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Mahsa Yousefi
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2020 – today
- 2024
- [j2]Natasa Krejic, Natasa Krklec Jerinkic, Angeles Martinez, Mahsa Yousefi:
A non-monotone trust-region method with noisy oracles and additional sampling. Comput. Optim. Appl. 89(1): 247-278 (2024) - [i3]Chunlei Xu, Michael Pregesbauer, Naga Sravani Chilukuri, Daniel Windhager, Mahsa Yousefi, Pedro Julián, Lothar Ratschbacher:
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study. CoRR abs/2404.15961 (2024) - 2023
- [j1]Mahsa Yousefi, Angeles Martinez:
Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods. Algorithms 16(10): 490 (2023) - [i2]Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi:
Majorization-Minimization for sparse SVMs. CoRR abs/2308.16858 (2023) - 2022
- [c2]Mahsa Yousefi, Ángeles Martínez Calomardo:
A Stochastic Modified Limited Memory BFGS for Training Deep Neural Networks. SAI (2) 2022: 9-28 - [c1]Mahsa Yousefi, Ángeles Martínez Calomardo:
A stochastic nonmonotone trust-region training algorithm for image classification. SITIS 2022: 522-529 - [i1]Mahsa Yousefi, Angeles Martinez:
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning. CoRR abs/2205.09121 (2022)
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last updated on 2024-08-23 19:25 CEST by the dblp team
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