
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
Computational fluid dynamics (CFD) is a valuable tool for personalised, ...
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Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
Inspection and maintenance are two crucial aspects of industrial pipelin...
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LowDimensional State and Action Representation Learning with MDP Homomorphism Metrics
Deep Reinforcement Learning has shown its ability in solving complicated...
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Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces
Autonomous robots require high degrees of cognitive and motoric intellig...
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Learning normal form autoencoders for datadriven discovery of universal,parameterdependent governing equations
Complex systems manifest a small number of instabilities and bifurcation...
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Low Dimensional State Representation Learning with Rewardshaped Priors
Reinforcement Learning has been able to solve many complicated robotics ...
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Learned SVD: solving inverse problems via hybrid autoencoding
Our world is full of physicsdriven data where effective mappings betwee...
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Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition
This paper focuses on multiscale approaches for variational methods and...
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Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis
In biomedical imaging reliable segmentation of objects (e.g. from small ...
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Optimal Data Collection For Informative Rankings Expose WellConnected Graphs
Given a graph where vertices represent alternatives and arcs represent p...
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Christoph Brune
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