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Francois Fleuret
First name(s): Francois
Last name(s): Fleuret

Keywords:


Publications of Francois Fleuret
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2024
Inference from Real-World Sparse Measurements, Arnaud Pannatier, Kyle Matoba and Francois Fleuret, in: Transactions on Machine Learning Research, 2024
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2023
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields, Mohammad Mahdi Johari, Camilla Carta and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), pages 17408-17419, 2023
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HyperMixer: An MLP-based Low Cost Alternative to Transformers, Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, Francois Fleuret and James Henderson, in: Proc. of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Toronto, Canada, pages 15632-15654, 2023
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2022
GeoNeRF: Generalizing NeRF with Geometry Priors, Mohammad Mahdi Johari, Yann Lepoittevin and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Paumer: Patch Pausing Transformer for Semantic Segmentation, Evann Courdier, Prabhu Teja Sivaprasad and Francois Fleuret, in: 33th British Machine Vision Conference 2022, London, UK, 21 - 24 November 2022, 2022
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2021
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation, Mohammad Mahdi Johari, Camilla Carta and Francois Fleuret, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 6039-6048, 2021
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Test time Adaptation through Perturbation Robustness, Prabhu Teja Sivaprasad and Francois Fleuret, in: Workshop on Distribution Shifts, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
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Uncertainty Reduction for Model Adaptation in Semantic Segmentation, Prabhu Teja Sivaprasad and Francois Fleuret, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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2020
Exact Preimages of Neural Network Aircraft Collision Avoidance Systems, Kyle Matoba and Francois Fleuret, in: Machine Learning for Engineering Modeling, Simulation, and Design Workshop at Neural Information Processing Systems 2020, 2020
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Fast Transformers with Clustered Attention, Apoorv Vyas, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of the International Conference on Neural Information Processing Systems, 2020
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning, Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi and Francois Fleuret, in: Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, 2020
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2019
Full-Gradient Representation for Neural Network Visualization, Suraj Srinivas and Francois Fleuret, in: Advances in Neural Information Processing Systems, 2019
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Learning an event sequence embedding for event-based deep stereo, Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler and Michael Hirsch, in: Proceedings of the IEEE International Conference on Computer Vision, 2019
Processing Megapixel Images with Deep Attention-Sampling Models, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of International Conference on Machine Learning, 2019
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Reducing Noise in GAN Training with Variance Reduced Extragradient, Tatjana Chavdarova, Gauthier Gidel, Francois Fleuret and Simon Lacoste-Julien, in: Proceedings of the international conference on Neural Information Processing Systems, 2019
2018
Geodesic Convolutional Shape Optimization, Pierre Baqué, Edoardo Remelli, Francois Fleuret and Pascal Fua, in: Proceedings of the International Conference on Machine Learning, 2018
Knowledge Transfer with Jacobian Matching, Suraj Srinivas and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning, 2018
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Kronecker Recurrent Units, Cijo Jose, Moustapha Cisse and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning, 2018
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