M2APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation. - Julien Dupeyroux; Victor Boutin; Julien R. Serres; Laurent U. Perrinet; Stéphane Viollet (ISCAS, 2018)

From biological vision to unsupervised hierarchical sparse coding. - Victor Boutin; Angelo Franciosini; Franck Ruffier; Laurent U. Perrinet (CoRR, 2018)

Meaningful representations emerge from Sparse Deep Predictive Coding. - Victor Boutin; Angelo Franciosini; Franck Ruffier; Laurent Perrinet (CoRR, 2019)

Iterative VAE as a predictive brain model for out-of-distribution generalization. - Victor Boutin; Aimen Zerroug; Minju Jung; Thomas Serre (CoRR, 2020)

Effect of Top-Down Connections in Hierarchical Sparse Coding. - Victor Boutin; Angelo Franciosini; Franck Ruffier; Laurent Perrinet (Neural Comput., 2020)

Offloading autonomous vehicle machine learning algorithms to the 5G edge: A proof of concept implementation. - Victor Boutin; Alexis Hannart; Abderrahim Essaidi; Brunilde Sansò (5GWF, 2021)

Simulating Large-Scale 5G Networks. - Victor Boutin; Hakim Mellah; Constant Wette; Brunilde Sansò (5GWF, 2021)

A homeostatic gain control mechanism to improve event-driven object recognition. - Antoine Grimaldi; Victor Boutin; Laurent Perrinet; Sio-Hoi Ieng; Ryad Benosman (CBMI, 2021)

Sparse deep predictive coding captures contour integration capabilities of the early visual system. - Victor Boutin; Angelo Franciosini; Frédéric Chavane; Franck Ruffier; Laurent Perrinet (PLoS Comput. Biol., 2021)

Diversity vs. Recognizability: Human-like generalization in one-shot generative models. - Victor Boutin; Lakshya Singhal; Xavier Thomas; Thomas Serre (NeurIPS, 2022)

A Large-Scale Simulator for NB-IoT. - Vincent Therrien; Hakim Mellah; Victor Boutin; Brunilde Sansò (IEEE Access, 2022)

Framework for Vertical Performance Assessment in Very Large-Scale Cellular Networks. - Orestes Manzanilla-Salazar; Victor Boutin; Hakim Mellah; Constant Wette; Brunilde Sansò (IEEE Internet Things J., 2022)

Pooling strategies in V1 can account for the functional and structural diversity across species. - Victor Boutin; Angelo Franciosini; Frédéric Chavane; Laurent U. Perrinet (PLoS Comput. Biol., 2022)

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 (ICML, 2023)

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. - Thomas Fel; Victor Boutin; Louis Béthune; Rémi Cadène; Mazda Moayeri; Léo Andéol; Mathieu Chalvidal; Thomas Serre (NeurIPS, 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 (NeurIPS, 2023)

PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment. - Abbas Dehghani Firouzabadi; Hakim Mellah; Orestes Manzanilla-Salazar; Reza Khalvandi; Vincent Therrien; Victor Boutin; Brunilde Sansò (IEEE Access, 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)

Saliency strikes back: How filtering out high frequencies improves white-box explanations. - Sabine Muzellec; Thomas Fel; Victor Boutin; Léo Andéol; Rufin VanRullen; Thomas Serre (ICML, 2024)

Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks. - Victor Boutin; Rishav Mukherji; Aditya Agrawal; Sabine Muzellec; Thomas Fel; Thomas Serre; Rufin VanRullen (NeurIPS, 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)

ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. - Antonin Poché; Alon Jacovi; Agustin Martin Picard; Victor Boutin; Fanny Jourdan (ACL (1), 2025)

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. - Thomas Fel; Ekdeep Singh Lubana; Jacob S. Prince; Matthew Kowal; Victor Boutin; Isabel Papadimitriou; Binxu Wang; Martin Wattenberg; Demba E. Ba; Talia Konkle (CoRR, 2025)

Deep Sturm-Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions. - David Vigouroux; Joseba Dalmau; Louis Béthune; Victor Boutin (CoRR, 2025)

Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models. - Louis Béthune; David Vigouroux; Yilun Du; Rufin VanRullen; Thomas Serre; Victor Boutin (CoRR, 2025)