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Publications
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ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training2024
Pré-publication, Document de travail
hal-04592562
v1
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Vectorizing string entries for data processing on tables: when are larger language models better?2023
Pré-publication, Document de travail
hal-04345931
v1
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Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning2021
Pré-publication, Document de travail
hal-03247753
v1
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Interferometric Graph Transform for Community Labeling2021
Pré-publication, Document de travail
hal-03247781
v1
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Nonlinear Acceleration of Deep Neural Networks2018
Pré-publication, Document de travail
hal-01799269
v1
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$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep LearningThirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans, United States
Communication dans un congrès
hal-04124318
v2
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Can Forward Gradient Match Backpropagation?Fortieth International Conference on Machine Learning, Jul 2023, Honolulu (Hawaii), USA, United States
Communication dans un congrès
hal-04119829
v1
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DADAO: Decoupled Accelerated Decentralized Asynchronous OptimizationInternational Conference on Machine Learning, Jul 2023, Honolulu, United States
Communication dans un congrès
hal-03737694
v3
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Preventing Dimensional Collapse in Contrastive Local Learning with SubsamplingICML 2023 Workshop on Localized Learning (LLW), Jul 2023, Honolulu (Hawaii), USA, United States
Communication dans un congrès
hal-04156218
v1
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Why do tree-based models still outperform deep learning on typical tabular data?36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, Nov 2022, New Orleans, United States
Communication dans un congrès
hal-03723551
v3
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On Non-Linear operators for Geometric Deep LearningConference on Neural Information Processing Systems (Neurips), Dec 2022, New Orleans, United States. ⟨10.48550/arXiv.2207.03485⟩
Communication dans un congrès
hal-03711864
v2
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Low-Rank Projections of GCNs LaplacianICLR 2021 Workshop GTRL, May 2021, Online, France
Communication dans un congrès
hal-03248056
v1
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The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels MethodsInternational Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria
Communication dans un congrès
hal-03114389
v1
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Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia AssessmentMachine Learning in Medical Imaging @MICCAI, Sep 2021, Strasbourg, France. pp.317-326, ⟨10.1007/978-3-030-87589-3_33⟩
Communication dans un congrès
hal-03532954
v1
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Decoupled Greedy Learning of CNNsInternational Conference on Machine Learning, Jul 2020, Vienna (virtual), Austria. pp.5368-5377
Communication dans un congrès
hal-02945327
v1
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Interferometric Graph Transform: a Deep Unsupervised Graph Representation37th International Conference on Machine Learning (ICML 2020), Jul 2020, Online, Austria
Communication dans un congrès
hal-02862516
v1
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On Lazy Training in Differentiable ProgrammingNeurIPS 2019 - 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.2937-2947
Communication dans un congrès
hal-01945578
v6
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Greedy Layerwise Learning Can Scale to ImageNetICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States
Communication dans un congrès
hal-02119398
v1
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i-RevNet: Deep Invertible NetworksICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada
Communication dans un congrès
hal-01712808
v1
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Nonlinear Acceleration of CNNsICLR Workshop track, Apr 2018, Vancouver, Canada
Communication dans un congrès
hal-01805251
v3
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Compressing the Input for CNNs with the First-Order Scattering TransformECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany
Communication dans un congrès
hal-01850921
v1
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Scaling the Scattering Transform: Deep Hybrid NetworksInternational Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy
Communication dans un congrès
hal-01495734
v2
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Guiding The Last Layer in Federated Learning with Pre-Trained ModelsNeurips, In press
Article dans une revue
hal-04262471
v1
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Gradient Masked Averaging for Federated LearningTransactions on Machine Learning Research Journal, 2022
Article dans une revue
hal-04262447
v1
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Kymatio: Scattering Transforms in PythonJournal of Machine Learning Research, 2020, 21 (60), pp.1-6
Article dans une revue
hal-02945354
v1
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Scattering Networks for Hybrid Representation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, pp.11. ⟨10.1109/TPAMI.2018.2855738⟩
Article dans une revue
hal-01837587
v1
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An Analysis of the SURF MethodImage Processing On Line, 2015, 5, pp.176 - 218. ⟨10.5201/ipol.2015.69⟩
Article dans une revue
hal-01657161
v1
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Contributions to Local, Asynchronous and Decentralized Learning, and to Geometric Deep LearningArtificial Intelligence [cs.AI]. Sorbonne Université, 2023
HDR
tel-04334118
v1
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Analyzing and introducing structures in deep convolutional neural networksComputer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLEE060⟩
Thèse
tel-03917151
v2
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