Provable local learning rule by expert aggregation for a Hawkes network
Sophie Jaffard
,
Samuel Vaiter
,
Alexandre Muzy
,
Patricia Reynaud-Bouret
2023
Preprints, Working Papers, ...
hal-04065229v1
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CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration
Charles-Alban Deledalle
,
Nicolas Papadakis
,
Joseph Salmon
,
Samuel Vaiter
Journal articles
hal-01333295v3
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Low Complexity Regularization of Inverse Problems
Samuel Vaiter
General Mathematics [math.GM]. Université Paris Dauphine - Paris IX, 2014. English.
⟨NNT : 2014PA090055⟩
Theses
tel-01130672v1
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Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation
Barbara Pascal
,
Samuel Vaiter
,
Nelly Pustelnik
,
Patrice Abry
Journal articles
hal-03044181v1
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Linear support vector regression with linear constraints
Quentin Klopfenstein
,
Samuel Vaiter
Journal articles
hal-03303248v1
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Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
,
Nicolas Keriven
,
Nicolas Tremblay
,
Samuel Vaiter
2023
Preprints, Working Papers, ...
hal-04059402v2
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Gradient scarcity with Bilevel Optimization for Graph Learning
Hashem Ghanem
,
Samuel Vaiter
,
Nicolas Keriven
2023
Preprints, Working Papers, ...
hal-04041721v1
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Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties
Charles-Alban Deledalle
,
Nicolas Papadakis
,
Joseph Salmon
,
Samuel Vaiter
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'19) , Jun 2019, Hofgeismar, Germany. pp.131-143
Conference papers
hal-02059006v1
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Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven
,
Alberto Bietti
,
Samuel Vaiter
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems , Dec 2020, Vancouver (virtual), Canada
Conference papers
hal-02976711v1
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Supervised learning of analysis-sparsity priors with automatic differentiation
Hashem Ghanem
,
Joseph Salmon
,
Nicolas Keriven
,
Samuel Vaiter
Journal articles
hal-03518852v1
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Local Behavior of Sparse Analysis Regularization: Applications to Risk Estimation
Samuel Vaiter
,
Charles Deledalle
,
Gabriel Peyré
,
Charles H Dossal
,
Jalal M. Fadili
Journal articles
hal-00687751v2
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Robust Sparse Analysis Regularization
Samuel Vaiter
,
Gabriel Peyré
,
Charles H Dossal
,
Jalal M. Fadili
Journal articles
hal-00627452v5
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Stable Recovery with Analysis Decomposable Priors
Jalal M. Fadili
,
Gabriel Peyré
,
Samuel Vaiter
,
Charles-Alban Deledalle
,
Joseph Salmon
Proc. SampTA'13 , Jul 2013, Bremen, Germany. pp.113-116
Conference papers
hal-00926732v1
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Model Selection with Low Complexity Priors
Samuel Vaiter
,
Mohammad Golbabaee
,
Jalal M. Fadili
,
Gabriel Peyré
Information and Inference , 2015, 52 p
Journal articles
hal-00842603v3
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Accelerated Alternating Descent Methods for Dykstra-like problems
Antonin Chambolle
,
Pauline Tan
,
Samuel Vaiter
Journal articles
hal-01346532v1
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Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence
Charles-Alban Deledalle
,
Nicolas Papadakis
,
Joseph Salmon
,
Samuel Vaiter
Signal Processing with Adaptive Sparse Structured Representations (SPARS'17) , Jun 2017, Lisbon, Portugal
Conference papers
hal-01412059v1
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The derivatives of Sinkhorn-Knopp converge
Edouard Pauwels
,
Samuel Vaiter
2022
Preprints, Working Papers, ...
hal-03736905v2
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Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection
Charles-Alban Deledalle
,
Samuel Vaiter
,
Jalal M. Fadili
,
Gabriel Peyré
SIAM Journal on Imaging Sciences , 2014, 7 (4), pp.2448-2487
Journal articles
hal-00987295v2
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Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Random Graphs
Matthieu Cordonnier
,
Nicolas Keriven
,
Nicolas Tremblay
,
Samuel Vaiter
GSP 2023 - 6th Graph Signal Processing workshop (GSP 2023) , Jun 2023, Oxford, United Kingdom
Conference papers
hal-04106511v1
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A theory of optimal convex regularization for low-dimensional recovery
Yann Traonmilin
,
Rémi Gribonval
,
Samuel Vaiter
2022
Preprints, Working Papers, ...
hal-03467123v2
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Is the 1-norm the best convex sparse regularization?
Yann Traonmilin
,
Samuel Vaiter
,
Rémi Gribonval
iTWIST'18 - international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques , Nov 2018, Marseille, France. pp.1-11
Conference papers
hal-01819219v1
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The degrees of freedom of partly smooth regularizers
Samuel Vaiter
,
Charles-Alban Deledalle
,
Jalal M. Fadili
,
Gabriel Peyré
,
Charles H Dossal
Journal articles
hal-00981634v4
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Proximal Splitting Derivatives for Risk Estimation
Charles Deledalle
,
Samuel Vaiter
,
Gabriel Peyré
,
Jalal M. Fadili
,
Charles H Dossal
Conference papers
hal-00670213v1
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Unbiased Risk Estimation for Sparse Analysis Regularization
Charles Deledalle
,
Samuel Vaiter
,
Gabriel Peyré
,
Jalal M. Fadili
,
Charles H Dossal
Proc. ICIP'12 , Sep 2012, Orlando, United States. pp.3053-3056
Conference papers
hal-00662718v1
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Maximal Solutions of Sparse Analysis Regularization
Abdessamad Barbara
,
Abderrahim Jourani
,
Samuel Vaiter
Journal articles
hal-01467965v1
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Linear Support Vector Regression with Linear Constraints
Quentin Klopfenstein
,
Samuel Vaiter
2019
Preprints, Working Papers, ...
hal-02349160v1
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Exploiting regularity in sparse Generalized Linear Models
Mathurin Massias
,
Samuel Vaiter
,
Alexandre Gramfort
,
Joseph Salmon
SPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations , Jul 2019, Toulouse, France
Conference papers
hal-02288859v1
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Automatic differentiation of nonsmooth iterative algorithms
Jérôme Bolte
,
Edouard Pauwels
,
Samuel Vaiter
Advances in Neural Information Processing Systems , Nov 2022, New Orleans, United States. 28 p
Conference papers
hal-03681143v1
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The Geometry of Sparse Analysis Regularization
Xavier Dupuis
,
Samuel Vaiter
2022
Preprints, Working Papers, ...
hal-02169356v2
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On the Universality of Graph Neural Networks on Large Random Graphs
Nicolas Keriven
,
Alberto Bietti
,
Samuel Vaiter
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems , Dec 2021, Virtual, Canada
Conference papers
hal-03382553v1
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