Thomas Serre

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 79

Top Venues

CoRR

NeurIPS

ICLR

CVPR

Publications

Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine L. Hermann
Understanding Visual Feature Reliance through the Lens of Complexity. CoRR (2024)
Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid
A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2. CoRR (2024)
Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. CoRR (2024)
Drew Linsley, Peisen Zhou, Alekh Karkada Ashok, Akash Nagaraj, Gaurav Gaonkar, Francis E. Lewis, Zygmunt Pizlo, Thomas Serre
The 3D-PC: a benchmark for visual perspective taking in humans and machines. CoRR (2024)
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)
Drew Linsley, Thomas Serre
Fixing the problems of deep neural networks will require better training data and learning algorithms. CoRR (2023)
Drew Linsley, Ivan Felipe Rodríguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. CoRR (2023)
Thomas Fel, Agustin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadènc, Thomas Serre
CRAFT: Concept Recursive Activation FacTorization for Explainability. CVPR (2023)
Michael A. Lepori, Thomas Serre, Ellie Pavlick
Uncovering Intermediate Variables in Transformers using Circuit Probing. CoRR (2023)
Michael A. Lepori, Thomas Serre, Ellie Pavlick
Break It Down: Evidence for Structural Compositionality in Neural Networks. CoRR (2023)
Mohit Vaishnav, Thomas Serre
GAMR: A Guided Attention Model for (visual) Reasoning. ICLR (2023)
Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David L. Sheinberg, Thomas Serre
Computing a human-like reaction time metric from stable recurrent vision models. NeurIPS (2023)
Drew Linsley, Ivan F. Rodriguez Rodriguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. NeurIPS (2023)
Lakshmi Narasimhan Govindarajan, Rex G. Liu, Drew Linsley, Alekh Karkada Ashok, Max Reuter, Michael J. Frank, Thomas Serre
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning. CoRR (2023)
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)
Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David L. Sheinberg, Thomas Serre
Computing a human-like reaction time metric from stable recurrent vision models. 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? CoRR (2023)
Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
Learning Functional Transduction. CoRR (2023)
Michael A. Lepori, Ellie Pavlick, Thomas Serre
NeuroSurgeon: A Toolkit for Subnetwork Analysis. CoRR (2023)
Shreyas Sundara Raman, Madeline H. Pelgrim, Daphna Buchsbaum, Thomas Serre
Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs. CoRR (2023)
Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
Learning Functional Transduction. NeurIPS (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)
Drew Linsley, Pinyuan Feng, Thibaut Boissin, Alekh Karkada Ashok, Thomas Fel, Stephanie Olaiya, Thomas Serre
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception. CoRR (2023)
Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre
Gradient strikes back: How filtering out high frequencies improves explanations. CoRR (2023)
Michael A. Lepori, Thomas Serre, Ellie Pavlick
Break It Down: Evidence for Structural Compositionality in Neural Networks. NeurIPS (2023)
Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodème, Thomas Serre
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CVPR (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)
Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre
A Benchmark for Compositional Visual Reasoning. NeurIPS (2022)
Thomas Fel, Ivan Felipe Rodríguez, Drew Linsley, Thomas Serre
Harmonizing the object recognition strategies of deep neural networks with humans. CoRR (2022)
Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodeme, Thomas Serre
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CoRR (2022)
Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
Meta-Reinforcement Learning with Self-Modifying Networks. NeurIPS (2022)
Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. 34 (5) (2022)
Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poche, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre
Xplique: A Deep Learning Explainability Toolbox. CoRR (2022)
Amor Ben Tanfous, Aimen Zerroug, Drew Linsley, Thomas Serre
How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition. WACV (2022)
Thomas Fel, Ivan F. Rodriguez Rodriguez, Drew Linsley, Thomas Serre
Harmonizing the object recognition strategies of deep neural networks with humans. NeurIPS (2022)
Julien Colin, Thomas Fel, Rémi Cadène, Thomas Serre
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. NeurIPS (2022)
Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre
A Benchmark for Compositional Visual Reasoning. CoRR (2022)
Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
Diversity vs. Recognizability: Human-like generalization in one-shot generative models. NeurIPS (2022)
Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning. CoRR (2022)
Mohit Vaishnav, Thomas Serre
MAREO: Memory- and Attention- based visual REasOning. CoRR (2022)
Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
Diversity vs. Recognizability: Human-like generalization in one-shot generative models. CoRR (2022)
Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks. WACV (2022)
Thomas Fel, Agustin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
CRAFT: Concept Recursive Activation FacTorization for Explainability. CoRR (2022)
Mohit Vaishnav, Thomas Fel, Ivan Felipe Rodríguez, Thomas Serre
Conviformers: Convolutionally guided Vision Transformer. CoRR (2022)
Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. CoRR (2021)
Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
Tracking Without Re-recognition in Humans and Machines. NeurIPS (2021)
Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. NeurIPS (2021)
Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
Tracking Without Re-recognition in Humans and Machines. CoRR (2021)
Girik Malik, Drew Linsley, Thomas Serre, Ennio Mingolla
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks. CoRR (2021)
Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre
Go with the flow: Adaptive control for Neural ODEs. ICLR (2021)
Thomas Fel, Julien Colin, Rémi Cadène, Thomas Serre
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. CoRR (2021)
Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. CoRR (2021)
Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
Understanding the computational demands underlying visual reasoning. CoRR (2021)
Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre
Iterative VAE as a predictive brain model for out-of-distribution generalization. CoRR (2020)
Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre
Disentangling neural mechanisms for perceptual grouping. ICLR (2020)
Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre
Neural Optimal Control for Representation Learning. CoRR (2020)
Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex Liu, Thomas Serre
Stable and expressive recurrent vision models. CoRR (2020)
Drew Linsley, Junkyung Kim, Alekh Ashok, Thomas Serre
Recurrent neural circuits for contour detection. ICLR (2020)
Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex Liu, Thomas Serre
Stable and expressive recurrent vision models. NeurIPS (2020)
Drew Linsley, Junkyung Kim, Alekh Ashok, Thomas Serre
Recurrent neural circuits for contour detection. CoRR (2020)
Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre
Disentangling neural mechanisms for perceptual grouping. CoRR (2019)
Drew Linsley, Dan Shiebler, Sven Eberhardt, Thomas Serre
Learning what and where to attend. ICLR (Poster) (2019)
Drew Linsley, Junkyung Kim, David Berson, Thomas Serre
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks. CoRR (2018)
Drew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre
Learning long-range spatial dependencies with horizontal gated-recurrent units. CoRR (2018)
Yuliang Guo, Lakshmi Narasimhan Govindarajan, Benjamin B. Kimia, Thomas Serre
Robust pose tracking with a joint model of appearance and shape. CoRR (2018)
Matthew Ricci, Junkyung Kim, Thomas Serre
Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks. CoRR (2018)
Matthew Ricci, Junkyung Kim, Thomas Serre
Same-different problems strain convolutional neural networks. CogSci (2018)
Drew Linsley, Jeremy W. Linsley, Tarun Sharma, Nathan Meyers, Thomas Serre
Learning to predict action potentials end-to-end from calcium imaging data. CISS (2018)
Drew Linsley, Junkyung Kim, Vijay Veerabadran, Charles Windolf, Thomas Serre
Learning long-range spatial dependencies with horizontal gated recurrent units. NeurIPS (2018)
Drew Linsley, Dan Scheibler, Sven Eberhardt, Thomas Serre
Global-and-local attention networks for visual recognition. CoRR (2018)
Drew Linsley, Sven Eberhardt, Tarun Sharma, Pankaj Gupta, Thomas Serre
Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition. CoRR (2017)
Drew Linsley, Sven Eberhardt, T. Sharma, P. Gupta, Thomas Serre
What are the Visual Features Underlying Human Versus Machine Vision? ICCV Workshops (2017)
Maxime Cauchoix, Sébastien M. Crouzet, Denis Fize, Thomas Serre
Fast ventral stream neural activity enables rapid visual categorization. NeuroImage 125 (2016)
Sven Eberhardt, Jonah G. Cader, Thomas Serre
How Deep is the Feature Analysis underlying Rapid Visual Categorization? NIPS (2016)
Sven Eberhardt, Jonah Cader, Thomas Serre
How Deep is the Feature Analysis underlying Rapid Visual Categorization? CoRR (2016)
Peter Wilf, Shengping Zhang, Sharat Chikkerur, Stefan A. Little, Scott L. Wing, Thomas Serre
Computer vision cracks the leaf code. Proc. Natl. Acad. Sci. USA 113 (12) (2016)
Hilde Kuehne, Juergen Gall, Thomas Serre
An end-to-end generative framework for video segmentation and recognition. WACV (2016)
Hilde Kuehne, Thomas Serre
Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities. CoRR (2015)
Sarah M. Parker, Thomas Serre
Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties. Frontiers Comput. Neurosci. 9 (2015)
Imri Sofer, Sébastien M. Crouzet, Thomas Serre
Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual Categorization. PLoS Comput. Biol. 11 (9) (2015)
Hilde Kuehne, Thomas Serre
Towards a generative approach to activity recognition and segmentation. CoRR (2015)
David P. Reichert, Thomas Serre
Neuronal Synchrony in Complex-Valued Deep Networks. ICLR (Poster) (2014)
Hilde Kuehne, Ali Bilgin Arslan, Thomas Serre
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities. CVPR (2014)
Yanhao Zhang, Shengping Zhang, Qingming Huang, Thomas Serre
Learning Sparse Prototypes for Crowd Perception via Ensemble Coding Mechanisms. HBU (2014)
Tomaso A. Poggio, Thomas Serre
Models of visual cortex. Scholarpedia 8 (4) (2013)
Cheston Tan, Jedediah M. Singer, Thomas Serre, David Sheinberg, Tomaso A. Poggio
Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS (2013)
Jun Zhang, Youssef Barhomi, Thomas Serre
A New Biologically Inspired Color Image Descriptor. ECCV (5) (2012)
Maxime Cauchoix, Ali Bilgin Arslan, Denis Fize, Thomas Serre
The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques. MLINI (2011)
Sharat Chikkerur, Thomas Serre, Cheston Tan, Tomaso A. Poggio
Attention as a Bayesian inference process. Human Vision and Electronic Imaging (2011)
Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso A. Poggio, Thomas Serre
HMDB: A large video database for human motion recognition. ICCV (2011)
Roi Kliper, Thomas Serre, Daphna Weinshall, Israel Nelken
The story of a single cell: Peeking into the semantics of spikes. CIP (2010)
Leila Reddy, Naotsugu Tsuchiya, Thomas Serre
Reading the mind's eye: Decoding category information during mental imagery. NeuroImage 50 (2) (2010)
Thomas Serre, Tomaso A. Poggio
A neuromorphic approach to computer vision. Commun. ACM 53 (10) (2010)
Hueihan Jhuang, Estíbaliz Garrote, Nicholas Edelman, Tomaso A. Poggio, Andrew Steele, Thomas Serre
Trainable, vision-based automated home cage behavioral phenotyping. MB (2010)
Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso A. Poggio
A Biologically Inspired System for Action Recognition. ICCV (2007)
Bernd Heisele, Thomas Serre, Tomaso A. Poggio
A Component-based Framework for Face Detection and Identification. Int. J. Comput. Vis. 74 (2) (2007)
Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maximilian Riesenhuber, Tomaso A. Poggio
Robust Object Recognition with Cortex-Like Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 29 (3) (2007)
Thomas Serre, Lior Wolf, Tomaso A. Poggio
Object Recognition with Features Inspired by Visual Cortex. CVPR (2) (2005)

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Publication Activity (10 Years)

Top Topics

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Thomas Serre