Quentin Bouniot
@qbouniot.bsky.social
Post-Doctoral Researcher at @eml-munich.bsky.social, in
@www.helmholtz-munich.de and @tumuenchen.bsky.social.
Optimal Transport, Explainability, Robustness, Deep Representation Learning, Computer Vision.
https://qbouniot.github.io/
@www.helmholtz-munich.de and @tumuenchen.bsky.social.
Optimal Transport, Explainability, Robustness, Deep Representation Learning, Computer Vision.
https://qbouniot.github.io/
Reposted by Quentin Bouniot
This project was a collaboration between @eml-munich.bsky.social and Huawei Paris Noah’s Ark Lab. Thank you to my collaborators @qbouniot.bsky.social, Vasilii Feofanov, Ievgen Redko, and particularly to my advisor @zeynepakata.bsky.social for guiding me through my first PhD project!
July 3, 2025 at 7:59 AM
This project was a collaboration between @eml-munich.bsky.social and Huawei Paris Noah’s Ark Lab. Thank you to my collaborators @qbouniot.bsky.social, Vasilii Feofanov, Ievgen Redko, and particularly to my advisor @zeynepakata.bsky.social for guiding me through my first PhD project!
This is a joint work with great collaborators Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski.
tldr;
We propose a way to compare deep neural architectures covering everything from Alexnet to ViTs and beyond.
tldr;
We propose a way to compare deep neural architectures covering everything from Alexnet to ViTs and beyond.
June 15, 2025 at 5:14 AM
This is a joint work with great collaborators Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski.
tldr;
We propose a way to compare deep neural architectures covering everything from Alexnet to ViTs and beyond.
tldr;
We propose a way to compare deep neural architectures covering everything from Alexnet to ViTs and beyond.