Thomas Serre
Brown University
H-index: 46
North America-United States
Top articles of Thomas Serre
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Learning Functional Transduction | Advances in Neural Information Processing Systems | Mathieu Chalvidal Thomas Serre Rufin VanRullen | 2024/2/13 |
Computing a human-like reaction time metric from stable recurrent vision models | Advances in Neural Information Processing Systems | Lore Goetschalckx Lakshmi Narasimhan Govindarajan Alekh Karkada Ashok Aarit Ahuja David Sheinberg | 2024/2/13 |
A holistic approach to unifying automatic concept extraction and concept importance estimation | Advances in Neural Information Processing Systems | Thomas Fel Victor Boutin Louis Béthune Rémi Cadène Mazda Moayeri | 2024/2/13 |
Unlocking feature visualization for deep network with MAgnitude constrained optimization | Advances in Neural Information Processing Systems | Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello | 2024/2/13 |
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex | Advances in Neural Information Processing Systems | Drew Linsley Ivan F Rodriguez Rodriguez Thomas Fel Michael Arcaro Saloni Sharma | 2024/2/13 |
Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function. | Journal of Vision | Ivan Felipe Rodriguez Drew Linsley Jay Gopal Thomas Fel Michael J Acaro | 2023/8/1 |
Fixing the problems of deep neural networks will require better training data and learning algorithms | arXiv preprint arXiv:2311.12819 | Drew Linsley Thomas Serre | 2023/9/26 |
Craft: Concept recursive activation factorization for explainability | Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux | 2023 | |
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning | arXiv preprint arXiv:2309.13181 | Lakshmi Narasimhan Govindarajan Rex G Liu Drew Linsley Alekh Karkada Ashok Max Reuter | 2023/9/22 |
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis | Thomas Fel Mélanie Ducoffe David Vigouroux Rémi Cadène Mikael Capelle | 2023 | |
A neural network model of category-learning induced transfer of visual perceptual learning | Journal of Vision | Luke Rosedahl Thomas Serre Takeo Watanabe | 2023/8/1 |
Break it down: Evidence for structural compositionality in neural networks | Advances in Neural Information Processing Systems | Michael Lepori Thomas Serre Ellie Pavlick | 2023/12/15 |
Categorizing Dog’s Real World Visual Environment | Madeline H Pelgrim Shreyas Sundara Raman Thomas Serre Daphna Buchsbaum | 2023/9 | |
Gradient strikes back: How filtering out high frequencies improves explanations | arXiv preprint arXiv:2307.09591 | Sabine Muzellec Leo Andeol Thomas Fel Rufin VanRullen Thomas Serre | 2023/7/18 |
Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs | arXiv preprint arXiv:2311.11988 | Shreyas Sundara Raman Madeline H Pelgrim Daphna Buchsbaum Thomas Serre | 2023/11/20 |
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception | arXiv preprint arXiv:2306.03229 | Drew Linsley Pinyuan Feng Thibaut Boissin Alekh Karkada Ashok Thomas Fel | 2023/6/5 |
NeuroSurgeon: A toolkit for subnetwork analysis | arXiv preprint arXiv:2309.00244 | Michael A Lepori Ellie Pavlick Thomas Serre | 2023/9/1 |
Uncovering Causal Variables in Transformers using Circuit Probing | arXiv preprint arXiv:2311.04354 | Michael A Lepori Thomas Serre Ellie Pavlick | 2023/11/7 |
Cerebrospinal fluid transcripts may predict shunt surgery responses in normal pressure hydrocephalus | Brain | Zachary Levin Owen P Leary Victor Mora Shawn Kant Sarah Brown | 2023/9 |
Diffusion models as artists: are we closing the gap between humans and machines? | arXiv preprint arXiv:2301.11722 | Victor Boutin Thomas Fel Lakshya Singhal Rishav Mukherji Akash Nagaraj | 2023/1/27 |
Co-Authors
