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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
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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

Application-Specific Arithmetic

Florent de Dinechin , Martin Kumm
Springer International Publishing, 2024, 978-3-031-42808-1. ⟨10.1007/978-3-031-42808-1⟩
Ouvrages hal-04715553v1
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Investigating on Gradient Regularization for Testing Neural Networks

Nicolo Bellarmino , Alberto Bosio , Riccardo Cantoro , Annachiara Ruospo , Ernesto Sanchez , et al.
LOD 2024 : 10th International Conference on machine Learning, Optimization and Data science, Sep 2024, Riva de Sole, Italy
Communication dans un congrès hal-04604264v1
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Path-metrics, pruning, and generalization

Antoine Gonon , Nicolas Brisebarre , Elisa Riccietti , Rémi Gribonval
2024
Pré-publication, Document de travail hal-04584311v2

Resilience of deep learning applications: where we are and where we want to go

Cristiana Bolchini , Alberto Bosio
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), Mar 2024, Valencia (Espagne), Spain
Communication dans un congrès hal-04674837v1
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Make Inference Faster: Efficient GPU Memory Management for Butterfly Sparse Matrix Multiplication

Antoine Gonon , Léon Zheng , Pascal Carrivain , Quoc-Tung Le
2024
Pré-publication, Document de travail hal-04584450v2