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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 31 - 53 of 53
Learning for Decentralized, Long-Horizon Manipulation
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
IngenieurwissenschaftenSystemtechnik
Performance Analysis of the Ice-Sheet and Sea-Level System Model (ISSM)
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
IngenieurwissenschaftenInformatik
Performance Enginnering of the Confined Unconfined Aquifer System Model (CUAS)
In the context of earth system modeling the simulation of ice-sheets is an important aspect. Ice-sheet modeling contains ...
IngenieurwissenschaftenInformatik-
Visuomotor Control of Pouring Liquids
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
LebenswissenschaftenNeurowissenschaft 
Algorithm Unfolding in Multicell Downlink MIMO Precoding
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik
Bayesian Inference of Cyclic Transcription Dynamics
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
Deep Reinforcement Learning: Benchmarking, Algorithms and Applications
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Ingenieurwissenschaften
Designing an Efficient Neural Architecture Search
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
IngenieurwissenschaftenInformatik-
From RNA Sequence to Coarse-Grained Molecular Dynamics
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik -
Image Analysis and Calibration of High Dimensional Deformable Cell Models in Complex Geometries Using Advanced Interaction Schemes
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
LebenswissenschaftenGrundlagen der Biologie und Medizin 
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
LebenswissenschaftenNeurowissenschaft
Learning Physically Interactive Behaviours for Human-Robot Interaction
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
IngenieurwissenschaftenInformatik
Measure-Valued Derivatives for Reinforcement Learning
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
IngenieurwissenschaftenInformatik
Testing and Development of Methods for the Calculation of Phase Diagrams of Interatomic Potentials
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
When to Trust Your Model in Model-based Value Expansion?
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
IngenieurwissenschaftenInformatik
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
IngenieurwissenschaftenInformatik
Balloon Estimators for Improving and Scaling the Nonparametric Off-Policy Policy Gradient
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
IngenieurwissenschaftenInformatik-
Constraint Space Projection Reinforcement Learning
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
IngenieurwissenschaftenInformatik -
Evaluating and Improving Recurrent Kalman Networks
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
IngenieurwissenschaftenInformatik -
Multi-Label Rule Learning
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
IngenieurwissenschaftenInformatik 
Efficient Gas Engines for Maritime Applications of the Next Generation
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Mapping the Genetics of Neuropsychological Traits to Molecular NETworks of Human Brain
The complex architecture of neuropsychiatric disorders comprises of distinct neuropsychological traits. Previous studies ...
LebenswissenschaftenGrundlagen der Biologie und Medizin-
Efficient representations of deep neural networks
Deep neural networks (DNNs) have gained extreme popularity in recent years, advancing state-of-the- art results in ...
IngenieurwissenschaftenInformatik
