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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 61 - 90 of 120
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
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions
Trajectory optimization and model predictive control are essential techniques underpinning advanced robotic applications ...
IngenieurwissenschaftenInformatik
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure II
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
NaturwissenschaftenTeilchen, Kerne und Felder
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
Matrix Elements of New Families of Chiral Interactions
The goal of ab initio nuclear structure theory is the description of nuclei from first principles without uncontrolled ...
NaturwissenschaftenTeilchen, Kerne und Felder
Measure-Valued Derivatives for Reinforcement Learning
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
IngenieurwissenschaftenInformatik
Modeling of Large Proteins in DNA Repair
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
NaturwissenschaftenIngenieurwissenschaftenInformatik
Noise Resilient Empirical Performance Modeling with Deep Neural Networks
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
IngenieurwissenschaftenInformatik
Precision Scale Setting Directly at High Temperatures Using Gradient Flow
The overarching goal of our research project is the determination of the QCD topological susceptibility Xtop(T) at very ...
NaturwissenschaftenTeilchen, Kerne und Felder
Scalability of OpenMP
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
IngenieurwissenschaftenInformatik
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
Computationally-Intensive Subproblems in FPGA-Based Accelerator Design
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
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 
Design-Space Exploration for FPGA-Accelerators in Cloud Environments
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
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 
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure
The goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on the ...
NaturwissenschaftenTeilchen, Kerne und Felder-
Model Learning With Recurrent Kalman Networks
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
IngenieurwissenschaftenInformatik -
Multi-Label Rule Learning
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
IngenieurwissenschaftenInformatik 
Network Traffic Prediction with Neural Networks
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
IngenieurwissenschaftenInformatik
Parallelizing the Level 2A Processor for Sentinel-2 Satellite Imagery
In June 2017, the European Space Agency started systematic Level 2A processing of Sentinel- 2 acquisitions over Europe ...
IngenieurwissenschaftenInformatik-
Performance Modeling at a Discount
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
IngenieurwissenschaftenInformatik -
Stochastic Search for Applications in Robotics
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
IngenieurwissenschaftenInformatik 
Topological Susceptibility at High Temperatures from Lattice Quantum Chromodynamics
The theory of the strong interaction, Quantum Chromodynamics, is known to have complicated topological structures called ...
NaturwissenschaftenTeilchen, Kerne und Felder
Decoding Concurrent IEEE 802.11 Transmissions with Imprecise Synchronization
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
IngenieurwissenschaftenElektrotechnik und InformationstechnikInformatik-
Deep Reinforcement Learning under Uncertainty
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
IngenieurwissenschaftenInformatik 
Electrical Conductivity and Relaxation via Colored Noise in a Hadronic Gas
Calculating transport properties such as the electrical conductivity of a strongly interacting hadron gas is a difficult ...
NaturwissenschaftenTeilchen, Kerne und Felder-
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure I
The ab initio description of nuclear physics phenomena has progressed tremendously over the past years. In particular ...
NaturwissenschaftenTeilchen, Kerne und Felder 
Hadronic Non-Equilibrium Photon Production
The smallest constituents of matter and their properties are studied by means of relativistic heavy ion collisions ...
NaturwissenschaftenTeilchen, Kerne und Felder
