Schwerpunkte/Kompetenzen
- Deep Learning
- Optimierung
- Second Order Methods
- Cluster Computing
Sammlung der Publikationen von Avraam Chatzimichailidis in der Fraunhofer-Publica
Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
---|---|---|
2022 | [AutoMLConf'22]: GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Teaser Chatzimichailidis, Avraam; Zela, Arber; Keuper, Janis; Yang, Yang |
Video |
2021 | Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues Durall, Ricard; Chatzimichailidis, Avraam; Labus, Peter; Keuper, Janis |
Konferenzbeitrag Conference Paper |
2020 | Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues Durall, Ricard; Chatzimichailidis, Avraam; Labus, Peter; Keuper, Janis |
Paper |
2020 | ProxSGD: Training Structured Neural Networks under Regularization and Constraints Yang, Yang; Yuan, Yaxiong; Chatzimichailidis, Avraam; sloun, Ruud van; Lei, Lei; Chatzinotas, Symeon |
Konferenzbeitrag Conference Paper |
2019 | GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks Chatzimichailidis, Avraam; Pfreundt, Franz-Josef; Gauger, Nicolas R.; Keuper, Janis |
Paper |