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	Pour les 79 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 3 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Differentiable Owen Scrambling Bastien Doignies , David Coeurjolly , Nicolas Bonneel , Julie Digne , Jean-Claude Iehl , et al. ACM Transactions on Graphics, 2024, proceeding of Siggraph ASIA 2024, 43 (6), pp.255. ⟨10.1145/3687764⟩ Article dans une revue hal-04721127v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma Aurélien Garivier , Emmanuel Pilliat 2024 Pré-publication, Document de travail hal-04690731v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche , Paul Viallard , Umut Şimşekli , Benjamin Guedj 2024 Pré-publication, Document de travail hal-04455639v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights Davide Legacci , Panayotis Mertikopoulos , Bary Pradelski ICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria Communication dans un congrès hal-04629310v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		The computational complexity of finding second-order stationary points Andreas Kontogiannis , Vasilis Pollatos , Sotiris Kanellopoulos , Panayotis Mertikopoulos , Aris Pagourtzis , et al. ICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria Communication dans un congrès hal-04629307v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Combining Weight Approximation, Sharing and Retraining for Neural Network Model Compression Prachi Kashikar , Olivier Sentieys , Sharad Sinha ACM Transactions on Embedded Computing Systems (TECS), 2024, 23, pp.1 - 23. ⟨10.1145/3687466⟩ Article dans une revue hal-04764621v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		What is the long-run distribution of stochastic gradient descent? A large deviations analysis Waïss Azizian , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos ICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria. pp.1-70 Communication dans un congrès hal-04629305v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat , Debabrota Basu , Yulia Gel , Yuzhou Chen 2024 Pré-publication, Document de travail hal-04708183v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Joint structure-texture low dimensional modeling for image decomposition with a plug and play framework Antoine Guennec , Jean-François Aujol , Yann Traonmilin 2024 Pré-publication, Document de travail hal-04648963v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows Sibylle Marcotte , Rémi Gribonval , Gabriel Peyré 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria Communication dans un congrès hal-04590932v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance Eloi Tanguy , Rémi Flamary , Julie Delon Comptes Rendus. Mathématique, 2024, 362, pp.1121--1129 Article dans une revue hal-04232769v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim , Marc Lafon , Raphaël Fournier S'Niehotta , Nicolas Thome The Thirty-eighth Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver (CA), Canada Communication dans un congrès hal-04785441v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Monotonicity and the Precision of Program Analysis Marco Campion , Mila Dalla Preda , Roberto Giacobazzi , Caterina Urban Proceedings of the ACM on Programming Languages, 2024, 8 (POPL), pp.1629-1662. ⟨10.1145/3632897⟩ Article dans une revue hal-04423578v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Discrete-to-continuous crystalline curvature flows Antonin Chambolle , Daniele de Gennaro , Massimiliano Morini 2024 Pré-publication, Document de travail hal-04500307v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm Batiste Le Bars , Aurélien Bellet , Marc Tommasi , Kevin Scaman , Giovanni Neglia ICML 2024 - The Forty-first International Conference on Machine Learning, Jul 2024, Vienne, Austria Communication dans un congrès hal-04611418v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Gradient correlation is needed to accelerate SGD with momentum Julien Hermant , Marien Renaud , Jean-François Aujol , Charles Dossal , Aude Rondepierre 2024 Pré-publication, Document de travail hal-04728121v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Fast inference with Kronecker-sparse matrices Antoine Gonon , Léon Zheng , Pascal Carrivain , Quoc-Tung Le 2024 Pré-publication, Document de travail hal-04584450v4	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints Udvas Das , Debabrota Basu Seventeenth European Workshop on Reinforcement Learning (EWRL), Oct 2024, Toulouse, France Communication dans un congrès hal-04784911v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		LOCOST: State-Space Models for Long Document Abstractive Summarization Florian Le Bronnec , Song Duong , Mathieu Ravaut , Alexandre Allauzen , Nancy F. Chen , et al. European Chapter of the Association for Computational Linguistics (EACL), Mar 2024, St. Julian’s, Malta Communication dans un congrès hal-04438465v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud , Jiaming Liu , Valentin de Bortoli , Andrés Almansa , Ulugbek Kamilov (ICLR 2024) The Twelfth International Conference on Learning Representations, May 2024, Wien, Austria Communication dans un congrès hal-04307874v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma , Rudy Bunel , Krishnamurthy Dvijotham , M Pawan Kumar , Robert Stanforth , et al. ICLR 2024 - International Conference on Learning Representations, May 2024, Vienna, Austria Communication dans un congrès hal-04511820v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia Erell Gachon , Jérémie Bigot , Elsa Cazelles , Aguirre Mimoun , Jean-Philippe Vial 2024 Pré-publication, Document de travail hal-04661639v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space Reabetswe M. Nkhumise , Debabrota Basu , Tony J. Prescott , Aditya Gilra 2024 Pré-publication, Document de travail hal-04702986v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Concentrated Differential Privacy for Bandits Achraf Azize , Debabrota Basu 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), IEEE, Apr 2024, Toronto, Canada. pp.78-109, ⟨10.1109/SaTML59370.2024.00013⟩ Communication dans un congrès hal-04611650v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Towards optimal algorithms for the recovery of low-dimensional models with linear rates Yann Traonmilin , Jean François Aujol , Antoine Guennec 2024 Pré-publication, Document de travail hal-04725337v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra , Bishwamittra Ghosh , Debabrota Basu 2024 Pré-publication, Document de travail hal-04733059v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Approximate Fault-Tolerant Neural Network Systems Marcello Traiola , Salvatore Pappalardo , Ali Piri , Annachiara Ruospo , Bastien Deveautour , et al. ETS 2024 - 29th IEEE European Test Symposium, May 2024, La Haye, Netherlands. pp.1-10, ⟨10.1109/ETS61313.2024.10567290⟩ Communication dans un congrès hal-04674818v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs Chao Han , Debabrota Basu , Michael Mangan , Eleni Vasilaki , Aditya Gilra 2024 Pré-publication, Document de travail hal-04785076v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Activations in Low Precision with High Accuracy Tom Hubrecht , Orégane Desrentes , Florent de Dinechin 2024 Pré-publication, Document de travail hal-04776745v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks Thomas Firmin , Pierre Boulet , El-Ghazali Talbi International Conference on Neuromorphic Systems (ICONS 2024), Jul 2024, Washington, United States Communication dans un congrès hal-04781629v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More

Filtrer vos résultats

Differentiable Owen Scrambling

On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma

A PAC-Bayesian Link Between Generalisation and Flat Minima

A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights

The computational complexity of finding second-order stationary points

Combining Weight Approximation, Sharing and Retraining for Neural Network Model Compression

What is the long-run distribution of stochastic gradient descent? A large deviations analysis

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning

Joint structure-texture low dimensional modeling for image decomposition with a plug and play framework

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows

Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance

Supra-Laplacian Encoding for Transformer on Dynamic Graphs

Monotonicity and the Precision of Program Analysis

Discrete-to-continuous crystalline curvature flows

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm

Gradient correlation is needed to accelerate SGD with momentum

Fast inference with Kronecker-sparse matrices

Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints

LOCOST: State-Space Models for Long Document Abstractive Summarization

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

Expressive Losses for Verified Robustness via Convex Combinations

Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia

Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space

Concentrated Differential Privacy for Bandits

Towards optimal algorithms for the recovery of low-dimensional models with linear rates

Active Fourier Auditor for Estimating Distributional Properties of ML Models

Approximate Fault-Tolerant Neural Network Systems

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs

Activations in Low Precision with High Accuracy

Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks