/13

High-probability convergence for composite and distributed stochastic minimization and variational inequalities with heavy-tailed noise

arXiv preprint arXiv:2310.01860

Eduard Gorbunov

Abdurakhmon Sadiev

Marina Danilova

Samuel Horváth

Gauthier Gidel

...

2023/10/3

Raising the bar for certified adversarial robustness with diffusion models

arXiv preprint arXiv:2305.10388

Thomas Altstidl

David Dobre

Björn Eskofier

Gauthier Gidel

Leo Schwinn

2023/5/17

AI4GCC--Track 3: Consumption and the Challenges of Multi-Agent RL

arXiv preprint arXiv:2308.05260

Marco Jiralerspong

Gauthier Gidel

2023/8/9

Sarah frank-wolfe: Methods for constrained optimization with best rates and practical features

arXiv preprint arXiv:2304.11737

Aleksandr Beznosikov

David Dobre

Gauthier Gidel

2023/4/23

See List of Professors in Gauthier Gidel University(Université de Montréal)

Co-Authors

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