Léo Meynent

PhD student, Universität St. Gallen

Joined

August 2022

Names

Léo Meynent (Preferred)

Emails

****@epfl.ch (Confirmed)

****@unisg.ch (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

PhD student

Universität St. Gallen (unisg.ch)

2023 – Present

Intern

armasuisse W+T (ar.admin.ch)

2022 – 2023

MS student

EPFL - EPF Lausanne (epfl.ch)

2020 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Joaquin Vanschoren

2026 – Present

PhD Advisor

Damian Borth

2023 – Present

Expertise

No areas of expertise listed

Publications

Learning Model Representations Using Publicly Available Model Hubs
Damian Falk, Konstantin Schürholt, Konstantinos Tzevelekakis, Léo Meynent, Damian Borth
- CoRR 2025
- Readers: Everyone
Learning Neural Representations From Publicly Available Model Hubs
Damian Falk, Konstantin Schürholt, Konstantinos Tzevelekakis, Léo Meynent, Damian Borth
- Submitted to ICLR 2026
- Readers: Everyone
A Model Zoo of Vision Transformers
Damian Falk, Léo Meynent, Florence Pfammatter, Konstantin Schürholt, Damian Borth
- CoRR 2025
- Readers: Everyone
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
- CoRR 2025
- Readers: Everyone
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
- Accepted by DMLR
- Readers: Everyone
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction
Léo Meynent, Ivan Melev, Konstantin Schürholt, Göran Kauermann, Damian Borth
- CoRR 2025
- Readers: Everyone
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schürholt, Léo Meynent, Yefan Zhou, Yaoqing Yang, Damian Borth
- ICLR 2025 Workshop Weight Space Learning Poster
- Readers: Everyone
A Model Zoo of Vision Transformers
Damian Falk, Léo Meynent, Florence Pfammatter, Konstantin Schürholt, Damian Borth
- ICLR 2025 Workshop Weight Space Learning Poster
- Readers: Everyone
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction
Léo Meynent, Ivan Melev, Konstantin Schürholt, Goeran Kauermann, Damian Borth
- ICLR 2025 Workshop Weight Space Learning Poster
- Readers: Everyone
Model Zoos for Benchmarking Phase Transitions in Neural Networks
Konstantin Schürholt, Léo Meynent, Yefan Zhou, Yaoqing Yang, Damian Borth
- Submitted to ICLR 2025
- Readers: Everyone

View all 14 publications