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ORCIDSebastian Otte
Person information
- affiliation (PhD 2017): Eberhard Karls University of Tübingen, Department of Computer Science, Germany
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Books and Theses
- 2017
[b1]Sebastian Otte:
Recurrent Neural Networks for Sequential Pattern Recognition Applications. University of Tübingen, Germany, Dr. Hut 2017, ISBN 978-3-8439-3413-8, pp. 1-178
Journal Articles
- 2023
- [j7]Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz
, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte:
Physical Domain Reconstruction with Finite Volume Neural Networks. Appl. Artif. Intell. 37(1) (2023) - [j6]Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte:
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks 166: 85-104 (2023) - [j5]Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz:
Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set. IEEE Trans. Cogn. Dev. Syst. 15(2): 896-903 (2023) - 2022
- [j4]Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz:
Inference of affordances and active motor control in simulated agents. Frontiers Neurorobotics 16 (2022) - [j3]Danil Koryakin, Sebastian Otte, Martin V. Butz:
Inference of time series components by online co-evolution. Genet. Program. Evolvable Mach. 23(1): 7-35 (2022) - 2019
- [j2]Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte:
Learning, planning, and control in a monolithic neural event inference architecture. Neural Networks 117: 135-144 (2019) - 2016
- [j1]Sebastian Otte, Martin V. Butz, Danil Koryakin, Fabian Becker, Marcus Liwicki, Andreas Zell:
Optimizing recurrent reservoirs with neuro-evolution. Neurocomputing 192: 128-138 (2016)
Conference and Workshop Papers
- 2023
- [c50]Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz:
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. ICLR 2023 - 2022
- [c49]Michael Hoyer, Shahram Eivazi, Sebastian Otte:
Efficient LSTM Training with Eligibility Traces. ICANN (3) 2022: 334-346 - [c48]Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte:
A Taxonomy of Recurrent Learning Rules. ICANN (1) 2022: 478-490 - [c47]Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte:
Infering Boundary Conditions in Finite Volume Neural Networks. ICANN (1) 2022: 538-549 - [c46]Franziska Kaltenberger, Sebastian Otte, Martin V. Butz:
Binding Dancers Into Attractors. ICDL 2022: 127-134 - [c45]Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz:
Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML 2022: 10773-10801 - 2021
- [c44]Katharina Lingelbach, Yannick Lingelbach, Sebastian Otte, Michael Bui, Tobias Künzell, Matthias Peissner:
Demand Forecasting Using Ensemble Learning for Effective Scheduling of Logistic Orders. AHFE (13) 2021: 313-321 - [c43]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci 2021 - [c42]Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Binding and Perspective Taking as Inference in a Generative Neural Network Model. ICANN (3) 2021: 3-14 - [c41]Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte:
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. ICANN (5) 2021: 220-232 - [c40]Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte:
Dynamic Action Inference with Recurrent Spiking Neural Networks. ICANN (5) 2021: 233-244 - [c39]Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Latent State Inference in a Spatiotemporal Generative Model. ICANN (4) 2021: 384-395 - [c38]Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte:
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. ICANN (4) 2021: 444-456 - [c37]Sarah Fabi, Sebastian Otte, Martin V. Butz:
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. ICANN (2) 2021: 525-536 - [c36]Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. ICDL 2021: 1-7 - [c35]Manuel Traub, Robert Legenstein, Sebastian Otte:
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. IROS 2021: 4918-4925 - 2020
- [c34]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. ESANN 2020: 303-308 - [c33]Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte:
Sequence Classification using Ensembles of Recurrent Generative Expert Modules. ESANN 2020: 333-338 - [c32]Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz:
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. ICANN (1) 2020: 143-154 - [c31]Dania Humaidan, Sebastian Otte, Martin V. Butz:
Fostering Event Compression Using Gated Surprise. ICANN (1) 2020: 155-167 - [c30]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. ICANN (1) 2020: 566-577 - [c29]Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte:
Learning Precise Spike Timings with Eligibility Traces. ICANN (2) 2020: 659-669 - 2019
- [c28]Sebastian Otte, Patricia Rubisch, Martin V. Butz:
Gradient-Based Learning of Compositional Dynamics with Modular RNNs. ICANN (1) 2019: 484-496 - [c27]Sebastian Otte, Jakob Stoll, Martin V. Butz:
Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. ICANN (4) 2019: 543-555 - [c26]Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte:
Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. ICANN (1) 2019: 639-653 - 2018
- [c25]Martin V. Butz, David K. Bilkey, Alistair Knott, Sebastian Otte:
REPRISE: A Retrospective and Prospective Inference Scheme. CogSci 2018 - [c24]Adrian Zwiener, Sebastian Otte, Richard Hanten, Andreas Zell:
Configuration Depending Crosstalk Torque Calibration for Robotic Manipulators with Deep Neural Regression Models. IAS 2018: 361-373 - [c23]Philipp Kuhlmann, Paul Sanzenbacher, Sebastian Otte:
Online Carry Mode Detection for Mobile Devices with Compact RNNs. ICANN (3) 2018: 232-241 - [c22]Sebastian Otte, Lea Hofmaier, Martin V. Butz:
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. ICANN (3) 2018: 748-758 - [c21]Richard Hanten, Philipp Kuhlmann, Sebastian Otte, Andreas Zell:
Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications. ICRA 2018: 2000-2006 - 2017
- [c20]Christian Gumbsch, Sebastian Otte, Martin V. Butz:
A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci 2017 - [c19]Sebastian Otte, Theresa Schmitt, Martin V. Butz:
Anticipatory Active Inference from Learned Recurrent Neural Forward Models. CogSci 2017 - [c18]Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz:
Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. ICANN (1) 2017: 227-235 - [c17]Sebastian Otte, Adrian Zwiener, Martin V. Butz:
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. ICANN (1) 2017: 262-270 - 2016
- [c16]Richard Hanten, Sebastian Buck, Sebastian Otte, Andreas Zell:
Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps. IAS 2016: 403-416 - [c15]Lorand Madai-Tahy, Sebastian Otte, Richard Hanten, Andreas Zell:
Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition. ICANN (2) 2016: 29-37 - [c14]Alexander Dörr, Sebastian Otte, Andreas Zell:
Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design. ICANN (1) 2016: 140-148 - [c13]Sebastian Otte, Adrian Zwiener, Richard Hanten, Andreas Zell:
Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control. ICANN (1) 2016: 149-157 - [c12]Sebastian Otte, Christian Weiss, Tobias Scherer, Andreas Zell:
Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots. ICRA 2016: 5603-5608 - 2015
- [c11]Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell:
Learning Recurrent Dynamics using Differential Evolution. ESANN 2015 - [c10]Sebastian Otte, Stefan Laible, Richard Hanten, Marcus Liwicki, Andreas Zell:
Robust Visual Terrain Classification with Recurrent Neural Networks. ESANN 2015 - [c9]Sebastian Otte, Andreas Zell, Marcus Liwicki:
An analysis of Dynamic Cortex Memory networks. IJCNN 2015: 1-8 - 2014
- [c8]Sebastian Otte, Marcus Liwicki, Andreas Zell:
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning. ICANN 2014: 1-8 - [c7]Sebastian Otte, Ulrich Schwanecke, Andreas Zell:
ANTSAC: A Generic RANSAC Variant Using Principles of Ant Colony Algorithms. ICPR 2014: 3558-3563 - [c6]Sebastian Otte, Marcus Liwicki, Dirk Krechel:
Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems. MLDM 2014: 484-497 - 2013
- [c5]Sebastian Otte, Marcus Liwicki, Dirk Krechel:
Investigating Long Short-Term Memory Networks for various Pattern Recognition Prolems. MLDM Posters 2013: 20-33 - [c4]Sebastian Otte, Dirk Krechel, Marcus Liwicki:
JANNLab Neural Network Framework for Java. MLDM Posters 2013: 39-46 - [c3]Sebastian Otte, Christoph Otte, Alexander Schlaefer, Lukas Wittig, Gereon Hüttmann, Daniel Drömann, A. Zeli:
OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks. MLSP 2013: 1-6 - 2012
- [c2]Sebastian Otte, Dirk Krechel, Marcus Liwicki, Andreas Dengel:
Local Feature Based Online Mode Detection with Recurrent Neural Networks. ICFHR 2012: 533-537 - 2011
- [c1]Daniel Loy, Florian Schaefer, Sebastian Otte, Dirk Krechel:
Distributed Evolutionary Optimization of Neural Network Topologies. MLDM Posters 2011: 15-22
Editorship
- 2021
- [e5]Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12891, Springer 2021, ISBN 978-3-030-86361-6 [contents] - [e4]Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12892, Springer 2021, ISBN 978-3-030-86339-5 [contents] - [e3]Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12893, Springer 2021, ISBN 978-3-030-86364-7 [contents] - [e2]Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12894, Springer 2021, ISBN 978-3-030-86379-1 [contents] - [e1]Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12895, Springer 2021, ISBN 978-3-030-86382-1 [contents]
Data and Artifacts
- 2022
- [d1]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak:
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. DaRUS, 2022
Informal and Other Publications
- 2024
- [i26]Leon Scharwächter, Sebastian Otte:
Representation Learning of Multivariate Time Series using Attention and Adversarial Training. CoRR abs/2401.01987 (2024) - [i25]Saya Higuchi, Sebastian Kairat, Sander M. Bohté, Sebastian Otte:
Balanced Resonate-and-Fire Neurons. CoRR abs/2402.14603 (2024) - 2023
- [i24]Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz:
Inductive biases in deep learning models for weather prediction. CoRR abs/2304.04664 (2023) - [i23]Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte:
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory. CoRR abs/2306.14753 (2023) - [i22]Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz:
Looping LOCI: Developing Object Permanence from Videos. CoRR abs/2310.10372 (2023) - [i21]Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz:
Loci-Segmented: Improving Scene Segmentation Learning. CoRR abs/2310.10410 (2023) - 2022
- [i20]Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz:
Inference of Affordances and Active Motor Control in Simulated Agents. CoRR abs/2202.11532 (2022) - [i19]Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz:
Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. CoRR abs/2205.13349 (2022) - [i18]Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte:
Generating Sparse Counterfactual Explanations For Multivariate Time Series. CoRR abs/2206.00931 (2022) - [i17]Franziska Kaltenberger, Sebastian Otte, Martin V. Butz:
Binding Dancers Into Attractors. CoRR abs/2206.02558 (2022) - [i16]Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte:
A Taxonomy of Recurrent Learning Rules. CoRR abs/2207.11439 (2022) - [i15]Michael Hoyer, Shahram Eivazi, Sebastian Otte:
Efficient LSTM Training with Eligibility Traces. CoRR abs/2209.15502 (2022) - 2021
- [i14]Manuel Traub, Robert Legenstein, Sebastian Otte:
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. CoRR abs/2104.04064 (2021) - [i13]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak:
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR abs/2104.06010 (2021) - [i12]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR abs/2105.05894 (2021) - [i11]Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte:
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. CoRR abs/2107.02442 (2021) - [i10]Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz:
Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR abs/2111.11798 (2021) - 2020
- [i9]Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz:
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. CoRR abs/2004.07754 (2020) - [i8]Dania Humaidan, Sebastian Otte, Martin V. Butz:
Fostering Event Compression using Gated Surprise. CoRR abs/2005.05704 (2020) - [i7]Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte:
Learning Precise Spike Timings with Eligibility Traces. CoRR abs/2006.09988 (2020) - [i6]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR abs/2009.09187 (2020) - [i5]Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Hidden Latent State Inference in a Spatio-Temporal Generative Model. CoRR abs/2009.09823 (2020) - [i4]Sebastian Otte, Matthias Karlbauer, Martin V. Butz:
Active Tuning. CoRR abs/2010.03958 (2020) - [i3]Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Binding and Perspective Taking as Inference in a Generative Neural Network Model. CoRR abs/2012.05152 (2020) - 2019
- [i2]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. CoRR abs/1912.11141 (2019) - 2018
- [i1]Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte:
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture. CoRR abs/1809.07412 (2018)
Coauthor Index
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