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ORCIDSebastian Schmitt
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]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): 143-155 (2024)- 2023
- [j14]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Recent Advances in Bayesian Optimization. ACM Comput. Surv. 55(13s): 287:1-287:36 (2023) - [j13]Sebastian Schmitt, Gajanan Kanagalingam, Florian Fleckenstein, Daniel Froescher, Hans Hasse, Simon Stephan:
Extension of the MolMod Database to Transferable Force Fields. J. Chem. Inf. Model. 63(22): 7148-7158 (2023) - [j12]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: 131:1-131:44 (2023) - [j11]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): 34013 (2023) - [j10]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): 44006 (2023) - [j9]Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, Sebastian Schmitt:
Data re-uploading with a single qudit. Quantum Mach. Intell. 5(2): 1-12 (2023) - [c23]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: 5318-5323 - [c22]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: 636-641 - [d5]Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]. 1.0. heiDATA, 2023 [all versions]
- [d4]Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]. 1.1. heiDATA, 2023 [all versions] - [d3]Raphael Stock, Jakob Kaiser, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data]. heiDATA, 2023 - [i26]Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt:
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. CoRR abs/2301.05525 (2023) - [i25]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 abs/2303.12359 (2023) - [i24]Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware. CoRR abs/2303.16056 (2023) - [i23]Felix Lanfermann, Qiqi Liu, Yaochu Jin, Sebastian Schmitt:
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions. CoRR abs/2306.08318 (2023) - [i22]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 abs/2307.15682 (2023) - 2022
- [j8]Felix Lanfermann, Sebastian Schmitt:
Concept identification for complex engineering datasets. Adv. Eng. Informatics 53: 101704 (2022) - [j7]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): 221-251 (2022) - [j6]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: 790-810 (2022) - [c21]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Stream-Based Active Learning with Verification Latency in Non-stationary Environments. ICANN (4) 2022: 260-272 - [c20]Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt:
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. ICDM (Workshops) 2022: 180-189 - [d2]Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck:
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures. Version v2. Zenodo, 2022 [all versions] - [i21]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 abs/2203.11102 (2022) - [i20]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR abs/2204.06822 (2022) - [i19]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Recent Advances in Bayesian Optimization. CoRR abs/2206.03301 (2022) - [i18]Felix Lanfermann, Sebastian Schmitt:
Concept Identification for Complex Engineering Datasets. CoRR abs/2206.06155 (2022) - [i17]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. CoRR abs/2208.12217 (2022) - 2021
- [j5]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: 107190 (2021) - [j4]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): 4733-4742 (2021) - [c19]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: 469-484 - [c18]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Task-Sensitive Concept Drift Detector with Constraint Embedding. SSCI 2021: 1-8 - [c17]Patricia Wollstadt, Sebastian Schmitt:
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. SSCI 2021: 1-8 - [d1]Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck:
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures. Version v1. Zenodo, 2021 [all versions] - [i16]Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck:
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling. CoRR abs/2103.03280 (2021) - [i15]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 abs/2103.06552 (2021) - [i14]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 abs/2103.06583 (2021) - [i13]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 abs/2105.00349 (2021) - [i12]Patricia Wollstadt, Sebastian Schmitt, Michael Wibral:
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. CoRR abs/2105.04187 (2021) - [i11]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Task-Sensitive Concept Drift Detector with Constraint Embedding. CoRR abs/2108.06980 (2021) - [i10]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 abs/2108.13339 (2021) - [i9]Patricia Wollstadt, Sebastian Schmitt:
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. CoRR abs/2112.05609 (2021) - 2020
- [j3]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): 88-94 (2020) - [j2]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. 519: 317-331 (2020) - [j1]Sander van Rijn, Sebastian Schmitt:
MF2: A Collection of Multi-Fidelity Benchmark Functions in Python. J. Open Source Softw. 5(52): 2049 (2020) - [c16]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: 587-594 - [c15]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: 3396-3403 - [c14]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: 8812-8818 - [c13]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: 1225-1229 - [c12]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: 17:1-17:16 - [c11]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: 189-200 - [c10]Felix Lanfermann, Sebastian Schmitt, Stefan Menzel:
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. SSCI 2020: 934-941 - [i8]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 abs/2003.13749 (2020) - [i7]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 abs/2006.13138 (2020) - [i6]Andrea Castellani, Sebastian Schmitt, Stefano Squartini:
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. CoRR abs/2011.06296 (2020)
2010 – 2019
- 2019
- [c9]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: 161-175 - [i5]Christopher Priester, Sebastian Schmitt, Tiago P. Peixoto:
Limits and trade-offs of topological network robustness. CoRR abs/1910.00818 (2019) - [i4]Jakub Kmec, Sebastian Schmitt:
Exploring the fitness landscape of a realistic turbofan rotor blade optimization. CoRR abs/1910.07268 (2019) - 2018
- [c8]Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck:
Multi-fidelity surrogate model approach to optimization. GECCO (Companion) 2018: 225-226 - [c7]Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew:
Learning Fluid Flows. IJCNN 2018: 1-8 - [i3]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 abs/1807.02389 (2018) - 2017
- [c6]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: 25-30 - [c5]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: 2227-2234 - [c4]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: 1-4 - [i2]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 abs/1703.01909 (2017) - [i1]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 abs/1703.06043 (2017) - 2015
- [c3]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: 89-94 - [c2]Sebastian Schmitt, Morwan Choli, Heinrich M. Overhoff:
Needle position estimation from sub-sampled k-space data for MRI-guided interventions. Image-Guided Procedures 2015: 94152G - 2012
- [c1]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: 87-98
Coauthor Index
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