Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrançois Fleuret
Person information
- affiliation: EPFL, Idiap Research Institute
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[i59]Bálint Máté, François Fleuret:
Learning Deformation Trajectories of Boltzmann Densities. CoRR abs/2301.07388 (2023)- [i58]Daniele Paliotta, Mathieu Alain, Bálint Máté, François Fleuret:
Graph Neural Networks Go Forward-Forward. CoRR abs/2302.05282 (2023) - [i57]Nikolaos Dimitriadis, François Fleuret, Pascal Frossard:
SequeL: A Continual Learning Library in PyTorch and JAX. CoRR abs/2304.10857 (2023) - 2022
- [c87]Evann Courdier, Prabhu Teja Sivaprasad, François Fleuret:
PAUMER: Patch Pausing Transformer for Semantic Segmentation. BMVC 2022: 737 - [c86]Mohammad Mahdi Johari, Yann Lepoittevin, François Fleuret:
GeoNeRF: Generalizing NeRF with Geometry Priors. CVPR 2022: 18344-18347 - [c85]Evann Courdier, François Fleuret:
Borrowing from yourself: Faster future video segmentation with partial channel update. ICPR 2022: 1-8 - [c84]Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret:
Flowification: Everything is a normalizing flow. NeurIPS 2022 - [c83]Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju, François Fleuret:
Efficient Training of Low-Curvature Neural Networks. NeurIPS 2022 - [c82]Arnaud Pannatier, Ricardo Picatoste, François Fleuret:
Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm. SDM 2022: 325-333 - [i56]Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy:
Agree to Disagree: Diversity through Disagreement for Better Transferability. CoRR abs/2202.04414 (2022) - [i55]Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret:
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. CoRR abs/2202.05012 (2022) - [i54]Evann Courdier, François Fleuret:
Borrowing from yourself: Faster future video segmentation with partial channel update. CoRR abs/2202.05748 (2022) - [i53]Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman:
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR abs/2202.10583 (2022) - [i52]Kyle Matoba, Nikolaos Dimitriadis, François Fleuret:
The Theoretical Expressiveness of Maxpooling. CoRR abs/2203.01016 (2022) - [i51]Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli
, François Fleuret, James Henderson:
HyperMixer: An MLP-based Green AI Alternative to Transformers. CoRR abs/2203.03691 (2022) - [i50]Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret:
Flowification: Everything is a Normalizing Flow. CoRR abs/2205.15209 (2022) - [i49]Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju, François Fleuret:
Flatten the Curve: Efficiently Training Low-Curvature Neural Networks. CoRR abs/2206.07144 (2022) - [i48]Vincent Micheli, Eloi Alonso, François Fleuret:
Transformers are Sample Efficient World Models. CoRR abs/2209.00588 (2022) - [i47]Nikolaos Dimitriadis, Pascal Frossard, François Fleuret:
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. CoRR abs/2210.09759 (2022) - [i46]Arnaud Pannatier, Kyle Matoba, François Fleuret:
Accurate Extrinsic Prediction of Physical Systems Using Transformers. CoRR abs/2210.11269 (2022) - [i45]Bálint Máté, François Fleuret:
Deformation Theory of Boltzmann Distributions. CoRR abs/2210.13772 (2022) - [i44]Mohammad Mahdi Johari, Camilla Carta, François Fleuret:
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields. CoRR abs/2211.11704 (2022) - 2021
- [c81]Prabhu Teja Sivaprasad, François Fleuret:
Uncertainty Reduction for Model Adaptation in Semantic Segmentation. CVPR 2021: 9613-9623 - [c80]Vincent Micheli, François Fleuret:
Language Models are Few-Shot Butlers. EMNLP (1) 2021: 9312-9318 - [c79]Mohammad Mahdi Johari, Camilla Carta, François Fleuret:
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation. ICCV 2021: 6019-6028 - [c78]Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich, François Fleuret, Martin Jaggi:
Taming GANs with Lookahead-Minmax. ICLR 2021 - [c77]Suraj Srinivas, François Fleuret:
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability. ICLR 2021 - [c76]Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman:
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 2021: 13-28 - [i43]Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan, Vasileios-Marios Gkortsas, François Fleuret:
Unsupervised clustering of series using dynamic programming. CoRR abs/2101.09512 (2021) - [i42]Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan, Vasileios-Marios Gkortsas, François Fleuret:
Unsupervised clustering of series using dynamic programming and neural processes. CoRR abs/2101.10983 (2021) - [i41]Vincent Micheli, Quentin Heinrich, François Fleuret, Wacim Belblidia:
Structural analysis of an all-purpose question answering model. CoRR abs/2104.06045 (2021) - [i40]Vincent Micheli, François Fleuret:
Language Models are Few-Shot Butlers. CoRR abs/2104.07972 (2021) - [i39]Bálint Máté, François Fleuret:
Priming PCA with EigenGame. CoRR abs/2109.03709 (2021) - [i38]Prabhu Teja Sivaprasad, François Fleuret:
Test time Adaptation through Perturbation Robustness. CoRR abs/2110.10232 (2021) - [i37]Mohammad Mahdi Johari, Yann Lepoittevin, François Fleuret:
GeoNeRF: Generalizing NeRF with Geometry Priors. CoRR abs/2111.13539 (2021) - [i36]Arnaud Pannatier, Ricardo Picatoste, François Fleuret:
Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm. CoRR abs/2112.10408 (2021) - 2020
- [c75]Evann Courdier, François Fleuret:
Real-Time Segmentation Networks Should be Latency Aware. ACCV (1) 2020: 603-619 - [c74]Vincent Micheli, Martin d'Hoffschmidt, François Fleuret:
On the importance of pre-training data volume for compact language models. EMNLP (1) 2020: 7853-7858 - [c73]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. ICML 2020: 5156-5165 - [c72]Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret:
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning. ICML 2020: 9036-9045 - [c71]Apoorv Vyas, Angelos Katharopoulos, François Fleuret:
Fast Transformers with Clustered Attention. NeurIPS 2020 - [i35]Vincent Micheli, Karthigan Sinnathamby, François Fleuret:
Multi-task Reinforcement Learning with a Planning Quasi-Metric. CoRR abs/2002.03240 (2020) - [i34]Evann Courdier, François Fleuret:
Fair Latency-Aware Metric for real-time video segmentation networks. CoRR abs/2004.02574 (2020) - [i33]Suraj Srinivas, François Fleuret:
Gradient Alignment in Deep Neural Networks. CoRR abs/2006.09128 (2020) - [i32]Tatjana Chavdarova, Matteo Pagliardini, Martin Jaggi, François Fleuret:
Taming GANs with Lookahead. CoRR abs/2006.14567 (2020) - [i31]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. CoRR abs/2006.16236 (2020) - [i30]Apoorv Vyas, Angelos Katharopoulos, François Fleuret:
Fast Transformers with Clustered Attention. CoRR abs/2007.04825 (2020) - [i29]Vincent Micheli, Martin d'Hoffschmidt, François Fleuret:
On the importance of pre-training data volume for compact language models. CoRR abs/2010.03813 (2020)
2010 – 2019
- 2019
- [c70]Stepan Tulyakov, François Fleuret, Martin Kiefel, Peter V. Gehler, Michael Hirsch:
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. ICCV 2019: 1527-1537 - [c69]Angelos Katharopoulos, François Fleuret:
Processing Megapixel Images with Deep Attention-Sampling Models. ICML 2019: 3282-3291 - [c68]Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien:
Reducing Noise in GAN Training with Variance Reduced Extragradient. NeurIPS 2019: 391-401 - [c67]Suraj Srinivas, François Fleuret:
Full-Gradient Representation for Neural Network Visualization. NeurIPS 2019: 4126-4135 - [i28]Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien:
Reducing Noise in GAN Training with Variance Reduced Extragradient. CoRR abs/1904.08598 (2019) - [i27]Suraj Srinivas, François Fleuret:
Full-Jacobian Representation of Neural Networks. CoRR abs/1905.00780 (2019) - [i26]Angelos Katharopoulos, François Fleuret:
Processing Megapixel Images with Deep Attention-Sampling Models. CoRR abs/1905.03711 (2019) - [i25]Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret:
On the Tunability of Optimizers in Deep Learning. CoRR abs/1910.11758 (2019) - 2018
- [c66]Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur M. Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret:
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. CVPR 2018: 5030-5039 - [c65]Tatjana Chavdarova, François Fleuret:
SGAN: An Alternative Training of Generative Adversarial Networks. CVPR 2018: 9407-9415 - [c64]Cijo Jose, Moustapha Cissé, François Fleuret:
Kronecker Recurrent Units. ICLR (Workshop) 2018 - [c63]Pierre Baqué, Edoardo Remelli, François Fleuret, Pascal Fua:
Geodesic Convolutional Shape Optimization. ICML 2018: 481-490 - [c62]Cijo Jose, Moustapha Cissé, François Fleuret:
Kronecker Recurrent Units. ICML 2018: 2385-2394 - [c61]Angelos Katharopoulos, François Fleuret:
Not All Samples Are Created Equal: Deep Learning with Importance Sampling. ICML 2018: 2530-2539 - [c60]Suraj Srinivas, François Fleuret:
Knowledge Transfer with Jacobian Matching. ICML 2018: 4730-4738 - [c59]Stepan Tulyakov, Anton Ivanov, François Fleuret:
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching. NeurIPS 2018: 5875-5885 - [i24]Pierre Baqué, Edoardo Remelli, François Fleuret, Pascal Fua:
Geodesic Convolutional Shape Optimization. CoRR abs/1802.04016 (2018) - [i23]Suraj Srinivas, François Fleuret:
Knowledge Transfer with Jacobian Matching. CoRR abs/1803.00443 (2018) - [i22]Angelos Katharopoulos, François Fleuret:
Not All Samples Are Created Equal: Deep Learning with Importance Sampling. CoRR abs/1803.00942 (2018) - [i21]Stepan Tulyakov, Anton Ivanov, François Fleuret:
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching. CoRR abs/1806.01677 (2018) - 2017
- [j16]Riwal Lefort, Ludovico Fusco, Olivier Pertz, François Fleuret:
Machine learning-based tools to model and to remove the off-target effect. Pattern Anal. Appl. 20(1): 87-100 (2017) - [c58]James Newling, François Fleuret:
A Sub-Quadratic Exact Medoid Algorithm. AISTATS 2017: 185-193 - [c57]Timur M. Bagautdinov, Alexandre Alahi, François Fleuret, Pascal Fua, Silvio Savarese:
Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition. CVPR 2017: 3425-3434 - [c56]Pierre Baqué, François Fleuret, Pascal Fua:
Multi-modal Mean-Fields via Cardinality-Based Clamping. CVPR 2017: 4303-4312 - [c55]Pierre Baqué, François Fleuret, Pascal Fua:
Deep Occlusion Reasoning for Multi-camera Multi-target Detection. ICCV 2017: 271-279 - [c54]Stepan Tulyakov, Anton Ivanov, François Fleuret:
Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction. ICCV 2017: 1348-1357 - [c53]Andrii Maksai, Xinchao Wang, François Fleuret, Pascal Fua:
Non-Markovian Globally Consistent Multi-object Tracking. ICCV 2017: 2563-2573 - [c52]Tatjana Chavdarova, François Fleuret:
Deep Multi-camera People Detection. ICMLA 2017: 848-853 - [c51]Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart M. ter Haar Romeny, François Fleuret:
Boosted Exudate Segmentation in Retinal Images Using Residual Nets. FIFI/OMIA@MICCAI 2017: 210-218 - [c50]James Newling, François Fleuret:
K-Medoids For K-Means Seeding. NIPS 2017: 5195-5203 - [i20]Tatjana Chavdarova, François Fleuret:
Deep Multi-camera People Detection. CoRR abs/1702.04593 (2017) - [i19]Pierre Baqué, François Fleuret, Pascal Fua:
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection. CoRR abs/1704.05775 (2017) - [i18]Cijo Jose, Moustapha Cissé, François Fleuret:
Kronecker Recurrent Units. CoRR abs/1705.10142 (2017) - [i17]Angelos Katharopoulos, François Fleuret:
Biased Importance Sampling for Deep Neural Network Training. CoRR abs/1706.00043 (2017) - [i16]Stepan Tulyakov, Anton Ivanov, Nicolas Thomas, Victoria Roloff, Antoine Pommerol, Gabriele Cremonese, Thomas Weigel, François Fleuret:
Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter. CoRR abs/1707.00606 (2017) - [i15]Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret:
The WILDTRACK Multi-Camera Person Dataset. CoRR abs/1707.09299 (2017) - [i14]Tatjana Chavdarova, François Fleuret:
SGAN: An Alternative Training of Generative Adversarial Networks. CoRR abs/1712.02330 (2017) - 2016
- [j15]Leonidas Lefakis, François Fleuret:
Jointly Informative Feature Selection Made Tractable by Gaussian Modeling. J. Mach. Learn. Res. 17: 182:1-182:39 (2016) - [j14]Nicolae Suditu, François Fleuret:
Adaptive relevance feedback for large-scale image retrieval. Multim. Tools Appl. 75(12): 6777-6807 (2016) - [j13]Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua:
Tracking Interacting Objects Using Intertwined Flows. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2312-2326 (2016) - [c49]Olivier Canévet, François Fleuret:
Large Scale Hard Sample Mining with Monte Carlo Tree Search. CVPR 2016: 5128-5137 - [c48]Pierre Baqué, Timur M. Bagautdinov, François Fleuret, Pascal Fua:
Principled Parallel Mean-Field Inference for Discrete Random Fields. CVPR 2016: 5848-5857 - [c47]Cijo Jose, François Fleuret:
Scalable Metric Learning via Weighted Approximate Rank Component Analysis. ECCV (5) 2016: 875-890 - [c46]James Newling, François Fleuret:
Fast k-means with accurate bounds. ICML 2016: 936-944 - [c45]Olivier Canévet, Cijo Jose, François Fleuret:
Importance Sampling Tree for Large-scale Empirical Expectation. ICML 2016: 1454-1462 - [c44]James Newling, François Fleuret:
Nested Mini-Batch K-Means. NIPS 2016: 1352-1360 - [i13]James Newling, François Fleuret:
Fast k-means with accurate bounds. CoRR abs/1602.02514 (2016) - [i12]James Newling, François Fleuret:
Turbocharging Mini-Batch K-Means. CoRR abs/1602.02934 (2016) - [i11]Cijo Jose, François Fleuret:
Scalable Metric Learning via Weighted Approximate Rank Component Analysis. CoRR abs/1603.00370 (2016) - [i10]James Newling, François Fleuret:
A Sub-Quadratic Exact Medoid Algorithm. CoRR abs/1605.06950 (2016) - [i9]James Newling, François Fleuret:
K-Medoids For K-Means Seeding. CoRR abs/1609.04723 (2016) - [i8]François Fleuret:
Predicting the dynamics of 2d objects with a deep residual network. CoRR abs/1610.04032 (2016) - [i7]Pierre Baqué, François Fleuret, Pascal Fua:
Multi-Modal Mean-Fields via Cardinality-Based Clamping. CoRR abs/1611.07941 (2016) - [i6]Timur M. Bagautdinov, Alexandre Alahi, François Fleuret, Pascal Fua, Silvio Savarese:
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition. CoRR abs/1611.09078 (2016) - [i5]Andrii Maksai, Xinchao Wang, François Fleuret, Pascal Fua:
Globally Consistent Multi-People Tracking using Motion Patterns. CoRR abs/1612.00604 (2016) - [i4]Stepan Tulyakov, Anton Ivanov, François Fleuret:
Semi-supervised learning of deep metrics for stereo reconstruction. CoRR abs/1612.00979 (2016) - 2015
- [c43]Timur M. Bagautdinov, François Fleuret, Pascal Fua:
Probability occupancy maps for occluded depth images. CVPR 2015: 2829-2837 - [c42]Mohammad E. Khan, Pierre Baqué, François Fleuret, Pascal Fua:
Kullback-Leibler Proximal Variational Inference. NIPS 2015: 3402-3410 - [i3]Pierre Baqué, Jean-Hubert Hours, François Fleuret, Pascal Fua:
A provably convergent alternating minimization method for mean field inference. CoRR abs/1502.05832 (2015) - [i2]Pierre Baqué, Timur M. Bagautdinov, François Fleuret, Pascal Fua:
Principled Parallel Mean-Field Inference for Discrete Random Fields. CoRR abs/1511.06103 (2015) - 2014
- [j12]Charles Dubout, François Fleuret:
Adaptive sampling for large scale boosting. J. Mach. Learn. Res. 15(1): 1431-1453 (2014) - [j11]Horesh Ben Shitrit, Jérôme Berclaz, François Fleuret, Pascal Fua:
Multi-Commodity Network Flow for Tracking Multiple People. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1614-1627 (2014) - [c41]Adrián Peñate Sánchez, Francesc Moreno-Noguer, Juan Andrade-Cetto, François Fleuret:
LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images. 3DV 2014: 517-524 - [c40]Olivier Canévet, François Fleuret:
Efficient Sample Mining for Object Detection. ACML 2014 - [c39]Olivier Canévet, Leonidas Lefakis, François Fleuret:
Sample Distillation for Object Detection and Image Classification. ACML 2014 - [c38]Leonidas Lefakis, François Fleuret:
Jointly Informative Feature Selection. AISTATS 2014: 567-575 - [c37]Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua:
Tracking Interacting Objects Optimally Using Integer Programming. ECCV (1) 2014: 17-32 - [c36]Leonidas Lefakis, François Fleuret:
Dynamic Programming Boosting for Discriminative Macro-Action Discovery. ICML 2014: 1548-1556 - [p1]François Fleuret, Horesh Ben Shitrit, Pascal Fua:
Re-identification for Improved People Tracking. Person Re-Identification 2014: 309-330 - 2013
- [j10]Riwal Lefort, François Fleuret:
treeKL: A distance between high dimension empirical distributions. Pattern Recognit. Lett. 34(2): 140-145 (2013) - [c35]Charles Dubout, François Fleuret:
Deformable Part Models with Individual Part Scaling. BMVC 2013 - [c34]Charles Dubout, François Fleuret:
Accelerated Training of Linear Object Detectors. CVPR Workshops 2013: 572-577 - [c33]Raphael Sznitman, Carlos J. Becker, François Fleuret, Pascal Fua:
Fast Object Detection with Entropy-Driven Evaluation. CVPR 2013: 3270-3277 - [c32]Leonidas Lefakis, François Fleuret:
Reservoir Boosting : Between Online and Offline Ensemble Learning. NIPS 2013: 1412-1420 - 2012
- [j9]Karim Ali, François Fleuret, David Hasler, Pascal Fua:
A Real-Time Deformable Detector. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 225-239 (2012) - [c31]Nicolae Suditu, François Fleuret:
Iterative relevance feedback with adaptive exploration/exploitation trade-off. CIKM 2012: 1323-1331 - [c30]