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Edouard Oyallon

30

Documents

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Web site

https://edouardoyallon.github.io/

Publications

	$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning Adel Nabli , Eugene Belilovsky , Edouard Oyallon Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans, United States Conference papers hal-04124318v2
	Can Forward Gradient Match Backpropagation? Louis Fournier , Stéphane Rivaud , Eugene Belilovsky , Michael Eickenberg , Edouard Oyallon Fortieth International Conference on Machine Learning, Jul 2023, Honolulu (Hawaii), USA, United States Conference papers hal-04119829v1
	Preventing Dimensional Collapse in Contrastive Local Learning with Subsampling Louis Fournier , Adeetya Patel , Michael Eickenberg , Edouard Oyallon , Eugene Belilovsky ICML 2023 Workshop on Localized Learning (LLW), Jul 2023, Honolulu (Hawaii), USA, United States Conference papers hal-04156218v1
	DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization Adel Nabli , Edouard Oyallon International Conference on Machine Learning, Jul 2023, Honolulu, United States Conference papers hal-03737694v3
	Why do tree-based models still outperform deep learning on typical tabular data? Léo Grinsztajn , Edouard Oyallon , Gaël Varoquaux 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, Nov 2022, New Orleans, United States Conference papers hal-03723551v3
	On Non-Linear operators for Geometric Deep Learning Grégoire Sergeant-Perthuis , Jakob Maier , Joan Bruna , Edouard Oyallon Conference on Neural Information Processing Systems (Neurips), Dec 2022, New Orleans, United States. ⟨10.48550/arXiv.2207.03485⟩ Conference papers hal-03711864v2
	The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods Louis Thiry , Michael Arbel , Eugene Belilovsky , Edouard Oyallon International Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria Conference papers hal-03114389v1
	Low-Rank Projections of GCNs Laplacian Nathan Grinsztajn , Philippe Preux , Edouard Oyallon ICLR 2021 Workshop GTRL, May 2021, Online, France Conference papers hal-03248056v1
	Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment Othmane Laousy , Guillaume Chassagnon , Edouard Oyallon , Nikos Paragios , Marie-Pierre Revel Machine Learning in Medical Imaging @MICCAI, Sep 2021, Strasbourg, France. pp.317-326, ⟨10.1007/978-3-030-87589-3_33⟩ Conference papers hal-03532954v1
	Decoupled Greedy Learning of CNNs Eugene Belilovsky , Michael Eickenberg , Edouard Oyallon International Conference on Machine Learning, Jul 2020, Vienna (virtual), Austria. pp.5368-5377 Conference papers hal-02945327v1
	Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 37th International Conference on Machine Learning (ICML 2020), Jul 2020, Online, Austria Conference papers hal-02862516v1
	On Lazy Training in Differentiable Programming Lenaic Chizat , Edouard Oyallon , Francis Bach NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.2937-2947 Conference papers hal-01945578v6
	Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky , Michael Eickenberg , Edouard Oyallon ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States Conference papers hal-02119398v1
	i-RevNet: Deep Invertible Networks Jörn-Henrik Jacobsen , Arnold Smeulders , Edouard Oyallon ICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada Conference papers hal-01712808v1
	Nonlinear Acceleration of CNNs Damien Scieur , Edouard Oyallon , Alexandre d'Aspremont , Francis Bach ICLR Workshop track, Apr 2018, Vancouver, Canada Conference papers hal-01805251v3
	Compressing the Input for CNNs with the First-Order Scattering Transform Edouard Oyallon , Eugene Belilovsky , Sergey Zagoruyko , Michal Valko ECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany Conference papers hal-01850921v1
	Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon , Eugene Belilovsky , Sergey Zagoruyko International Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy Conference papers hal-01495734v2

	ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training Adel Nabli , Louis Fournier , Pierre Erbacher , Louis Serrano , Eugene Belilovsky 2024 Preprints, Working Papers, ... hal-04592562v1
	PETRA: Parallel End-to-end Training with Reversible Architectures Stéphane Rivaud , Louis Fournier , Thomas Pumir , Eugene Belilovsky , Michael Eickenberg 2024 Preprints, Working Papers, ... hal-04594647v1
	Vectorizing string entries for data processing on tables: when are larger language models better? Léo Grinsztajn , Myung Jun Kim , Edouard Oyallon , Gaël Varoquaux 2023 Preprints, Working Papers, ... hal-04345931v1
	Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning Eugene Belilovsky , Louis Leconte , Lucas Caccia , Michael Eickenberg , Edouard Oyallon 2021 Preprints, Working Papers, ... hal-03247753v1
	Interferometric Graph Transform for Community Labeling Nathan Grinsztajn , Louis Leconte , Philippe Preux , Edouard Oyallon 2021 Preprints, Working Papers, ... hal-03247781v1
	Nonlinear Acceleration of Deep Neural Networks Damien Scieur , Edouard Oyallon , Alexandre D 'Aspremont , Francis Bach 2018 Preprints, Working Papers, ... hal-01799269v1

	Guiding The Last Layer in Federated Learning with Pre-Trained Models Gwen Legate , Nicolas Bernier , Lucas Caccia , Edouard Oyallon , Eugene Belilovsky Neurips, inPress Journal articles hal-04262471v1
	Gradient Masked Averaging for Federated Learning Irene Tenison , Sai Aravind Sreeramadas , Vaikkunth Mugunthan , Edouard Oyallon , Eugene Belilovsky Transactions on Machine Learning Research Journal, 2022 Journal articles hal-04262447v1
	Kymatio: Scattering Transforms in Python Mathieu Andreux , Tomás Angles , Georgios Exarchakis , Roberto Leonarduzzi , Gaspar Rochette Journal of Machine Learning Research, 2020, 21 (60), pp.1-6 Journal articles hal-02945354v1
	Scattering Networks for Hybrid Representation Learning Edouard Oyallon , Sergey Zagoruyko , Gabriel Huang , Nikos Komodakis , Simon Lacoste-Julien IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, pp.11. ⟨10.1109/TPAMI.2018.2855738⟩ Journal articles hal-01837587v1
	An Analysis of the SURF Method Edouard Oyallon , Julien Rabin Image Processing On Line, 2015, 5, pp.176 - 218. ⟨10.5201/ipol.2015.69⟩ Journal articles hal-01657161v1

	Analyzing and introducing structures in deep convolutional neural networks Edouard Oyallon Computer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLEE060⟩ Theses tel-03917151v2

	Contributions to Local, Asynchronous and Decentralized Learning, and to Geometric Deep Learning Edouard Oyallon Artificial Intelligence [cs.AI]. Sorbonne Université, 2023 Habilitation à diriger des recherches tel-04334118v1