Recherche - Inria - Institut national de recherche en sciences et technologies du numérique

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	Pour les 82 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

		CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models Romain Xu-Darme , Aymeric Varasse , Alban Grastien , Julien Girard , Zakaria Chihani xAI 2024 - The 2nd World Conference on eXplainable Artificial Intelligence, Jul 2024, La valette, Malta. pp.TBD Communication dans un congrès cea-04688217v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		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
		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
		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
		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
		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
		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
		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
		Robust risk management via multi-marginal optimal transport Quentin Mérigot , Luca Nenna , Hamza Ennaji , Brendan Pass 2022 Pré-publication, Document de travail hal-03852245v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty , Saptarshi Roy , Debabrota Basu 2024 Pré-publication, Document de travail hal-04615697v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges Audrey Poinsot , Alessandro Leite , Nicolas Chesneau , Michele Sebag , Marc Schoenauer IJCAI 2024 - Thirty-Third International Joint Conference on Artificial Intelligence, Aug 2024, Jeju, South Korea. pp.8207-8215, ⟨10.24963/ijcai.2024/907⟩ Communication dans un congrès hal-04706985v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Abstract Interpretation-Based Feature Importance for Support Vector Machines Abhinandan Pal , Francesco Ranzato , Caterina Urban , Marco Zanella 25th International Conference on Verification, Model Checking, and Abstract Interpretation (VMCAI 2024), Jan 2024, London, United Kingdom. pp.27-49, ⟨10.1007/978-3-031-50524-9_2⟩ Communication dans un congrès hal-04378817v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Differentially Private Best-Arm Identification Achraf Azize , Marc Jourdan , Aymen Al Marjani , Debabrota Basu 2024 Pré-publication, Document de travail hal-04615690v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption Shubhada Agrawal , Timothée Mathieu , Debabrota Basu , Odalric-Ambrym Maillard International Conference on Algorithmic Learning Theory (ALT), Feb 2024, San Diego (CA), United States. pp.74-124 Communication dans un congrès hal-04260464v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Complexity Analysis of Regularization Methods for Implicitly Constrained Least Squares Akwum Onwunta , Clément Royer Journal of Scientific Computing, 2024, 101 (3), pp.54. ⟨10.1007/s10915-024-02691-2⟩ Article dans une revue hal-04745284v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness Waïss Azizian , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos SIAM Journal on Optimization, 2024, 34 (3), pp.2440-2471. ⟨10.1137/23M1580218⟩ Article dans une revue hal-04307796v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		On the discrete-time origins of the replicator dynamics: From convergence to instability and chaos Fryderyk Falniowski , Panayotis Mertikopoulos 2024 Pré-publication, Document de travail hal-04629311v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More
		Quick or cheap? Breaking points in dynamic markets Panayotis Mertikopoulos , Heinrich H Nax , Bary S R Pradelski Journal of Mathematical Economics, 2024, 112, pp.102987. ⟨10.1016/j.jmateco.2024.102987⟩ Article dans une revue hal-04664218v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager More

Filtrer vos résultats

CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models

Differentiable Owen Scrambling

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

The computational complexity of finding second-order stationary points

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

A PAC-Bayesian Link Between Generalisation and Flat Minima

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

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows

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

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

Robust risk management via multi-marginal optimal transport

FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits

Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges

Abstract Interpretation-Based Feature Importance for Support Vector Machines

Differentially Private Best-Arm Identification

CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption

Complexity Analysis of Regularization Methods for Implicitly Constrained Least Squares

The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness

On the discrete-time origins of the replicator dynamics: From convergence to instability and chaos

Quick or cheap? Breaking points in dynamic markets