Victor Boutin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Biological Vision

Diffusion Models

Constrained Optimization

Discriminative Dictionary

Top Venues

PLoS Comput. Biol.

Publications

Victor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks. CoRR (2024)
Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS (2023)
Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR (2023)
Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? ICML (2023)
Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? CoRR (2023)
Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS (2023)
Abbas Dehghani Firouzabadi, Hakim Mellah, Orestes Manzanilla-Salazar, Reza Khalvandi, Vincent Therrien, Victor Boutin, Brunilde Sansò
PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment. IEEE Access 11 (2023)
Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR (2023)
Victor Boutin, Angelo Franciosini, Frédéric Chavane, Laurent U. Perrinet
Pooling strategies in V1 can account for the functional and structural diversity across species. PLoS Comput. Biol. 18 (7) (2022)
Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
Diversity vs. Recognizability: Human-like generalization in one-shot generative models. NeurIPS (2022)
Vincent Therrien, Hakim Mellah, Victor Boutin, Brunilde Sansò
A Large-Scale Simulator for NB-IoT. IEEE Access 10 (2022)
Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
Diversity vs. Recognizability: Human-like generalization in one-shot generative models. CoRR (2022)
Orestes Manzanilla-Salazar, Victor Boutin, Hakim Mellah, Constant Wette, Brunilde Sansò
Framework for Vertical Performance Assessment in Very Large-Scale Cellular Networks. IEEE Internet Things J. 9 (14) (2022)
Victor Boutin, Hakim Mellah, Constant Wette, Brunilde Sansò
Simulating Large-Scale 5G Networks. 5GWF (2021)
Victor Boutin, Alexis Hannart, Abderrahim Essaidi, Brunilde Sansò
Offloading autonomous vehicle machine learning algorithms to the 5G edge: A proof of concept implementation. 5GWF (2021)
Antoine Grimaldi, Victor Boutin, Laurent Perrinet, Sio-Hoi Ieng, Ryad Benosman
A homeostatic gain control mechanism to improve event-driven object recognition. CBMI (2021)
Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent Perrinet
Sparse deep predictive coding captures contour integration capabilities of the early visual system. PLoS Comput. Biol. 17 (1) (2021)
Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre
Iterative VAE as a predictive brain model for out-of-distribution generalization. CoRR (2020)
Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet
Effect of top-down connections in Hierarchical Sparse Coding. CoRR (2020)
Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet
Effect of Top-Down Connections in Hierarchical Sparse Coding. Neural Comput. 32 (11) (2020)
Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet
Meaningful representations emerge from Sparse Deep Predictive Coding. CoRR (2019)
Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U. Perrinet
From biological vision to unsupervised hierarchical sparse coding. CoRR (2018)
Julien Dupeyroux, Victor Boutin, Julien R. Serres, Laurent U. Perrinet, Stéphane Viollet
APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation. ISCAS (2018)