Sebastian Schmitt

Orcid: 0000-0001-7130-5483

According to our database1, Sebastian Schmitt authored at least 54 papers between 2012 and 2024.

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Bibliography

2024
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

2023
Data re-uploading with a single qudit.
Quantum Mach. Intell., December, 2023

Simulation-based inference for model parameterization on analog neuromorphic hardware.
Neuromorph. Comput. Eng., December, 2023

Extension of the <i>MolMod</i> Database to Transferable Force Fields.
J. Chem. Inf. Model., November, 2023

Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data].
Dataset, November, 2023

From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system.
Neuromorph. Comput. Eng., September, 2023

Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data].
Dataset, September, 2023

Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data].
Dataset, April, 2023

A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition.
J. Mach. Learn. Res., 2023

Recent Advances in Bayesian Optimization.
ACM Comput. Surv., 2023

A supervised hybrid quantum machine learning solution to the emergency escape routing problem.
CoRR, 2023

Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions.
CoRR, 2023

A Hybrid Quantum-Classical Approach to the Electric Mobility Problem.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2022

The operating system of the neuromorphic BrainScaleS-1 system.
Neurocomputing, 2022

Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times.
Evol. Comput., 2022

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.
CoRR, 2022

Concept identification for complex engineering datasets.
Adv. Eng. Informatics, 2022

Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Stream-Based Active Learning with Verification Latency in Non-stationary Environments.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.
Dataset, February, 2021

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning.
IEEE Trans. Ind. Informatics, 2021

Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Knowl. Based Syst., 2021

Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.
CoRR, 2021

PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.
CoRR, 2021

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling.
CoRR, 2021

Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Task-Sensitive Concept Drift Detector with Constraint Embedding.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
MF2: A Collection of Multi-Fidelity Benchmark Functions in Python.
J. Open Source Softw., 2020

An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization.
Inf. Sci., 2020

Evaluating Usability of a Touchless Image Viewer in the Operating Room.
Appl. Clin. Inform., 2020

An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Molecular Simulation Study on the Influence of the Scratching Velocity on Nanoscopic Contact Processes.
Proceedings of the 2nd International Conference of the DFG International Research Training Group 2057, 2020

A Failure Handling Process Model for Failure Management in Manual Assembly.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

Comparison of deep learning and hand crafted features for mining simulation data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Norm Loss: An efficient yet effective regularization method for deep neural networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Exploring the fitness landscape of a realistic turbofan rotor blade optimization.
CoRR, 2019

Limits and trade-offs of topological network robustness.
CoRR, 2019

Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
Proceedings of the Advances in Data Mining, 2019

2018
Generative models on accelerated neuromorphic hardware.
CoRR, 2018

Learning Fluid Flows.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-fidelity surrogate model approach to optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System.
CoRR, 2017

Pattern representation and recognition with accelerated analog neuromorphic systems.
CoRR, 2017



Needle Detection in In-Plane-Acquired 3D Ultrasound Image Volumes Using Stick Filtering and a Heuristic.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2015
Needle position estimation from sub-sampled k-space data for MRI-guided interventions.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Passive 3D Needle Tip Tracking in Freehand MR-Guided Interventions with Needle Model Visualization.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2012
Goal-Snapping: An Empirical Evaluation of Object Snapping in Tangible and Multi-Touch Interfaces.
Proceedings of the ARCS 2012 Workshops, 28. Februar - 2. März 2012, München, Germany, 2012


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