Vladimir Semenov
Vladimir Semenov
Serhii Denysov
Optimizing Network Economics Problem with Adaptive Algorithms for Variational Inequalities.
1-10
2023
DSMSI (1)
https://ceur-ws.org/Vol-3687/Paper_1.pdf
conf/dsmsi/2023
db/conf/dsmsi/dsmsi2023.html#SemenovD23
Vladimir Semenov
Oleh Kharkov
The Regularized Operator Extrapolation Algorithm for Variational Inequalities.
33-43
2023
DSMSI (2)
https://ceur-ws.org/Vol-3746/Paper_4.pdf
conf/dsmsi/2023-2
db/conf/dsmsi/dsmsi2023-2.html#SemenovK23
Vladimir Semenov
Optically addressed spatial light modulators as generic dynamical systems for novel computing substrates. (Modulateurs spatiaux de lumière tout-optique destinés à la conception de nouveaux processeurs basés sur des systèmes dynamiques complexes).
2022
University of Burgundy - Franche-Comté
https://tel.archives-ouvertes.fr/tel-03851539
Vladimir Semenov
Serhii Denysov
Convergence of Adaptive Operator Extrapolation Method for Operator Inclusions In Banach Spaces.
186-199
2022
CMIS
https://ceur-ws.org/Vol-3137/paper16.pdf
conf/cmis/2022
db/conf/cmis/cmis2022.html#SemenovD22
Sergey Denisov
Vladimir Semenov
Convergence of Adaptive Forward-Reflected-Backward Algorithm for Solving Variational Inequalities.
116-127
2021
IntSol Workshops
https://ceur-ws.org/Vol-3106/Paper_11.pdf
conf/intsol/2021w
db/conf/intsol/intsol2021w.html#DenisovS21
Serhii Denysov
Vladimir Semenov
Theoretical Bound of the Complexity of Someextragradient-Type Algorithms for Variational Inequalities in Banach Spaces.
144-155
2021
IT&I Workshops
https://ceur-ws.org/Vol-3179/Paper_14.pdf
conf/iti2/2021w
db/conf/iti2/iti2021w.html#DenysovS21
Vladimir Semenov
Yana Vedel
Convergence of Adaptive Methods for Equilibrium Problems in Hadamard Spaces.
321-335
2020
IT&I Workshops
https://ceur-ws.org/Vol-2845/Paper_30.pdf
conf/iti2/2020w
db/conf/iti2/iti2020w.html#SemenovV20
Yana Vedel
Vladimir Semenov
Adaptive Extraproximal Algorithm for the Equilibrium Problem in Hadamard Spaces.
287-300
2020
OPTIMA
https://doi.org/10.1007/978-3-030-62867-3_21
conf/optima/2020
db/conf/optima/optima2020.html#VedelS20
Viacheslav Dudar
Vladimir Semenov
Use of symmetric kernels for convolutional neural networks.
2018
abs/1805.09421
CoRR
http://arxiv.org/abs/1805.09421
db/journals/corr/corr1805.html#abs-1805-09421
Viacheslav Dudar
Giovanni Chierchia
Emilie Chouzenoux
Jean-Christophe Pesquet
Vladimir Semenov
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training.
2018
abs/1805.09430
CoRR
http://arxiv.org/abs/1805.09430
db/journals/corr/corr1805.html#abs-1805-09430
Viacheslav Dudar
Giovanni Chierchia
Emilie Chouzenoux
Jean-Christophe Pesquet
Vladimir Semenov
A two-stage subspace trust region approach for deep neural network training.
291-295
2017
EUSIPCO
https://doi.org/10.23919/EUSIPCO.2017.8081215
conf/eusipco/2017
db/conf/eusipco/eusipco2017.html#DudarCCPS17
Giovanni Chierchia
Emilie Chouzenoux
Sergey Denisov
Serhii Denysov
Viacheslav Dudar
Oleh Kharkov
Jean-Christophe Pesquet
Yana Vedel