- Language
-
Englisch
- Identifier
-
1223616975
Subject
Sparse grids; Geometry; Learning
Contributor
Röhner, Kilian Michael
Bungartz, Hans-Joachim
Bungartz, Hans-Joachim
Hegland, Markus
Bungartz, Hans-Joachim
Bungartz, Hans-Joachim
Hegland, Markus
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:57 PM CET
Object type
- Monografie
Associated
- Röhner, Kilian Michael
- Bungartz, Hans-Joachim
- Bungartz, Hans-Joachim
- Hegland, Markus
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Analysis and Performance Engineering for Learning with Sparse Grids
A Spatially Adaptive and Massively Parallel Implementation of the Fault-Tolerant Combination Technique
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Resource-Aware and Elastic Parallel Software Development for Distributed-Memory HPC Systems
Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems
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Learning Neural Graph Representations in Non-Euclidean Geometries
Full Waveform Inversion for Ultrasonic Nondestructive Testing
Operator-informed machine learning: Extracting geometry and dynamics from time series data
Sparse Grids for Big Data: Exploiting Parsimony for Large-Scale Learning
Model Order Reduction of Parametrized Systems with Sparse Grid Learning Techniques
Analysis and Performance Engineering for Learning with Sparse Grids
A Spatially Adaptive and Massively Parallel Implementation of the Fault-Tolerant Combination Technique
Model-based Optical Flow : Layers, Learning, and Geometry
Simulating pedestrian dynamics : Towards natural locomotion and psychological decision making
Resource-Aware and Elastic Parallel Software Development for Distributed-Memory HPC Systems
Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems
Non-intrusive Model Order Reduction based on Joint Space Sampling and Active Learning
Learning Neural Graph Representations in Non-Euclidean Geometries