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2020 – today
- 2024
[c9]Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin VanRullen, Thomas Serre:
Saliency strikes back: How filtering out high frequencies improves white-box explanations. ICML 2024- [i9]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 abs/2406.06079 (2024) - 2023
- [j6]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: 56273-56286 (2023) - [c8]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: 2953-3002 - [c7]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 - [c6]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 - [i8]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 abs/2301.11722 (2023) - [i7]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin 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 abs/2306.06805 (2023) - [i6]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 abs/2306.07304 (2023) - 2022
- [j5]Vincent Therrien, Hakim Mellah, Victor Boutin, Brunilde Sansò:
A Large-Scale Simulator for NB-IoT. IEEE Access 10: 68231-68239 (2022) - [j4]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): 12272-12284 (2022) - [j3]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) - [c5]Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre:
Diversity vs. Recognizability: Human-like generalization in one-shot generative models. NeurIPS 2022 - [i5]Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre:
Diversity vs. Recognizability: Human-like generalization in one-shot generative models. CoRR abs/2205.10370 (2022) - 2021
- [j2]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) - [c4]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: 269-274 - [c3]Victor Boutin, Hakim Mellah, Constant Wette, Brunilde Sansò:
Simulating Large-Scale 5G Networks. 5GWF 2021: 293-298 - [c2]Antoine Grimaldi, Victor Boutin, Laurent Perrinet, Sio-Hoi Ieng, Ryad Benosman:
A homeostatic gain control mechanism to improve event-driven object recognition. CBMI 2021: 1-6 - 2020
- [j1]Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet:
Effect of Top-Down Connections in Hierarchical Sparse Coding. Neural Comput. 32(11): 2279-2309 (2020) - [i4]Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet:
Effect of top-down connections in Hierarchical Sparse Coding. CoRR abs/2002.00892 (2020) - [i3]Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre:
Iterative VAE as a predictive brain model for out-of-distribution generalization. CoRR abs/2012.00557 (2020)
2010 – 2019
- 2019
- [i2]Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet:
Meaningful representations emerge from Sparse Deep Predictive Coding. CoRR abs/1902.07651 (2019) - 2018
- [c1]Julien Dupeyroux, Victor Boutin, Julien R. Serres, Laurent U. Perrinet, Stéphane Viollet:
M2APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation. ISCAS 2018: 1-4 - [i1]Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U. Perrinet:
From biological vision to unsupervised hierarchical sparse coding. CoRR abs/1812.01335 (2018)
Coauthor Index
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