Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot, Serge Belongie, Zeynep Akata
NeurIPS, 2025
Publications
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot*, Ievgen Redko*, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
CVPR, 2025
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Permalink
Jayneel Parekh*, Quentin Bouniot*, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc
ICLR, 2025
Tailoring Mixup to Data for Calibration
Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc
ICLR, 2025
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks
Quentin Bouniot
PhD Thesis, 2023
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Quentin Bouniot, Romaric Audigier, Angelique Loesch, Amaury Habrard
ICLR, 2023
Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient?
Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard
WACV, 2023
Improving Few-Shot Learning through Multi-task Representation Learning Theory
Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
ECCV, 2022
Optimal Transport as a Defense Against Adversarial Attacks
Quentin Bouniot, Romaric Audigier, Angélique Loesch
ICPR, 2021
Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks.
Quentin Bouniot, Romaric Audigier, Angélique Loesch
CVPRW, 2020