Sebastian Schmitt

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 61

Top Topics

Regularization Method

Transfer Learning

Top Venues

Bildverarbeitung für die Medizin

Publications

Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Trans. Syst. Man Cybern. Syst. 54 (1) (2024)
Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System. CoRR (2023)
Sebastian Schmitt, Gajanan Kanagalingam, Florian Fleckenstein, Daniel Froescher, Hans Hasse, Simon Stephan
Database to Transferable Force Fields. J. Chem. Inf. Model. 63 (22) (2023)
Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system. Neuromorph. Comput. Eng. 3 (3) (2023)
Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
Simulation-based inference for model parameterization on analog neuromorphic hardware. Neuromorph. Comput. Eng. 3 (4) (2023)
Nathan Haboury, Mohammad Kordzanganeh, Sebastian Schmitt, Ayush Joshi, Igor Tokarev, Lukas Abdallah, Andrii Kurkin, Basil Kyriacou, Alexey Melnikov
A supervised hybrid quantum machine learning solution to the emergency escape routing problem. CoRR (2023)
Felix Lanfermann, Qiqi Liu, Yaochu Jin, Sebastian Schmitt
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions. CoRR (2023)
Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, Sebastian Schmitt
Data re-uploading with a single qudit. Quantum Mach. Intell. 5 (2) (2023)
Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware. CoRR (2023)
Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. CoRR (2023)
Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. J. Mach. Learn. Res. 24 (2023)
Margarita Veshchezerova, Mikhail Somov, David Bertsche, Steffen Limmer, Sebastian Schmitt, Michael Perelshtein, Ayush Joshi Tripathi
A Hybrid Quantum-Classical Approach to the Electric Mobility Problem. QCE (2023)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Recent Advances in Bayesian Optimization. ACM Comput. Surv. 55 (13s) (2023)
Mikel Garcia de Andoin, Alberto Bottarelli, Sebastian Schmitt, Izaskun Oregi, Philipp Hauke, Mikel Sanz
Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic. ITSC (2023)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Recent Advances in Bayesian Optimization. CoRR (2022)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. 30 (2) (2022)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR (2022)
Felix Lanfermann, Sebastian Schmitt
Concept Identification for Complex Engineering Datasets. CoRR (2022)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Stream-Based Active Learning with Verification Latency in Non-stationary Environments. ICANN (4) (2022)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. CoRR (2022)
Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Sebastian Jeltsch, Jakob Kaiser, Johann Klähn, Mitja Kleider, Christoph Koke, José Montes, Paul Müller, Johannes Partzsch, Felix Passenberg, Hartmut Schmidt, Bernhard Vogginger, Jonas Weidner, Christian Mayr, Johannes Schemmel
The operating system of the neuromorphic BrainScaleS-1 system. Neurocomputing 501 (2022)
Felix Lanfermann, Sebastian Schmitt
Concept identification for complex engineering datasets. Adv. Eng. Informatics 53 (2022)
Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. ICDM (Workshops) (2022)
Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski, Arne Emmel, Jakob Kaiser, Christian Mauch, Sebastian Schmitt, Philipp Spilger, Raphael Stock, Yannik Stradmann, Johannes Weis, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Falk Leonard Ebert, Julian Göltz, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Aron Leibfried, Christian Pehle, Johannes Schemmel
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. CoRR (2022)
Andrea Castellani, Sebastian Schmitt, Stefano Squartini
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. IEEE Trans. Ind. Informatics 17 (7) (2021)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise. ECML/PKDD (1) (2021)
Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. CoRR (2021)
Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling. CoRR (2021)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise. CoRR (2021)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. CoRR (2021)
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data. CoRR (2021)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Task-Sensitive Concept Drift Detector with Constraint Embedding. SSCI (2021)
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks. CoRR (2021)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. 227 (2021)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Task-Sensitive Concept Drift Detector with Constraint Embedding. CoRR (2021)
Patricia Wollstadt, Sebastian Schmitt
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. SSCI (2021)
Patricia Wollstadt, Sebastian Schmitt
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. CoRR (2021)
Sebastian Schmitt, Simon Stephan, Benjamin Kirsch, Jan C. Aurich, Eberhard Kerscher, Herbert M. Urbassek, Hans Hasse
Molecular Simulation Study on the Influence of the Scratching Velocity on Nanoscopic Contact Processes. iPMVM (2020)
Felix Lanfermann, Sebastian Schmitt, Stefan Menzel
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. SSCI (2020)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO (2020)
Markus Bockhacker, Hannah Syrek, Max Elstermann von Elster, Sebastian Schmitt, Henning Roehl
Evaluating Usability of a Touchless Image Viewer in the Operating Room. Appl. Clin. Inform. 11 (01) (2020)
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
Comparison of deep learning and hand crafted features for mining simulation data. ICPR (2020)
Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML (2020)
Andrea Castellani, Sebastian Schmitt, Stefano Squartini
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. CoRR (2020)
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
Norm Loss: An efficient yet effective regularization method for deep neural networks. ICPR (2020)
Robin Exner, Quoc Hao Ngo, Junjie Liang, Max Ellerich, Robin Günther, Sebastian Schmitt, Robert H. Schmitt
A Failure Handling Process Model for Failure Management in Manual Assembly. IEEM (2020)
Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann de Oliveira, Joscha Ilmberger, Sebastian Jeltsch, Jakob Kaiser, Johann Klähn, Mitja Kleider, Christoph Koke, José Montes, Paul Müller, Johannes Partzsch, Felix Passenberg, Hartmut Schmidt, Bernhard Vogginger, Jonas Weidner, Christian Mayr, Johannes Schemmel
The Operating System of the Neuromorphic BrainScaleS-1 System. CoRR (2020)
Sander van Rijn, Sebastian Schmitt
MF2: A Collection of Multi-Fidelity Benchmark Functions in Python. J. Open Source Softw. 5 (52) (2020)
Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. CoRR (2020)
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. 519 (2020)
Sina Däubener, Sebastian Schmitt, Hao Wang, Peter Krause, Thomas Bäck
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms. ICDM (2019)
Christopher Priester, Sebastian Schmitt, Tiago P. Peixoto
Limits and trade-offs of topological network robustness. CoRR (2019)
Jakub Kmec, Sebastian Schmitt
Exploring the fitness landscape of a realistic turbofan rotor blade optimization. CoRR (2019)
Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
Multi-fidelity surrogate model approach to optimization. GECCO (Companion) (2018)
Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Generative models on accelerated neuromorphic hardware. CoRR (2018)
Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew
Learning Fluid Flows. IJCNN (2018)
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR (2017)
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, Robert D. St. Louis, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS (2017)
Heinrich M. Overhoff, Anke Poelstra, Sebastian Schmitt
Needle Detection in In-Plane-Acquired 3D Ultrasound Image Volumes Using Stick Filtering and a Heuristic. Bildverarbeitung für die Medizin (2017)
Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. IJCNN (2017)
Sebastian Schmitt, Johann Klaehn, Guillaume Bellec, Andreas Grübl, Maurice Guettler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Vitali Karasenko, Mitja Kleider, Christoph Koke, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. CoRR (2017)
Sebastian Schmitt, Christian Sobotta, Morwan Choli, Heinrich M. Overhoff
Passive 3D Needle Tip Tracking in Freehand MR-Guided Interventions with Needle Model Visualization. Bildverarbeitung für die Medizin (2015)
Sebastian Schmitt, Morwan Choli, Heinrich M. Overhoff
Needle position estimation from sub-sampled k-space data for MRI-guided interventions. Medical Imaging: Image-Guided Procedures (2015)
Sebastian Schmitt, Johannes Luderschmidt, Nadia Haubner, Simon Lehmann, Ralf Dörner, Ulrich Schwanecke
Goal-Snapping: An Empirical Evaluation of Object Snapping in Tangible and Multi-Touch Interfaces. ARCS Workshops (2012)