Sebastian Schmitt

72 papers A* 1A 1B 4C 1Misc 1Journal 48Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enabling Low-Latency Machine learning on Radiation-Hard FPGAs with hls4ml. CoRR Katya Govorkova, Julian Garcia Pardinas, Vladimir Loncar, Victoria Nguyen, Sebastian Schmitt, Marco Pizzichemi, Loris Martinazzoli, Eluned Anne Smith
2026	J	`jnl`	Hybrid Machine Learning for Enhanced Prediction of Diffusion Coefficients in Liquids. CoRR Jens Wagner, Zeno Romero, Kerstin Münnemann, Sebastian Schmitt, Thomas Specht, Hans Hasse, Fabian Jirasek
2026	J	`jnl`	Plastic Arbor: A modern simulation framework for synaptic plasticity - From single synapses to networks of morphological neurons. PLoS Comput. Biol. Jannik Luboeinski, Sebastian Schmitt, Shirin Shafiee Kamalabad, Thorsten Hater, Fabian Bösch, Christian Tetzlaff
2025	J	`jnl`	A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning. CoRR Jens Engel, Andrea Castellani, Patricia Wollstadt, Felix Lanfermann, Thomas Schmitt, Sebastian Schmitt, Lydia Fischer, Steffen Limmer, David Luttropp, Florian Jomrich, René Unger, Tobias Rodemann
2025	—	`conf`	Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware. NICE Hartmut Schmidt, Andreas Grübl, José Montes, Eric Müller, Sebastian Schmitt, Johannes Schemmel
2025	J	`jnl`	Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation. CoRR Christian Internò, Andrea Castellani, Sebastian Schmitt, Fabio Stella, Barbara Hammer
2024	J	`jnl`	Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Trans. Syst. Man Cybern. Syst. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2024	J	`jnl`	Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware. CoRR Hartmut Schmidt, Andreas Grübl, José Montes, Eric Müller, Sebastian Schmitt, Johannes Schemmel
2024	J	`jnl`	Plastic Arbor: a modern simulation framework for synaptic plasticity - from single synapses to networks of morphological neurons. CoRR Jannik Luboeinski, Sebastian Schmitt, Shirin Shafiee Kamalabad, Thorsten Hater, Fabian Bösch, Christian Tetzlaff
2023	Misc	`conf`	A Hybrid Quantum-Classical Approach to the Electric Mobility Problem. QCE Margarita Veshchezerova, Mikhail Somov, David Bertsche, Steffen Limmer, Sebastian Schmitt, Michael Perelshtein, Ayush Joshi Tripathi
2023	J	`jnl`	A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. J. Mach. Learn. Res. Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
2023	J	`jnl`	A supervised hybrid quantum machine learning solution to the emergency escape routing problem. CoRR Nathan Haboury, Mohammad Kordzanganeh, Sebastian Schmitt, Ayush Joshi, Igor Tokarev, Lukas Abdallah, Andrii Kurkin, Basil Kyriacou, Alexey Melnikov
2023	J	`jnl`	Data re-uploading with a single qudit. Quantum Mach. Intell. Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, Sebastian Schmitt
2023	J	`jnl`	Extension of the J. Chem. Inf. Model. Sebastian Schmitt, Gajanan Kanagalingam, Florian Fleckenstein, Daniel Froescher, Hans Hasse, Simon Stephan
2023	—	`conf`	Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic. ITSC Mikel Garcia de Andoin, Alberto Bottarelli, Sebastian Schmitt, Izaskun Oregi, Philipp Hauke, Mikel Sanz
2023	J	`jnl`	From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System. CoRR Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
2023	J	`jnl`	From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system. Neuromorph. Comput. Eng. Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
2023	J	`jnl`	Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions. CoRR Felix Lanfermann, Qiqi Liu, Yaochu Jin, Sebastian Schmitt
2023	J	`jnl`	Recent Advances in Bayesian Optimization. ACM Comput. Surv. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2023	J	`jnl`	Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware. CoRR Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
2023	J	`jnl`	Simulation-based inference for model parameterization on analog neuromorphic hardware. Neuromorph. Comput. Eng. Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
2023	J	`jnl`	Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. CoRR Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
2022	J	`jnl`	A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. CoRR 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
2022	J	`jnl`	Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. CoRR Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022	J	`jnl`	Concept Identification for Complex Engineering Datasets. CoRR Felix Lanfermann, Sebastian Schmitt
2022	J	`jnl`	Concept identification for complex engineering datasets. Adv. Eng. Informatics Felix Lanfermann, Sebastian Schmitt
2022	J	`jnl`	Recent Advances in Bayesian Optimization. CoRR Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022	—	`conf`	Stream-Based Active Learning with Verification Latency in Non-stationary Environments. ICANN (4) Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2022	J	`jnl`	Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2022	J	`jnl`	The operating system of the neuromorphic BrainScaleS-1 system. Neurocomputing 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
2022	J	`jnl`	Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022	—	`conf`	Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. ICDM (Workshops) Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt
2021	J	`jnl`	A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. CoRR Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
2021	—	`conf`	Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise. ECML/PKDD (1) Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise. CoRR Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling. CoRR Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck
2021	—	`conf`	Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. SSCI Patricia Wollstadt, Sebastian Schmitt
2021	J	`jnl`	Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. CoRR Patricia Wollstadt, Sebastian Schmitt
2021	J	`jnl`	PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data. CoRR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
2021	J	`jnl`	Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks. CoRR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
2021	J	`jnl`	Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. IEEE Trans. Ind. Informatics Andrea Castellani, Sebastian Schmitt, Stefano Squartini
2021	—	`conf`	Task-Sensitive Concept Drift Detector with Constraint Embedding. SSCI Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Task-Sensitive Concept Drift Detector with Constraint Embedding. CoRR Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. CoRR Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2021	J	`jnl`	Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger
2020	—	`conf`	A Failure Handling Process Model for Failure Management in Manual Assembly. IEEM Robin Exner, Quoc Hao Ngo, Junjie Liang, Max Ellerich, Robin Günther, Sebastian Schmitt, Robert H. Schmitt
2020	—	`conf`	An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. SSCI Felix Lanfermann, Sebastian Schmitt, Stefan Menzel
2020	J	`jnl`	An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2020	B	`conf`	Comparison of deep learning and hand crafted features for mining simulation data. ICPR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
2020	J	`jnl`	Evaluating Usability of a Touchless Image Viewer in the Operating Room. Appl. Clin. Inform. Markus Bockhacker, Hannah Syrek, Max Elstermann von Elster, Sebastian Schmitt, Henning Roehl
2020	J	`jnl`	MF2: A Collection of Multi-Fidelity Benchmark Functions in Python. J. Open Source Softw. Sander van Rijn, Sebastian Schmitt
2020	—	`conf`	Molecular Simulation Study on the Influence of the Scratching Velocity on Nanoscopic Contact Processes. iPMVM Sebastian Schmitt, Simon Stephan, Benjamin Kirsch, Jan C. Aurich, Eberhard Kerscher, Herbert M. Urbassek, Hans Hasse
2020	B	`conf`	Norm Loss: An efficient yet effective regularization method for deep neural networks. ICPR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
2020	J	`jnl`	Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. CoRR Andrea Castellani, Sebastian Schmitt, Stefano Squartini
2020	J	`jnl`	The Operating System of the Neuromorphic BrainScaleS-1 System. CoRR 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
2020	A	`conf`	Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2020	—	`conf`	hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML 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
2020	J	`jnl`	hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. CoRR 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
2019	A*	`conf`	Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms. ICDM Sina Däubener, Sebastian Schmitt, Hao Wang, Peter Krause, Thomas Bäck
2019	J	`jnl`	Exploring the fitness landscape of a realistic turbofan rotor blade optimization. CoRR Jakub Kmec, Sebastian Schmitt
2019	J	`jnl`	Limits and trade-offs of topological network robustness. CoRR Christopher Priester, Sebastian Schmitt, Tiago P. Peixoto
2018	J	`jnl`	Generative models on accelerated neuromorphic hardware. CoRR 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
2018	B	`conf`	Learning Fluid Flows. IJCNN Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew
2018	—	`conf`	Multi-fidelity surrogate model approach to optimization. GECCO (Companion) Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
2017	—	`conf`	Needle Detection in In-Plane-Acquired 3D Ultrasound Image Volumes Using Stick Filtering and a Heuristic. Bildverarbeitung für die Medizin Heinrich M. Overhoff, Anke Poelstra, Sebastian Schmitt
2017	J	`jnl`	Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. CoRR 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
2017	B	`conf`	Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. IJCNN 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
2017	C	`conf`	Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 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
2017	J	`jnl`	Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR 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
2015	—	`conf`	Needle position estimation from sub-sampled k-space data for MRI-guided interventions. Image-Guided Procedures Sebastian Schmitt, Morwan Choli, Heinrich M. Overhoff
2015	—	`conf`	Passive 3D Needle Tip Tracking in Freehand MR-Guided Interventions with Needle Model Visualization. Bildverarbeitung für die Medizin Sebastian Schmitt, Christian Sobotta, Morwan Choli, Heinrich M. Overhoff
2012	—	`conf`	Goal-Snapping: An Empirical Evaluation of Object Snapping in Tangible and Multi-Touch Interfaces. ARCS Workshops Sebastian Schmitt, Johannes Luderschmidt, Nadia Haubner, Simon Lehmann, Ralf Dörner, Ulrich Schwanecke