François Fleuret
- Transformers are Sample-Efficient World Models
2022/09/01 by Vincent Micheli, Eloi Alonso, Micheli, Vincent +3 · 2 voices · 58 citations
Computer Science · #Data Stream Mining Techniques #Machine Learning and Data Classification #Reinforcement Learning in Robotics #cs.AI #cs.CV #cs.LG
- Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
2020/06/29 by Angelos Katharopoulos, Katharopoulos, Angelos, Apoorv Vyas +5 · 2 voices · 253 citations
Computer Science · #Advanced Neural Network Applications #Neural Networks and Applications #Neural Networks and Reservoir Computing #Topic Modeling #cs.LG #stat.ML
- σ-GPTs: A New Approach to Autoregressive Models
2024/04/15 by Arnaud Pannatier, Evann Courdier, Pannatier, Arnaud +3 · 3 voices · 10 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
2024/02/04 by Matteo Pagliardini, Amirkeivan Mohtashami, Pagliardini, Matteo +6 · 1 voice · 13 citations
Computer Science · #Neural Networks and Applications
- Diffusion for World Modeling: Visual Details Matter in Atari
2024/05/20 by Eloi Alonso, Alonso, Eloi, Adam Jelley +11 · 1 voice · 66 citations
Computer Science · #Data Visualization and Analytics #Artificial Intelligence in Games
- Not All Samples Are Created Equal: Deep Learning with Importance Sampling
2018/03/02 by Angelos Katharopoulos, François Fleuret, Katharopoulos, Angelos +1 · 35 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
- Full-Gradient Representation for Neural Network Visualization
2019/05/02 by Suraj Srinivas, Srinivas, Suraj, François Fleuret +1 · 22 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques
- ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
2022/11/21 by Mohammad Mahdi Johari, Camilla Carta, Johari, Mohammad Mahdi +3 · 26 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
- GeoNeRF: Generalizing NeRF with Geometry Priors
2021/11/26 by Mohammad Mahdi Johari, Johari, Mohammad Mahdi, Yann Lepoittevin +3 · 15 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Localizing Task Information for Improved Model Merging and Compression
2024/05/13 by Ke Wang, Nikolaos Dimitriadis, Wang, Ke +7 · 22 citations
Computer Science · #Neural Networks and Applications #Advanced Data Compression Techniques #Parallel Computing and Optimization Techniques
- Deep Multi-camera People Detection
2017/02/15 by Tatjana Chavdarova, François Fleuret, Chavdarova, Tatjana +1 · 6 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Video Surveillance and Tracking Methods
- Biased Importance Sampling for Deep Neural Network Training
2017/05/31 by Angelos Katharopoulos, François Fleuret, Katharopoulos, Angelos +1 · 7 citations
Computer Science · #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
- Fast Transformers with Clustered Attention
2020/07/09 by Apoorv Vyas, Angelos Katharopoulos, Vyas, Apoorv +3 · 6 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Learning Interpolations between Boltzmann Densities
2023/01/18 by Bálint Máté, François Fleuret, Máté, Bálint +1 · 7 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistical Mechanics and Entropy
- Occam's hammer: a link between randomized learning and multiple testing FDR control
2006/08/29 by Gilles Blanchard, François Fleuret, Blanchard, Gilles +1 · 3 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference #Statistics Theory (math.ST)
- Efficient World Models with Context-Aware Tokenization
2024/06/27 by Vincent Micheli, Micheli, Vincent, Eloi Alonso +3 · 10 citations
Computer Science · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Management and Algorithms #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
- Agree to Disagree: Diversity through Disagreement for Better Transferability
2022/02/09 by Matteo Pagliardini, Pagliardini, Matteo, Martin Jaggi +5 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Reducing Noise in GAN Training with Variance Reduced Extragradient
2019/04/18 by Tatjana Chavdarova, Gauthier Gidel, Chavdarova, Tatjana +5 · 4 citations
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- The WILDTRACK Multi-Camera Person Dataset
2017/07/28 by Tatjana Chavdarova, Chavdarova, Tatjana, Pierre Baqué +15 · 3 citations
Computer Science · Engineering · #Video Surveillance and Tracking Methods #Human Pose and Action Recognition #Autonomous Vehicle Technology and Safety
- Practical Deep Stereo (PDS): Toward applications-friendly deep stereo\n matching
2018/06/05 by Stepan Tulyakov, Tulyakov, Stepan, A. B. Ivanov +3 · 7 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Neural and Evolutionary Computing (cs.NE) #Robotics and Sensor-Based Localization
- The Free Transformer
2025/10/20 by François Fleuret, Fleuret, François · 3 voices
#cs.LG
- MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
2022/02/17 by Anssi Kanervisto, Stephanie Milani, Kanervisto, Anssi +40 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
2022/10/18 by Nikolaos Dimitriadis, Dimitriadis, Nikolaos, Pascal Frossard +3 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- Principled Parallel Mean-Field Inference for Discrete Random Fields
2015/11/19 by Pierre Baqué, Baqué, Pierre, Timur Bagautdinov +5 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
- Solvation free energies from neural thermodynamic integration
2024/10/21 by Bálint Máté, François Fleuret, Tristan Bereau · 1 voice · 2 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Engineering · #Protein Structure and Dynamics #Machine Learning in Materials Science #Phase Equilibria and Thermodynamics
- Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability
2020/06/16 by Suraj Srinivas, François Fleuret, Srinivas, Suraj +1 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Leveraging the true depth of LLMs
2025/02/05 by Ramón Calvo González, González, Ramón Calvo, Daniele Paliotta +7 · 2 voices · 2 citations
#cs.LG #cs.CL
- Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
2024/06/04 by Bálint Máté, François Fleuret, Tristan Bereau · 1 voice
Physics and Astronomy · Computer Science · #cond-mat.stat-mech #cs.LG
- Faster Causal Attention Over Large Sequences Through Sparse Flash Attention
2023/06/01 by Matteo Pagliardini, Daniele Paliotta, Pagliardini, Matteo +5 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Domain Adaptation and Few-Shot Learning
- PAUMER: Patch Pausing Transformer for Semantic Segmentation
2023/11/01 by Evann Courdier, Prabhu Teja Sivaprasad, Courdier, Evann +3 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection
- Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
2024/07/10 by Nikolaos Dimitriadis, Pascal Frossard, Dimitriadis, Nikolaos +3 · 1 citation
Computer Science · #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
2026/07/28 by Mingqiao Ye, Zhaochong An, Zhitong Gao +11
#cs.CV #cs.AI #cs.LG