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07/28/2023
A supervised hybrid quantum machine learning solution to the emergency escape routing problem
Managing the response to natural disasters effectively can considerably ...
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06/14/2023
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions
Optimizing building configurations for an efficient use of energy is inc...
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03/28/2023
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware
The BrainScaleS-2 (BSS-2) system implements physical models of neurons a...
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03/22/2023
From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System
The first-generation of BrainScaleS, also referred to as BrainScaleS-1, ...
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01/13/2023
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces
Identifying meaningful concepts in large data sets can provide valuable ...
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08/25/2022
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives
Multi-objective optimization problems whose objectives have different ev...
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06/07/2022
Recent Advances in Bayesian Optimization
Bayesian optimization has emerged at the forefront of expensive black-bo...
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04/14/2022
Stream-based Active Learning with Verification Latency in Non-stationary Environments
Data stream classification is an important problem in the field of machi...
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03/21/2022
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
Neuromorphic systems open up opportunities to enlarge the explorative sp...
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12/10/2021
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory
An important issue during an engineering design process is to develop an...
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08/30/2021
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times
Most existing multiobjetive evolutionary algorithms (MOEAs) implicitly a...
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08/16/2021
Task-Sensitive Concept Drift Detector with Constraint Embedding
Detecting drifts in data is essential for machine learning applications,...
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05/10/2021
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition
Selecting a minimal feature set that is maximally informative about a ta...
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05/01/2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
In complex industrial settings, it is common practice to monitor the ope...
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03/11/2021
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks
Convolutional neural network training can suffer from diverse issues lik...
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03/11/2021
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data
Computational Fluid Dynamics (CFD) simulations are a very important tool...
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03/04/2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling
In the context of optimization approaches to engineering applications, t...
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11/12/2020
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
The continuously growing amount of monitored data in the Industry 4.0 co...
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06/23/2020
hxtorch: PyTorch for BrainScaleS-2 – Perceptrons on Analog Neuromorphic Hardware
We present software facilitating the usage of the BrainScaleS-2 analog n...
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06/23/2020
hxtorch: PyTorch for ANNs on BrainScaleS-2
We present software facilitating the usage of the BrainScaleS-2 analog n...
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03/30/2020
The Operating System of the Neuromorphic BrainScaleS-1 System
BrainScaleS-1 is a wafer-scale mixed-signal accelerated neuromorphic sys...
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10/16/2019
Exploring the fitness landscape of a realistic turbofan rotor blade optimization
Aerodynamic shape optimization has established itself as a valuable tool...
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10/02/2019
Limits and trade-offs of topological network robustness
We investigate the trade-off between the robustness against random and t...
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07/06/2018
Generative models on accelerated neuromorphic hardware
The traditional von Neumann computer architecture faces serious obstacle...
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03/17/2017
Pattern representation and recognition with accelerated analog neuromorphic systems
Despite being originally inspired by the central nervous system, artific...
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03/06/2017
