Thomas Serre

According to our database1, Thomas Serre authored at least 86 papers between 2001 and 2023.

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Bibliography

2023
Fixing the problems of deep neural networks will require better training data and learning algorithms.
CoRR, 2023

Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs.
CoRR, 2023

Uncovering Intermediate Variables in Transformers using Circuit Probing.
CoRR, 2023

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning.
CoRR, 2023

NeuroSurgeon: A Toolkit for Subnetwork Analysis.
CoRR, 2023

Gradient strikes back: How filtering out high frequencies improves explanations.
CoRR, 2023

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.
CoRR, 2023

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex.
CoRR, 2023

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception.
CoRR, 2023

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Break It Down: Evidence for Structural Compositionality in Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Computing a human-like reaction time metric from stable recurrent vision models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Functional Transduction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Proceedings of the International Conference on Machine Learning, 2023

GAMR: A Guided Attention Model for (visual) Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CRAFT: Concept Recursive Activation FacTorization for Explainability.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Understanding the Computational Demands Underlying Visual Reasoning.
Neural Comput., 2022

Harmonizing the object recognition strategies of deep neural networks with humans.
CoRR, 2022

Conviformers: Convolutionally guided Vision Transformer.
CoRR, 2022

MAREO: Memory- and Attention- based visual REasOning.
CoRR, 2022

Xplique: A Deep Learning Explainability Toolbox.
CoRR, 2022

A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning.
CoRR, 2022

How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Benchmark for Compositional Visual Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Harmonizing the object recognition strategies of deep neural networks with humans.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta-Reinforcement Learning with Self-Modifying Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diversity vs. Recognizability: Human-like generalization in one-shot generative models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks.
CoRR, 2021

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize.
CoRR, 2021

Tracking Without Re-recognition in Humans and Machines.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Go with the flow: Adaptive control for Neural ODEs.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Iterative VAE as a predictive brain model for out-of-distribution generalization.
CoRR, 2020

Neural Optimal Control for Representation Learning.
CoRR, 2020

Stable and expressive recurrent vision models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Recurrent neural circuits for contour detection.
Proceedings of the 8th International Conference on Learning Representations, 2020

Disentangling neural mechanisms for perceptual grouping.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning what and where to attend.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks.
CoRR, 2018

Robust pose tracking with a joint model of appearance and shape.
CoRR, 2018

Global-and-local attention networks for visual recognition.
CoRR, 2018

Learning long-range spatial dependencies with horizontal gated-recurrent units.
CoRR, 2018

Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks.
CoRR, 2018

Learning long-range spatial dependencies with horizontal gated recurrent units.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Same-different problems strain convolutional neural networks.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning to predict action potentials end-to-end from calcium imaging data.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017
Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition.
CoRR, 2017

What are the Visual Features Underlying Human Versus Machine Vision?
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Computer vision cracks the leaf code.
Proc. Natl. Acad. Sci. USA, 2016

Fast ventral stream neural activity enables rapid visual categorization.
NeuroImage, 2016

An end-to-end generative framework for video segmentation and recognition.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

How Deep is the Feature Analysis underlying Rapid Visual Categorization?
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual Categorization.
PLoS Comput. Biol., 2015

Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties.
Frontiers Comput. Neurosci., 2015

Towards a generative approach to activity recognition and segmentation.
CoRR, 2015

Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities.
CoRR, 2015

2014
Hierarchical Models of the Visual System.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Neuronal Synchrony in Complex-Valued Deep Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning Sparse Prototypes for Crowd Perception via Ensemble Coding Mechanisms.
Proceedings of the Human Behavior Understanding - 5th International Workshop, 2014

The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Models of visual cortex.
Scholarpedia, 2013

Neural representation of action sequences: how far can a simple snippet-matching model take us?
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
A New Biologically Inspired Color Image Descriptor.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

HMDB: A large video database for human motion recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Attention as a Bayesian inference process.
Proceedings of the Human Vision and Electronic Imaging XVI, 2011

2010
Reading the mind's eye: Decoding category information during mental imagery.
NeuroImage, 2010

A neuromorphic approach to computer vision.
Commun. ACM, 2010

Trainable, vision-based automated home cage behavioral phenotyping.
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research, 2010

The story of a single cell: Peeking into the semantics of spikes.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2007
Robust Object Recognition with Cortex-Like Mechanisms.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Component-based Framework for Face Detection and Identification.
Int. J. Comput. Vis., 2007

A Biologically Inspired System for Action Recognition.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2005
Learning Features of Intermediate Complexity for the Recognition of Biological Motion.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Object Recognition with Features Inspired by Visual Cortex.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Using Component Features for Face Recognition.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

2003
Hierarchical classification and feature reduction for fast face detection with support vector machines.
Pattern Recognit., 2003

2002
On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

2001
Categorization by Learning and Combining Object Parts.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Component-based Face Detection.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001


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