Fleuret, Francois

93 publications

TMLR 2026 Leveraging the True Depth of LLMs Ramón Calvo González, Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret

ICLRW 2025 Leveraging the True Depth of LLMs Ramón Calvo González, Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret

ICLR 2025 LiNeS: Post-Training Layer Scaling Prevents Forgetting and Enhances Model Merging Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard

ICLR 2025 Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis, Pascal Frossard, François Fleuret

ICLRW 2025 Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Li, Aviv Bick, Albert Gu, François Fleuret, Tri Dao

NeurIPS 2024 DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret, Martin Jaggi

NeurIPS 2024 Diffusion for World Modeling: Visual Details Matter in Atari Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret

ICML 2024 Efficient World Models with Context-Aware Tokenization Vincent Micheli, Eloi Alonso, François Fleuret

TMLR 2024 Inference from Real-World Sparse Measurements Arnaud Pannatier, Kyle Matoba, François Fleuret

ICML 2024 Localizing Task Information for Improved Model Merging and Compression Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard

ICLRW 2024 Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-Based Flows Bálint Máté, François Fleuret

ICMLW 2024 Neural Thermodynamic Integration: Free Energies from Energy-Based Diffusion Models Bálint Máté, François Fleuret, Tristan Bereau

ECML-PKDD 2024 Σ-GPTs: A New Approach to Autoregressive Models Arnaud Pannatier, Evann Courdier, François Fleuret

ICLR 2023 Agree to Disagree: Diversity Through Disagreement for Better Transferability Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy

TMLR 2023 Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence Kyle Matoba, Nikolaos Dimitriadis, François Fleuret

ICMLW 2023 DeepEMD: A Transformer-Based Fast Estimation of the Earth Mover's Distance Atul Kumar Sinha, François Fleuret

CVPR 2023 ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields Mohammad Mahdi Johari, Camilla Carta, François Fleuret

NeurIPS 2023 Fast Attention over Long Sequences with Dynamic Sparse Flash Attention Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret

ICMLW 2023 Fast Causal Attention with Dynamic Sparsity Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret

NeurIPSW 2023 Graph Neural Networks Go Forward-Forward Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret

ICLRW 2023 Learning Deformation Trajectories of Boltzmann Densities Bálint Máté, François Fleuret

TMLR 2023 Learning Interpolations Between Boltzmann Densities Bálint Máté, François Fleuret

ICML 2023 Pareto Manifold Learning: Tackling Multiple Tasks via Ensembles of Single-Task Models Nikolaos Dimitriadis, Pascal Frossard, François Fleuret

NeurIPS 2023 SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John Raine, Tobias Golling, François Fleuret

ICMLW 2023 Towards Efficient World Models Eloi Alonso, Vincent Micheli, François Fleuret

ICLR 2023 Transformers Are Sample-Efficient World Models Vincent Micheli, Eloi Alonso, François Fleuret

NeurIPSW 2022 Diversity Through Disagreement for Better Transferability Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy

NeurIPS 2022 Efficient Training of Low-Curvature Neural Networks Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju, François Fleuret

NeurIPS 2022 Flowification: Everything Is a Normalizing Flow Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret

CVPR 2022 GeoNeRF: Generalizing NeRF with Geometry Priors Mohammad Mahdi Johari, Yann Lepoittevin, François Fleuret

NeurIPSW 2022 Transformers Are Sample-Efficient World Models Vincent Micheli, Eloi Alonso, François Fleuret

ICCV 2021 DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation Mohammad Mahdi Johari, Camilla Carta, François Fleuret

ICLR 2021 Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability Suraj Srinivas, Francois Fleuret

ICLR 2021 Taming GANs with Lookahead-Minmax Tatjana Chavdarova, Matteo Pagliardini, Sebastian U Stich, François Fleuret, Martin Jaggi

NeurIPSW 2021 Test Time Adaptation Through Perturbation Robustness Prabhu Teja S, François Fleuret

CVPR 2021 Uncertainty Reduction for Model Adaptation in Semantic Segmentation Prabhu Teja S, Francois Fleuret

NeurIPS 2020 Fast Transformers with Clustered Attention Apoorv Vyas, Angelos Katharopoulos, François Fleuret

ICML 2020 Optimizer Benchmarking Needs to Account for Hyperparameter Tuning Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret

ICML 2020 Transformers Are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret

NeurIPS 2019 Full-Gradient Representation for Neural Network Visualization Suraj Srinivas, François Fleuret

ICML 2019 Processing Megapixel Images with Deep Attention-Sampling Models Angelos Katharopoulos, Francois Fleuret

NeurIPS 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien

ICML 2018 Geodesic Convolutional Shape Optimization Pierre Baque, Edoardo Remelli, Francois Fleuret, Pascal Fua

ICML 2018 Knowledge Transfer with Jacobian Matching Suraj Srinivas, Francois Fleuret

ICML 2018 Kronecker Recurrent Units Cijo Jose, Moustapha Cisse, Francois Fleuret

ICML 2018 Not All Samples Are Created Equal: Deep Learning with Importance Sampling Angelos Katharopoulos, Francois Fleuret

NeurIPS 2018 Practical Deep Stereo (PDS): Toward Applications-Friendly Deep Stereo Matching Stepan Tulyakov, Anton Ivanov, François Fleuret

AISTATS 2017 A Sub-Quadratic Exact Medoid Algorithm James Newling, François Fleuret

ICCV 2017 Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection Pierre Baque, Francois Fleuret, Pascal Fua

NeurIPS 2017 K-Medoids for K-Means Seeding James Newling, François Fleuret

CVPR 2017 Multi-Modal Mean-Fields via Cardinality-Based Clamping Pierre Baque, Francois Fleuret, Pascal Fua

ICCV 2017 Non-Markovian Globally Consistent Multi-Object Tracking Andrii Maksai, Xinchao Wang, Francois Fleuret, Pascal Fua

CVPR 2017 Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition Timur Bagautdinov, Alexandre Alahi, Francois Fleuret, Pascal Fua, Silvio Savarese

ICCV 2017 Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction Stepan Tulyakov, Anton Ivanov, Francois Fleuret

ICML 2016 Fast K-Means with Accurate Bounds James Newling, Francois Fleuret

ICML 2016 Importance Sampling Tree for Large-Scale Empirical Expectation Olivier Canevet, Cijo Jose, Francois Fleuret

JMLR 2016 Jointly Informative Feature Selection Made Tractable by Gaussian Modeling Leonidas Lefakis, François Fleuret

CVPR 2016 Large Scale Hard Sample Mining with Monte Carlo Tree Search Olivier Canevet, Francois Fleuret

NeurIPS 2016 Nested Mini-Batch K-Means James Newling, François Fleuret

CVPR 2016 Principled Parallel Mean-Field Inference for Discrete Random Fields Pierre Baque, Timur Bagautdinov, Francois Fleuret, Pascal Fua

ECCV 2016 Scalable Metric Learning via Weighted Approximate Rank Component Analysis Cijo Jose, François Fleuret

NeurIPS 2015 Kullback-Leibler Proximal Variational Inference Mohammad Emtiyaz Khan, Pierre Baque, François Fleuret, Pascal Fua

CVPR 2015 Probability Occupancy Maps for Occluded Depth Images Timur Bagautdinov, Francois Fleuret, Pascal Fua

JMLR 2014 Adaptive Sampling for Large Scale Boosting Charles Dubout, Francois Fleuret

ICML 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery Leonidas Lefakis, Francois Fleuret

ACML 2014 Efficient Sample Mining for Object Detection Olivier Canevet, Francois Fleuret

AISTATS 2014 Jointly Informative Feature Selection Leonidas Lefakis, François Fleuret

ACML 2014 Sample Distillation for Object Detection and Image Classification Olivier Canevet, Leonidas Lefakis, Francois Fleuret

ECCV 2014 Tracking Interacting Objects Optimally Using Integer Programming Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua

CVPRW 2013 Accelerated Training of Linear Object Detectors Charles Dubout, François Fleuret

CVPR 2013 Fast Object Detection with Entropy-Driven Evaluation Raphael Sznitman, Carlos Becker, Francois Fleuret, Pascal Fua

NeurIPS 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning Leonidas Lefakis, François Fleuret

ECCV 2012 Exact Acceleration of Linear Object Detectors Charles Dubout, François Fleuret

NeurIPS 2011 Boosting with Maximum Adaptive Sampling Charles Dubout, Francois Fleuret

CVPR 2011 FlowBoost - Appearance Learning from Sparsely Annotated Video Karim Ali, David Hasler, François Fleuret

ICCV 2011 HEAT: Iterative Relevance Feedback with One Million Images Nicolae Suditu, François Fleuret

ICCV 2011 Tasting Families of Features for Image Classification Charles Dubout, François Fleuret

ECML-PKDD 2011 The MASH Project François Fleuret, Philip Abbet, Charles Dubout, Leonidas Lefakis

ICCV 2011 Tracking Multiple People Under Global Appearance Constraints Horesh Ben Shitrit, Jérôme Berclaz, François Fleuret, Pascal Fua

CVPR 2010 Delineating Trees in Noisy 2D Images and 3D Image-Stacks Germán González, Engin Türetken, François Fleuret, Pascal Fua

NeurIPS 2010 Joint Cascade Optimization Using a Product of Boosted Classifiers Leonidas Lefakis, Francois Fleuret

ICCV 2009 Joint Pose Estimator and Feature Learning for Object Detection Karim Ali, François Fleuret, David Hasler, Pascal Fua

CVPR 2009 Learning Rotational Features for Filament Detection Germán González, François Fleuret, Pascal Fua

ECCV 2008 Automated Delineation of Dendritic Networks in Noisy Image Stacks Germán González, François Fleuret, Pascal Fua

ECCV 2008 Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps Jérôme Berclaz, François Fleuret, Pascal Fua

JMLR 2008 Stationary Features and Cat Detection François Fleuret, Donald Geman

COLT 2007 Occam's Hammer Gilles Blanchard, François Fleuret

ECCV 2006 Feature Harvesting for Tracking-by-Detection Mustafa Özuysal, Vincent Lepetit, François Fleuret, Pascal Fua

CVPR 2006 Robust People Tracking with Global Trajectory Optimization Jérôme Berclaz, François Fleuret, Pascal Fua

ICCV 2005 Fixed Point Probability Field for Complex Occlusion Handling François Fleuret, Richard Lengagne, Pascal Fua

NeurIPS 2005 Pattern Recognition from One Example by Chopping Francois Fleuret, Gilles Blanchard

JMLR 2004 Fast Binary Feature Selection with Conditional Mutual Information François Fleuret

NeCo 2000 DEA: An Architecture for Goal Planning and Classification François Fleuret, Eric Brunet