Sebastian Otte

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 74

Top Venues

University of Tübingen, Germany (PHD)

Education History

University of Tübingen, Germany

PHD

Publications

Saya Higuchi, Sander M. Bohté, Sebastian Otte
Understanding the Convergence in Balanced Resonate-and-Fire Neurons. CoRR (2024)
Leon Scharwächter, Sebastian Otte
Representation Learning of Multivariate Time Series using Attention and Adversarial Training. CoRR (2024)
Saya Higuchi, Sebastian Kairat, Sander M. Bohté, Sebastian Otte
Balanced Resonate-and-Fire Neurons. CoRR (2024)
Sebastian Otte
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection. CoRR (2024)
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) (2023)
Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz
Looping LOCI: Developing Object Permanence from Videos. CoRR (2023)
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)
Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz
Loci-Segmented: Improving Scene Segmentation Learning. CoRR (2023)
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 (2023)
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 (2023)
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)
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 (2023)
Danil Koryakin, Sebastian Otte, Martin V. Butz
Inference of time series components by online co-evolution. Genet. Program. Evolvable Mach. 23 (1) (2022)
Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
Inference of affordances and active motor control in simulated agents. Frontiers Neurorobotics 16 (2022)
Michael Hoyer, Shahram Eivazi, Sebastian Otte
Efficient LSTM Training with Eligibility Traces. ICANN (3) (2022)
Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz
Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. CoRR (2022)
Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML (2022)
Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte
Generating Sparse Counterfactual Explanations For Multivariate Time Series. CoRR (2022)
Franziska Kaltenberger, Sebastian Otte, Martin V. Butz
Binding Dancers Into Attractors. ICDL (2022)
Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
Inference of Affordances and Active Motor Control in Simulated Agents. CoRR (2022)
Michael Hoyer, Shahram Eivazi, Sebastian Otte
Efficient LSTM Training with Eligibility Traces. CoRR (2022)
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)
Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte
A Taxonomy of Recurrent Learning Rules. ICANN (1) (2022)
Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte
A Taxonomy of Recurrent Learning Rules. CoRR (2022)
Franziska Kaltenberger, Sebastian Otte, Martin V. Butz
Binding Dancers Into Attractors. CoRR (2022)
Manuel Traub, Robert Legenstein, Sebastian Otte
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. CoRR (2021)
Sarah Fabi, Sebastian Otte, Martin V. Butz
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. ICANN (2) (2021)
Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR (2021)
Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
Binding and Perspective Taking as Inference in a Generative Neural Network Model. ICANN (3) (2021)
Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley Wu, Martin V. Butz
Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR (2021)
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)
Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR (2021)
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 (2021)
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)
Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. ICANN (5) (2021)
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)
Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. ICDL (2021)
Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci (2021)
Manuel Traub, Robert Legenstein, Sebastian Otte
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. IROS (2021)
Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte
Dynamic Action Inference with Recurrent Spiking Neural Networks. ICANN (5) (2021)
Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
Binding and Perspective Taking as Inference in a Generative Neural Network Model. CoRR (2020)
Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. ICANN (1) (2020)
Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR (2020)
Dania Humaidan, Sebastian Otte, Martin V. Butz
Fostering Event Compression using Gated Surprise. CoRR (2020)
Sebastian Otte, Matthias Karlbauer, Martin V. Butz
Active Tuning. CoRR (2020)
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)
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)
Dania Humaidan, Sebastian Otte, Martin V. Butz
Fostering Event Compression Using Gated Surprise. ICANN (1) (2020)
Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte
Learning Precise Spike Timings with Eligibility Traces. ICANN (2) (2020)
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 (2020)
Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte
Sequence Classification using Ensembles of Recurrent Generative Expert Modules. ESANN (2020)
Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte
Learning Precise Spike Timings with Eligibility Traces. CoRR (2020)
Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. CoRR (2020)
Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte
Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. ICANN (1) (2019)
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 (2019)
Sebastian Otte, Patricia Rubisch, Martin V. Butz
Gradient-Based Learning of Compositional Dynamics with Modular RNNs. ICANN (1) (2019)
Sebastian Otte, Jakob Stoll, Martin V. Butz
Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. ICANN (4) (2019)
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 (2019)
Philipp Kuhlmann, Paul Sanzenbacher, Sebastian Otte
Online Carry Mode Detection for Mobile Devices with Compact RNNs. ICANN (3) (2018)
Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture. CoRR (2018)
Adrian Zwiener, Sebastian Otte, Richard Hanten, Andreas Zell
Configuration Depending Crosstalk Torque Calibration for Robotic Manipulators with Deep Neural Regression Models. IAS (2018)
Martin V. Butz, David K. Bilkey, Alistair Knott, Sebastian Otte
REPRISE: A Retrospective and Prospective Inference Scheme. CogSci (2018)
Richard Hanten, Philipp Kuhlmann, Sebastian Otte, Andreas Zell
Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications. ICRA (2018)
Sebastian Otte, Lea Hofmaier, Martin V. Butz
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. ICANN (3) (2018)
Christian Gumbsch, Sebastian Otte, Martin V. Butz
A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci (2017)
Sebastian Otte, Theresa Schmitt, Martin V. Butz
Anticipatory Active Inference from Learned Recurrent Neural Forward Models. CogSci (2017)
Sebastian Otte, Adrian Zwiener, Martin V. Butz
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. ICANN (1) (2017)
Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz
Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. ICANN (1) (2017)
Sebastian Otte, Martin V. Butz, Danil Koryakin, Fabian Becker, Marcus Liwicki, Andreas Zell
Optimizing recurrent reservoirs with neuro-evolution. Neurocomputing 192 (2016)
Alexander Dörr, Sebastian Otte, Andreas Zell
Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design. ICANN (1) (2016)
Sebastian Otte, Christian Weiss, Tobias Scherer, Andreas Zell
Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots. ICRA (2016)
Sebastian Otte, Adrian Zwiener, Richard Hanten, Andreas Zell
Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control. ICANN (1) (2016)
Richard Hanten, Sebastian Buck, Sebastian Otte, Andreas Zell
Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps. IAS (2016)
Lorand Madai-Tahy, Sebastian Otte, Richard Hanten, Andreas Zell
Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition. ICANN (2) (2016)
Sebastian Otte, Andreas Zell, Marcus Liwicki
An analysis of Dynamic Cortex Memory networks. IJCNN (2015)
Sebastian Otte, Stefan Laible, Richard Hanten, Marcus Liwicki, Andreas Zell
Robust Visual Terrain Classification with Recurrent Neural Networks. ESANN (2015)
Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell
Learning Recurrent Dynamics using Differential Evolution. ESANN (2015)
Sebastian Otte, Marcus Liwicki, Andreas Zell
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning. ICANN (2014)
Sebastian Otte, Ulrich Schwanecke, Andreas Zell
ANTSAC: A Generic RANSAC Variant Using Principles of Ant Colony Algorithms. ICPR (2014)
Sebastian Otte, Marcus Liwicki, Dirk Krechel
Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems. MLDM (2014)
Sebastian Otte, Dirk Krechel, Marcus Liwicki
JANNLab Neural Network Framework for Java. MLDM Posters (2013)
Sebastian Otte, Marcus Liwicki, Dirk Krechel
Investigating Long Short-Term Memory Networks for various Pattern Recognition Prolems. MLDM Posters (2013)
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)
Sebastian Otte, Dirk Krechel, Marcus Liwicki, Andreas Dengel
Local Feature Based Online Mode Detection with Recurrent Neural Networks. ICFHR (2012)
Daniel Loy, Florian Schaefer, Sebastian Otte, Dirk Krechel
Distributed Evolutionary Optimization of Neural Network Topologies. MLDM Posters (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sebastian Otte