# Projects

Hessian scientists of various disciplines are using High Performance Computers for their research.

Hessian scientists of various disciplines are using High Performance Computers for their research.

Displaying 1 - 27 of 27

### Automatic Code Parallelization

The Software-Factory 4.0 (SF4.0) is a 4-year LOEWE1 project funded by the German State of Hesse and involves several ...

Engineering SciencesComputer Science### Designing an Efficient Neural Architecture Search

Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...

Engineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### Effect of Infinite Time-Horizons on Genetic Algorithms

Genetic Algorithms (GAs) are a popular heuristic optimization method inspired by biological evolution. We implemented a ...

Engineering SciencesComputer Science### 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 ...

Life SciencesNeurosciences### Inverse Reinforcement Learning by Matching Feature Distributions

Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...

Engineering SciencesComputer Science### Measure-Valued Derivatives for Reinforcement Learning

Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...

Engineering SciencesComputer Science### 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 ...

Natural SciencesEngineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### Scalability of OpenMP

This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...

Engineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### Activation of Small Molecules With Metal-Free Systems

Ammonia borane (NH

_{3}BH_{3}) is an easy to handle solid capable of releasing up to 3 equivalents of dihydrogen and therefore ...Natural SciencesMolecular Chemistry### 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 ...

Engineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### Computational Modelling of Multiple Photoswitches

The computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...

Natural SciencesMolecular Chemistry### Computationally-Intensive Subproblems in FPGA-Based Accelerator Design

Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...

Engineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### Evaluating and Improving Recurrent Kalman Networks

Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...

Engineering SciencesComputer Science### Interpretable Reinforcement Learning

Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...

Engineering SciencesComputer Science### Model Learning With Recurrent Kalman Networks

Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...

Engineering SciencesComputer Science### Multi-Label Rule Learning

This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...

Engineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### 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 ...

Engineering SciencesComputer Science### Performance Modeling at a Discount

Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...

Engineering SciencesComputer Science### Prebiotic Formation of Sugars and Amino Acids Using Aminomethylene

After the matrix isolation of aminomethylene (H-C̈-NH2)

^{[1]}we study further the formation of amino acids and sugars in ...Natural SciencesMolecular Chemistry### Stochastic Search for Applications in Robotics

Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...

Engineering SciencesComputer Science