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Avraam Chatzimichailidis
Avraam Chatzimichailidis
Fraunhofer ITWM, Competence Center for High Performance Computing
Verified email at itwm.fraunhofer.de
Title
Cited by
Cited by
Year
Combating mode collapse in gan training: An empirical analysis using hessian eigenvalues
R Durall, A Chatzimichailidis, P Labus, J Keuper
arXiv preprint arXiv:2012.09673, 2020
432020
Proxsgd: Training structured neural networks under regularization and constraints
Y Yang, Y Yuan, A Chatzimichailidis, RJG van Sloun, L Lei, S Chatzinotas
International Conference on Learning Representations, 2019
212019
Gradvis: Visualization and second order analysis of optimization surfaces during the training of deep neural networks
A Chatzimichailidis, J Keuper, FJ Pfreundt, NR Gauger
2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2019
72019
Msm: Multi-stage multicuts for scalable image clustering
K Ho, A Chatzimichailidis, M Keuper, J Keuper
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
32021
Alternative Optimization Methods for Training of Large Deep Neural Networks
A Chatzimichailidis
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023
2023
GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Sparsity
A Chatzimichailidis, A Zela, J Keuper, Y Yang
2022
[AutoMLConf'22]: GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Teaser
A Chatzimichailidis, A Zela, J Keuper, Y Yang
2022
Group Sparsity: A Unified Framework for Network Pruning and Neural Architecture Search
A Chatzimichailidis, SS Arber Zela, P Labus, J Keuper, F Hutter, Y Yang
CVPR NAS Workshop, 2021
2021
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues
R Durall Lopez, A Chatzimichailidis, P Labus, J Keuper
2020
MLHPC 2019
G Heinrich, I Frosio, S Prudhomme, S Adrian, GE Moon, D Newman-Griffis, ...
Studies on time dependent activity distributions for the SAFIR project
A Chatzimichailidis
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Articles 1–11