Aladin Virmaux

Researcher, Huawei Technologies Ltd.

Joined

July 2019

Names

Aladin Virmaux

Emails

****@huawei.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Huawei Technologies Ltd. (huawei.com)

2017 – Present

PhD student

Laboratoire de Recherche en Informatique (lri.fr)

2013 – 2016

Advisors, Relations & Conflicts

No relations added

Expertise

Transfer learning

2020 – 2020

Graph neural networks

2017 – 2020

Algebraic combinatorics

2013 – 2016

Publications

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
- ICML 2024 Oral
- Readers: Everyone
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
- ICML 2023 Poster
- Readers: Everyone
Meta-learning of Black-box Solvers Using Deep Reinforcement Learning
Sofian Chaybouti, Ludovic Dos Santos, Cedric Malherbe, Aladin Virmaux
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- NeurIPS 2022 Workshop MetaLearn Poster
- Readers: Everyone
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Density Estimation For Conservative Q-Learning
Paul Daoudi, Ludovic Dos Santos, Merwan Barlier, Aladin Virmaux
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Density Estimation for Conservative Q-Learning
Paul Daoudi, Merwan Barlier, Ludovic Dos Santos, Aladin Virmaux
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation
Aladin Virmaux, Illyyne Saffar, Jianfeng Zhang, Balázs Kégl
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Improving Hierarchical Adversarial Robustness of Deep Neural Networks
Avery Ma, Aladin Virmaux, Kevin Scaman, Juwei Lu
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
EMTL: A Generative Domain Adaptation Approach
Jianfeng Zhang, Illyyne Saffar, Aladin Virmaux, Balázs Kégl
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Aladin Virmaux, Kevin Scaman
- 2018 (modified: 11 Nov 2022)
- NeurIPS 2018
- Readers: Everyone

Aladin Virmaux

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors