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T. Serre

  1. Neuronal Synchrony in Complex-Valued Deep Networks
    2013/12/20 by David Reichert, David P. Reichert, Thomas Serre +3 · 12 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Neuroscience and Neural Engineering #cs.LG #cs.NE #q-bio.NC #stat.ML
  2. A Benchmark for Compositional Visual Reasoning
    2022/06/11 by Aimen Zerroug, Zerroug, Aimen, Mohit Vaishnav +7 · 15 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection
  3. What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
    2021/12/06 by Julien Colin, Thomas Fel, Colin, Julien +5 · 12 citations
    Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  4. Break It Down: Evidence for Structural Compositionality in Neural Networks
    2023/01/26 by Michael A. Lepori, T. Serre, Lepori, Michael A. +3 · 11 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
  5. Learning long-range spatial dependencies with horizontal gated-recurrent\n units
    2018/05/21 by Drew Linsley, Linsley, Drew, Junkyung Kim +5 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Medical Image Segmentation Techniques
  6. Harmonizing the object recognition strategies of deep neural networks with humans
    2022/11/08 by Thomas Fel, Iván Felipe, Fel, Thomas +5 · 7 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Visual Attention and Saliency Detection
  7. Stable and expressive recurrent vision models
    2020/05/22 by Drew Linsley, Alekh Karkada Ashok, Linsley, Drew +7 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Generative Adversarial Networks and Image Synthesis #Advanced Vision and Imaging
  8. An end-to-end generative framework for video segmentation and\n recognition
    2015/09/07 by Hilde Kuehne, Kuehne, Hilde, Jüergen Gall +3 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Video Analysis and Summarization #Video Surveillance and Tracking Methods
  9. Saliency strikes back: How filtering out high frequencies improves white-box explanations
    2023/07/18 by Sabine Muzellec, Muzellec, Sabine, Thomas Fel +9 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management
  10. KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
    2021/05/06 by Matthew Ricci, Ricci, Matthew, Minju Jung +9 · 3 citations
    Computer Science · Engineering · Neuroscience · #Adaptation and Self-Organizing Systems (nlin.AO) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Nonlinear Dynamics and Pattern Formation #Slime Mold and Myxomycetes Research
  11. Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
    2023/01/27 by Victor Boutin, Boutin, Victor, Thomas Fel +11 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Generative Adversarial Networks and Image Synthesis #Human-Computer Interaction (cs.HC)
  12. Recurrent neural circuits for contour detection
    2020/10/29 by Drew Linsley, Junkyung Kim, Linsley, Drew +5 · 3 citations
    Chemistry · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Spectroscopy and Chemometric Analyses
  13. Diversity vs. Recognizability: Human-like generalization in one-shot generative models
    2022/05/20 by Victor Boutin, Boutin, Victor, Lakshya Singhal +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  14. Computing a human-like reaction time metric from stable recurrent vision models
    2023/06/20 by Lore Goetschalckx, Goetschalckx, Lore, Lakshmi Narasimhan Govindarajan +9 · 3 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face Recognition and Perception #Neural dynamics and brain function #Visual perception and processing mechanisms
  15. Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
    2023/06/05 by Drew Linsley, Linsley, Drew, Pinyuan Feng +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis
  16. Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
    2025/07/16 by Michael A. Lepori, Jennifer Hu, Lepori, Michael A. +10 · 1 voice · 2 citations
    Computer Science · #Topic Modeling
  17. Same-different problems strain convolutional neural networks
    2018/02/09 by Matthew Ricci, Ricci, Matthew, Junkyung Kim +3 · 1 citation
    Engineering · #Advanced Sensor and Control Systems #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Industrial Technology and Control Systems #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
  18. Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
    2024/06/10 by Victor Boutin, Boutin, Victor, Rishav Mukherji +12 · 1 voice · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Topic Modeling #cs.CV
  19. Learning what and where to attend
    2018/05/22 by Drew Linsley, Dan Shiebler, Linsley, Drew +5 · 1 citation
    Computer Science · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face Recognition and Perception #Visual Attention and Saliency Detection
  20. Meta-Reinforcement Learning with Self-Modifying Networks
    2022/02/04 by Mathieu Chalvidal, T. Serre, Chalvidal, Mathieu +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
  21. Choosing the right basis for interpretability: Psychophysical comparison between neuron-based and dictionary-based representations
    2024/11/06 by Julien Colin, Colin, Julien, Lore Goetschalckx +10 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  22. Uncovering Intermediate Variables in Transformers using Circuit Probing
    2023/11/07 by Michael A. Lepori, Lepori, Michael A., T. Serre +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling