DEA: An Architecture for Goal Planning and Classification. - François Fleuret; Eric Brunet (Neural Comput., 2000)

Coarse-to-Fine Face Detection. - François Fleuret; Donald Geman (Int. J. Comput. Vis., 2001)

Theoretical properties of functional Multi Layer Perceptrons. - Fabrice Rossi; Brieuc Conan-Guez; François Fleuret (ESANN, 2002)

Fast Face Detection with Precise Pose Estimation. - François Fleuret; Donald Geman (ICPR (1), 2002)

Non-Mercer Kernels for SVM Object Recognition. - Sabri Boughorbel; Jean-Philippe Tarel; François Fleuret (BMVC, 2004)

Automatic textual annotation of video news based on semantic visual object extraction. - Nozha Boujemaa; François Fleuret; Valérie Gouet; Hichem Sahbi (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Fast Binary Feature Selection with Conditional Mutual Information. - François Fleuret (J. Mach. Learn. Res., 2004)

Classifier-based Contour Tracking for Rigid and Deformable Objects. - Ali Shahrokni; François Fleuret; Pascal Fua (BMVC, 2005)

The GCS Kernel for SVM-Based Image Recognition. - Sabri Boughorbel; Jean-Philippe Tarel; François Fleuret; Nozha Boujemaa (ICANN (2), 2005)

Fixed Point Probability Field for Complex Occlusion Handling. - François Fleuret; Richard Lengagne; Pascal Fua (ICCV, 2005)

A Bayesian kernel for the prediction of neuron properties from binary gene profiles. - François Fleuret; Wulfram Gerstner (ICMLA, 2005)

Pattern Recognition from One Example by Chopping. - François Fleuret; Gilles Blanchard (NIPS, 2005)

Robust People Tracking with Global Trajectory Optimization. - Jérôme Berclaz; François Fleuret; Pascal Fua (CVPR (1), 2006)

Feature Harvesting for Tracking-by-Detection. - Mustafa Özuysal; Vincent Lepetit; François Fleuret; Pascal Fua (ECCV (3), 2006)

Occam's hammer: a link between randomized learning and multiple testing FDR control - Gilles Blanchard; François Fleuret (CoRR, 2006)

Robust Multi-View Change Detection. - Alessandro Lanza; Luigi Di Stefano; Jérôme Berclaz; François Fleuret; Pascal Fua (BMVC, 2007)

Occam's Hammer. - Gilles Blanchard; François Fleuret (COLT, 2007)

Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps. - Jérôme Berclaz; François Fleuret; Pascal Fua (ECCV (3), 2008)

Automated Delineation of Dendritic Networks in Noisy Image Stacks. - Germán González; François Fleuret; Pascal Fua (ECCV (4), 2008)

Principled Detection-by-Classification From Multiple Views. - Jérôme Berclaz; François Fleuret; Pascal Fua (VISAPP (2), 2008)

Multicamera People Tracking with a Probabilistic Occupancy Map. - François Fleuret; Jérôme Berclaz; Richard Lengagne; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Learning rotational features for filament detection. - Germán González; François Fleuret; Pascal Fua (CVPR, 2009)

Joint pose estimator and feature learning for object detection. - Karim Ali 002; François Fleuret; David Hasler; Pascal Fua (ICCV, 2009)

Steerable Features for Statistical 3D Dendrite Detection. - Germán González; François Aguet; François Fleuret; Michael Unser; Pascal Fua (MICCAI (1), 2009)

Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation. - Ali Shahrokni; Tom Drummond; François Fleuret; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Multi-layer boosting for pattern recognition. - François Fleuret (Pattern Recognit. Lett., 2009)

Delineating trees in noisy 2D images and 3D image-stacks. - Germán González; Engin Türetken; François Fleuret; Pascal Fua (CVPR, 2010)

Joint Cascade Optimization Using A Product Of Boosted Classifiers. - Leonidas Lefakis; François Fleuret (NIPS, 2010)

FlowBoost - Appearance learning from sparsely annotated video. - Karim Ali 002; David Hasler; François Fleuret (CVPR, 2011)

Tasting families of features for image classification. - Charles Dubout; François Fleuret (ICCV, 2011)

Tracking multiple people under global appearance constraints. - Horesh Ben Shitrit; Jérôme Berclaz; François Fleuret; Pascal Fua (ICCV, 2011)

HEAT: Iterative relevance feedback with one million images. - Nicolae Suditu; François Fleuret (ICCV, 2011)

Boosting with Maximum Adaptive Sampling. - Charles Dubout; François Fleuret (NIPS, 2011)

The MASH Project. - François Fleuret; Philip Abbet; Charles Dubout; Leonidas Lefakis (ECML/PKDD (3), 2011)

Multiple Object Tracking Using K-Shortest Paths Optimization. - Jérôme Berclaz; François Fleuret; Engin Türetken; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Comparing machines and humans on a visual categorization test. - François Fleuret; Ting Li; Charles Dubout; Emma K. Wampler; Steven Yantis; Donald Geman (Proc. Natl. Acad. Sci. USA, 2011)

Iterative relevance feedback with adaptive exploration/exploitation trade-off. - Nicolae Suditu; François Fleuret (CIKM, 2012)

Exact Acceleration of Linear Object Detectors. - Charles Dubout; François Fleuret (ECCV (3), 2012)

A tree-based distance between distributions: Application to classification of neurons. - Riwal Lefort; François Fleuret (ICASSP, 2012)

Macro-action Discovery Based on Change Point Detection and Boosting. - Leonidas Lefakis; François Fleuret (ICMLA (1), 2012)

A Real-Time Deformable Detector. - Karim Ali 002; François Fleuret; David Hasler; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Deformable Part Models with Individual Part Scaling. - Charles Dubout; François Fleuret (BMVC, 2013)

Accelerated Training of Linear Object Detectors. - Charles Dubout; François Fleuret (CVPR Workshops, 2013)

Fast Object Detection with Entropy-Driven Evaluation. - Raphael Sznitman; Carlos J. Becker; François Fleuret; Pascal Fua (CVPR, 2013)

Reservoir Boosting : Between Online and Offline Ensemble Learning. - Leonidas Lefakis; François Fleuret (NIPS, 2013)

treeKL: A distance between high dimension empirical distributions. - Riwal Lefort; François Fleuret (Pattern Recognit. Lett., 2013)

LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images. - Adrián Peñate Sánchez; Francesc Moreno-Noguer; Juan Andrade-Cetto; François Fleuret (3DV, 2014)

Efficient Sample Mining for Object Detection. - Olivier Canévet; François Fleuret (ACML, 2014)

Sample Distillation for Object Detection and Image Classification. - Olivier Canévet; Leonidas Lefakis; François Fleuret (ACML, 2014)

Jointly Informative Feature Selection. - Leonidas Lefakis; François Fleuret (AISTATS, 2014)

Tracking Interacting Objects Optimally Using Integer Programming. - Xinchao Wang; Engin Türetken; François Fleuret; Pascal Fua (ECCV (1), 2014)

Dynamic Programming Boosting for Discriminative Macro-Action Discovery. - Leonidas Lefakis; François Fleuret (ICML, 2014)

Adaptive sampling for large scale boosting. - Charles Dubout; François Fleuret (J. Mach. Learn. Res., 2014)

Multi-Commodity Network Flow for Tracking Multiple People. - Horesh Ben Shitrit; Jérôme Berclaz; François Fleuret; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Re-identification for Improved People Tracking. - François Fleuret; Horesh Ben Shitrit; Pascal Fua (Person Re-Identification, 2014)

Probability occupancy maps for occluded depth images. - Timur M. Bagautdinov; François Fleuret; Pascal Fua (CVPR, 2015)

Kullback-Leibler Proximal Variational Inference. - Mohammad E. Khan; Pierre Baqué; François Fleuret; Pascal Fua (NIPS, 2015)

A provably convergent alternating minimization method for mean field inference. - Pierre Baqué; Jean-Hubert Hours; François Fleuret; Pascal Fua (CoRR, 2015)

Principled Parallel Mean-Field Inference for Discrete Random Fields. - Pierre Baqué; Timur M. Bagautdinov; François Fleuret; Pascal Fua (CVPR, 2016)

Large Scale Hard Sample Mining with Monte Carlo Tree Search. - Olivier Canévet; François Fleuret (CVPR, 2016)

Scalable Metric Learning via Weighted Approximate Rank Component Analysis. - Cijo Jose; François Fleuret (ECCV (5), 2016)

Importance Sampling Tree for Large-scale Empirical Expectation. - Olivier Canévet; Cijo Jose; François Fleuret (ICML, 2016)

Fast k-means with accurate bounds. - James Newling; François Fleuret (ICML, 2016)

Nested Mini-Batch K-Means. - James Newling; François Fleuret (NIPS, 2016)

Predicting the dynamics of 2d objects with a deep residual network. - François Fleuret (CoRR, 2016)

Globally Consistent Multi-People Tracking using Motion Patterns. - Andrii Maksai; Xinchao Wang; François Fleuret; Pascal Fua (CoRR, 2016)

Turbocharging Mini-Batch K-Means. - James Newling; François Fleuret (CoRR, 2016)

Semi-supervised learning of deep metrics for stereo reconstruction. - Stepan Tulyakov; Anton Ivanov; François Fleuret (CoRR, 2016)

Jointly Informative Feature Selection Made Tractable by Gaussian Modeling. - Leonidas Lefakis; François Fleuret (J. Mach. Learn. Res., 2016)

Adaptive relevance feedback for large-scale image retrieval. - Nicolae Suditu; François Fleuret (Multim. Tools Appl., 2016)

Tracking Interacting Objects Using Intertwined Flows. - Xinchao Wang; Engin Türetken; François Fleuret; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Sub-Quadratic Exact Medoid Algorithm. - James Newling; François Fleuret (AISTATS, 2017)

Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition. - Timur M. Bagautdinov; Alexandre Alahi; François Fleuret; Pascal Fua; Silvio Savarese (CVPR, 2017)

Multi-modal Mean-Fields via Cardinality-Based Clamping. - Pierre Baqué; François Fleuret; Pascal Fua (CVPR, 2017)

Deep Occlusion Reasoning for Multi-camera Multi-target Detection. - Pierre Baqué; François Fleuret; Pascal Fua (ICCV, 2017)

Non-Markovian Globally Consistent Multi-object Tracking. - Andrii Maksai; Xinchao Wang; François Fleuret; Pascal Fua (ICCV, 2017)

Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction. - Stepan Tulyakov; Anton Ivanov; François Fleuret (ICCV, 2017)

Deep Multi-camera People Detection. - Tatjana Chavdarova; François Fleuret (ICMLA, 2017)

Boosted Exudate Segmentation in Retinal Images Using Residual Nets. - Samaneh Abbasi-Sureshjani; Behdad Dashtbozorg; Bart M. ter Haar Romeny; François Fleuret (FIFI/OMIA@MICCAI, 2017)

K-Medoids For K-Means Seeding. - James Newling; François Fleuret (NIPS, 2017)

The WILDTRACK Multi-Camera Person Dataset. - Tatjana Chavdarova; Pierre Baqué; Stéphane Bouquet; Andrii Maksai; Cijo Jose; Louis Lettry; Pascal Fua; Luc Van Gool; François Fleuret (CoRR, 2017)

Biased Importance Sampling for Deep Neural Network Training. - Angelos Katharopoulos; François Fleuret (CoRR, 2017)

Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter. - Stepan Tulyakov; Anton Ivanov; Nicolas Thomas 001; Victoria Roloff; Antoine Pommerol; Gabriele Cremonese; Thomas Weigel; François Fleuret (CoRR, 2017)

Machine learning-based tools to model and to remove the off-target effect. - Riwal Lefort; Ludovico Fusco; Olivier Pertz; François Fleuret (Pattern Anal. Appl., 2017)

WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. - Tatjana Chavdarova; Pierre Baqué; Stéphane Bouquet; Andrii Maksai; Cijo Jose; Timur M. Bagautdinov; Louis Lettry; Pascal Fua; Luc Van Gool; François Fleuret (CVPR, 2018)

SGAN: An Alternative Training of Generative Adversarial Networks. - Tatjana Chavdarova; François Fleuret (CVPR, 2018)

Geodesic Convolutional Shape Optimization. - Pierre Baqué; Edoardo Remelli; François Fleuret; Pascal Fua (ICML, 2018)

Kronecker Recurrent Units. - Cijo Jose; Moustapha Cissé; François Fleuret (ICML, 2018)

Not All Samples Are Created Equal: Deep Learning with Importance Sampling. - Angelos Katharopoulos; François Fleuret (ICML, 2018)

Knowledge Transfer with Jacobian Matching. - Suraj Srinivas; François Fleuret (ICML, 2018)

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching. - Stepan Tulyakov; Anton Ivanov; François Fleuret (NeurIPS, 2018)

Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. - Stepan Tulyakov; François Fleuret; Martin Kiefel; Peter V. Gehler; Michael Hirsch (ICCV, 2019)

Processing Megapixel Images with Deep Attention-Sampling Models. - Angelos Katharopoulos; François Fleuret (ICML, 2019)

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

Full-Gradient Representation for Neural Network Visualization. - Suraj Srinivas; François Fleuret (NeurIPS, 2019)

Full-Jacobian Representation of Neural Networks. - Suraj Srinivas; François Fleuret (CoRR, 2019)

On the Tunability of Optimizers in Deep Learning. - Prabhu Teja Sivaprasad; Florian Mai; Thijs Vogels; Martin Jaggi; François Fleuret (CoRR, 2019)

Real-Time Segmentation Networks Should be Latency Aware. - Evann Courdier; François Fleuret (ACCV (1), 2020)

On the importance of pre-training data volume for compact language models. - Vincent Micheli; Martin d'Hoffschmidt; François Fleuret (EMNLP (1), 2020)

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. - Angelos Katharopoulos; Apoorv Vyas; Nikolaos Pappas 002; 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)

Fast Transformers with Clustered Attention. - Apoorv Vyas; Angelos Katharopoulos; François Fleuret (NeurIPS, 2020)

Multi-task Reinforcement Learning with a Planning Quasi-Metric. - Vincent Micheli; Karthigan Sinnathamby; François Fleuret (CoRR, 2020)

Fair Latency-Aware Metric for real-time video segmentation networks. - Evann Courdier; François Fleuret (CoRR, 2020)

Gradient Alignment in Deep Neural Networks. - Suraj Srinivas; François Fleuret (CoRR, 2020)

Taming GANs with Lookahead. - Tatjana Chavdarova; Matteo Pagliardini; Martin Jaggi; François Fleuret (CoRR, 2020)

Uncertainty Reduction for Model Adaptation in Semantic Segmentation. - Prabhu Teja Sivaprasad; François Fleuret (CVPR, 2021)

Language Models are Few-Shot Butlers. - Vincent Micheli; François Fleuret (EMNLP (1), 2021)

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

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

Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability. - Suraj Srinivas; François Fleuret (ICLR, 2021)

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. - Anssi Kanervisto; Stephanie Milani; Karolis Ramanauskas; Nicholay Topin; Zichuan Lin; Junyou Li; Jianing Shi; Deheng Ye; Qiang Fu 016; Wei Yang 032; Weijun Hong; Zhongyue Huang; et al. (NeurIPS (Competition and Demos), 2021)

Unsupervised clustering of series using dynamic programming. - Karthigan Sinnathamby; Chang-Yu Hou; Lalitha Venkataramanan; Vasileios-Marios Gkortsas; François Fleuret (CoRR, 2021)

Unsupervised clustering of series using dynamic programming and neural processes. - Karthigan Sinnathamby; Chang-Yu Hou; Lalitha Venkataramanan; Vasileios-Marios Gkortsas; François Fleuret (CoRR, 2021)

Structural analysis of an all-purpose question answering model. - Vincent Micheli; Quentin Heinrich; François Fleuret; Wacim Belblidia (CoRR, 2021)

Priming PCA with EigenGame. - Bálint Máté; François Fleuret (CoRR, 2021)

Test time Adaptation through Perturbation Robustness. - Prabhu Teja Sivaprasad; François Fleuret (CoRR, 2021)

PAUMER: Patch Pausing Transformer for Semantic Segmentation. - Evann Courdier; Prabhu Teja Sivaprasad; François Fleuret (BMVC, 2022)

GeoNeRF: Generalizing NeRF with Geometry Priors. - Mohammad Mahdi Johari; Yann Lepoittevin; François Fleuret (CVPR, 2022)

Borrowing from yourself: Faster future video segmentation with partial channel update. - Evann Courdier; François Fleuret (ICPR, 2022)

Flowification: Everything is a normalizing flow. - Bálint Máté; Samuel Klein; Tobias Golling; François Fleuret (NeurIPS, 2022)

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

Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm. - Arnaud Pannatier; Ricardo Picatoste; François Fleuret (SDM, 2022)

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. - Atul Kumar Sinha; Daniele Paliotta; Bálint Máté; Sebastian Pina-Otey; John A. Raine; Tobias Golling; François Fleuret (CoRR, 2022)

The Theoretical Expressiveness of Maxpooling. - Kyle Matoba; Nikolaos Dimitriadis; François Fleuret (CoRR, 2022)

HyperMixer: An MLP-based Green AI Alternative to Transformers. - Florian Mai; Arnaud Pannatier; Fabio Fehr; Haolin Chen; François Marelli; François Fleuret; James Henderson 001 (CoRR, 2022)

Flatten the Curve: Efficiently Training Low-Curvature Neural Networks. - Suraj Srinivas; Kyle Matoba; Himabindu Lakkaraju; François Fleuret (CoRR, 2022)

Accurate Extrinsic Prediction of Physical Systems Using Transformers. - Arnaud Pannatier; Kyle Matoba; François Fleuret (CoRR, 2022)

Deformation Theory of Boltzmann Distributions. - Bálint Máté; François Fleuret (CoRR, 2022)

HyperMixer: An MLP-based Low Cost Alternative to Transformers. - Florian Mai; Arnaud Pannatier; Fabio Fehr; Haolin Chen; François Marelli; François Fleuret; James Henderson 001 (ACL (1), 2023)

Human control redressed: Comparing AI and human predictability in a real-effort task. - Serhiy Kandul; Vincent Micheli; Juliane Beck; Thomas Burri; François Fleuret; Markus Kneer; Markus Christen (CogSci, 2023)

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

Transformers are Sample-Efficient World Models. - Vincent Micheli; Eloi Alonso; François Fleuret (ICLR, 2023)

Agree to Disagree: Diversity through Disagreement for Better Transferability. - Matteo Pagliardini; Martin Jaggi; François Fleuret; Sai Praneeth Karimireddy (ICLR, 2023)

Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. - Nikolaos Dimitriadis; Pascal Frossard; François Fleuret (ICML, 2023)

Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention. - Matteo Pagliardini; Daniele Paliotta; Martin Jaggi; François Fleuret (NeurIPS, 2023)

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

Learning Deformation Trajectories of Boltzmann Densities. - Bálint Máté; François Fleuret (CoRR, 2023)

Graph Neural Networks Go Forward-Forward. - Daniele Paliotta; Mathieu Alain; Bálint Máté; François Fleuret (CoRR, 2023)

SequeL: A Continual Learning Library in PyTorch and JAX. - Nikolaos Dimitriadis; François Fleuret; Pascal Frossard (CoRR, 2023)

Faster Causal Attention Over Large Sequences Through Sparse Flash Attention. - Matteo Pagliardini; Daniele Paliotta; Martin Jaggi; François Fleuret (CoRR, 2023)

Learning Interpolations between Boltzmann Densities. - Bálint Máté; François Fleuret (Trans. Mach. Learn. Res., 2023)

Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence. - Kyle Matoba; Nikolaos Dimitriadis; François Fleuret (Trans. Mach. Learn. Res., 2023)

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

Localizing Task Information for Improved Model Merging and Compression. - Ke Wang; Nikolaos Dimitriadis; Guillermo Ortiz-Jiménez; François Fleuret; Pascal Frossard (ICML, 2024)

DeepEMD: A Transformer-Based Fast Estimation of the Earth Mover's Distance. - Atul Kumar Sinha; François Fleuret (ICPR (4), 2024)

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

DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging. - Matteo Pagliardini; Amirkeivan Mohtashami; François Fleuret; Martin Jaggi (NeurIPS, 2024)

σ-GPTs: A New Approach to Autoregressive Models. - Arnaud Pannatier; Evann Courdier; François Fleuret (ECML/PKDD (7), 2024)

Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows. - Bálint Máté; François Fleuret (CoRR, 2024)

{ sigma}-GPTs: A New Approach to Autoregressive Models. - Arnaud Pannatier; Evann Courdier; François Fleuret (CoRR, 2024)

Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models. - Bálint Máté; François Fleuret; Tristan Bereau (CoRR, 2024)

Solvation Free Energies from Neural Thermodynamic Integration. - Bálint Máté; François Fleuret; Tristan Bereau (CoRR, 2024)

Inference from Real-World Sparse Measurements. - Arnaud Pannatier; Kyle Matoba; François Fleuret (Trans. Mach. Learn. Res., 2024)

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

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging. - Ke Wang; Nikolaos Dimitriadis; Alessandro Favero; Guillermo Ortiz-Jiménez; François Fleuret; Pascal Frossard (ICLR, 2025)

Leveraging the true depth of LLMs. - Ramón Calvo González; Daniele Paliotta; Matteo Pagliardini; Martin Jaggi; François Fleuret (CoRR, 2025)

Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners. - Daniele Paliotta; Junxiong Wang; Matteo Pagliardini; Kevin Y. Li; Aviv Bick; J. Zico Kolter; Albert Gu; François Fleuret; Tri Dao (CoRR, 2025)

End-to-End Optimal Detector Design with Mutual Information Surrogates. - Kinga Anna Wozniak; Stephen Mulligan; Jan Kieseler; Markus Klute; François Fleuret; Tobias Golling (CoRR, 2025)