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ORCIDAvraam Chatzimichailidis
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2020 – today
- 2023
[b1]Avraam Chatzimichailidis:
Alternative Optimization Methods for Training of Large Deep Neural Networks. Kaiserslautern University of Technology, Germany, 2023- 2021
- [c4]Kalun Ho, Avraam Chatzimichailidis, Margret Keuper, Janis Keuper:
MSM: Multi-stage Multicuts for Scalable Image Clustering. ISC Workshops 2021: 267-284 - [c3]Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper:
Combating Mode Collapse in GAN Training: An Empirical Analysis using Hessian Eigenvalues. VISIGRAPP (4: VISAPP) 2021: 211-218 - 2020
- [c2]Yang Yang, Yaxiong Yuan, Avraam Chatzimichailidis, Ruud J. G. van Sloun, Lei Lei, Symeon Chatzinotas:
ProxSGD: Training Structured Neural Networks under Regularization and Constraints. ICLR 2020 - [i2]Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper:
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues. CoRR abs/2012.09673 (2020)
2010 – 2019
- 2019
- [c1]Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, Nicolas R. Gauger
:
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. MLHPC@SC 2019: 66-74 - [i1]Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper:
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. CoRR abs/1909.12108 (2019)
Coauthor Index
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