Scholar
Markus Götz
Google Scholar ID: eD2svJQAAAAJ
Group leader, Karlsruhe Institute of Technology (KIT), Helmholtz AI
Artificial Intelligence
AI for Energy
Energy for AI
Large Scale AI
Deep Learning
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
578
H-index
14
i10-index
18
Publications
20
Co-authors
81
list available
Publications
10 items
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling
2026
Cited
0
Sampling Parallelism for Fast and Efficient Bayesian Learning
2026
Cited
0
Inverse Design of Optical Multilayer Thin Films using Robust Masked Diffusion Models
2026
Cited
0
Differentiable Power-Flow Optimization
2026
Cited
0
Bayesian Lottery Ticket Hypothesis
2026
Cited
0
Exploring Federated Learning for Thermal Urban Feature Segmentation -- A Comparison of Centralized and Decentralized Approaches
2025
Cited
0
pyGinkgo: A Sparse Linear Algebra Operator Framework for Python
2025
Cited
0
Energy Consumption in Parallel Neural Network Training
2025
Cited
0
Load more
Co-authors
9 total
Achim Streit
Director of Scientific Computing Center (SCC), Professor for Computer Science, Karlsruhe
Charlotte Debus
Junior Group Leader, Karlsruhe Institute of Technology (KIT)
Daniel Coquelin
Karlsruhe Institute of Technology
Gabriele Cavallaro
Forschungszentrum Jülich and University of Iceland
Juan Pedro Gutiérrez Hermosillo Muriedas
Scientific Computing Center, Karlsruher Institute für Technologie
Jón Atli Benediktsson
Professor of Electrical and Computer Engineering, University of Iceland
Fabian Isensee
HIP Applied Computer Vision Lab, Division of Medical Image Computing, German Cancer Research Center
Sebastian Ziegler
Unknown affiliation
