Julien Colin

According to our database, Julien Colin authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Local vs distributed representations: What is the right basis for interpretability?

Julien Colin, Lore Goetschalckx, Thomas Fel, Victor Boutin, Jay Gopal, Thomas Serre, Nuria Oliver

CoRR, 2024

2023

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre

CoRR, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?

Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre

Proceedings of the International Conference on Machine Learning, 2023

CRAFT: Concept Recursive Activation FacTorization for Explainability.

Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Xplique: A Deep Learning Explainability Toolbox.

Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Martin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre

CoRR, 2022

A Benchmark for Compositional Visual Reasoning.

Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods.

Julien Colin, Thomas Fel, Rémi Cadène, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022