Sebastian Otte

106 papers A* 6A 1B 12C 3Journal 41Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SpikingGamma: Surrogate-Gradient Free and Temporally Precise Online Training of Spiking Neural Networks with Smoothed Delays. CoRR Roel Koopman, Sebastian Otte, Sander Bohté
2025	A*	`conf`	Detection of Fast-Moving Objects with Neuromorphic Hardware. ICRA Andreas Ziegler, Karl Vetter, Thomas Gossard, Jonas Tebbe, Sebastian Otte, Andreas Zell
2025	—	`conf`	Minimal Convolutional RNNs Accelerate Spatiotemporal Learning. ICANN (1) Cosku Can Horuz, Sebastian Otte, Martin V. Butz, Matthias Karlbauer
2025	J	`jnl`	Minimal Convolutional RNNs Accelerate Spatiotemporal Learning. CoRR Cosku Can Horuz, Sebastian Otte, Martin V. Butz, Matthias Karlbauer
2025	J	`jnl`	The Resurrection of the ReLU. CoRR Cosku Can Horuz, Geoffrey Kasenbacher, Saya Higuchi, Sebastian Kairat, Jendrik Stoltz, Moritz Pesl, Bernhard Alois Moser, Christoph Linse, Thomas Martinetz, Sebastian Otte
2025	J	`jnl`	WARP-LCA: Efficient convolutional sparse coding with Locally Competitive Algorithm. Neurocomputing Geoffrey Kasenbacher, Felix Ehret, Gerrit A. Ecke, Sebastian Otte
2024	—	`conf`	3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks. ICANN (5) Melvin Ciurletti, Anna-Lena von Behren, Jannik Bühring, Sebastian Otte
2024	A*	`conf`	Balanced Resonate-and-Fire Neurons. ICML Saya Higuchi, Sebastian Kairat, Sander M. Bohté, Sebastian Otte
2024	J	`jnl`	Balanced Resonate-and-Fire Neurons. CoRR Saya Higuchi, Sebastian Kairat, Sander M. Bohté, Sebastian Otte
2024	B	`conf`	Developing Object Permanence from Videos. CogSci Frederic Becker, Manuel Traub, Sebastian Otte, Martin V. Butz
2024	J	`jnl`	Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection. CoRR Sebastian Otte
2024	J	`jnl`	Inferring Underwater Topography with FINN. CoRR Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2024	—	`conf`	Learning Object Permanence from Videos via Latent Imaginations. ICANN (3) Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz
2024	—	`conf`	Loci-Segmented: Improving Scene Segmentation Learning. ICANN (3) Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz
2024	J	`jnl`	Representation Learning of Multivariate Time Series using Attention and Adversarial Training. CoRR Leon Scharwächter, Sebastian Otte
2024	—	`conf`	Resonator-Gated RNNs. ICANN (1) Robert Deibel, Shahram Eivazi, Matrin V. Butz, Sebastian Otte
2024	J	`jnl`	Understanding the Convergence in Balanced Resonate-and-Fire Neurons. CoRR Saya Higuchi, Sander M. Bohté, Sebastian Otte
2024	J	`jnl`	WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm. CoRR Geoffrey Kasenbacher, Felix Ehret, Gerrit A. Ecke, Sebastian Otte
2023	J	`jnl`	Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set. IEEE Trans. Cogn. Dev. Syst. Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz
2023	—	`conf`	Generating Sparse Counterfactual Explanations for Multivariate Time Series. ICANN (6) Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte
2023	J	`jnl`	Inductive biases in deep learning models for weather prediction. CoRR Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz
2023	A*	`conf`	Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. ICLR Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz
2023	J	`jnl`	Loci-Segmented: Improving Scene Segmentation Learning. CoRR Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz
2023	J	`jnl`	Looping LOCI: Developing Object Permanence from Videos. CoRR Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz
2023	J	`jnl`	Physical Domain Reconstruction with Finite Volume Neural Networks. Appl. Artif. Intell. Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2023	J	`jnl`	The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory. CoRR Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte
2023	J	`jnl`	The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. Neural Networks Sergey Oladyshkin, Timothy Praditia, Ilja Kröker, Farid Mohammadi, Wolfgang Nowak, Sebastian Otte
2022	—	`conf`	A Taxonomy of Recurrent Learning Rules. ICANN (1) Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte
2022	J	`jnl`	A Taxonomy of Recurrent Learning Rules. CoRR Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte
2022	—	`conf`	Binding Dancers Into Attractors. ICDL Franziska Kaltenberger, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Binding Dancers Into Attractors. CoRR Franziska Kaltenberger, Sebastian Otte, Martin V. Butz
2022	A*	`conf`	Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
2022	—	`conf`	Efficient LSTM Training with Eligibility Traces. ICANN (3) Michael Hoyer, Shahram Eivazi, Sebastian Otte
2022	J	`jnl`	Efficient LSTM Training with Eligibility Traces. CoRR Michael Hoyer, Shahram Eivazi, Sebastian Otte
2022	J	`jnl`	Generating Sparse Counterfactual Explanations For Multivariate Time Series. CoRR Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte
2022	J	`jnl`	Inference of Affordances and Active Motor Control in Simulated Agents. CoRR Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Inference of affordances and active motor control in simulated agents. Frontiers Neurorobotics Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz
2022	J	`jnl`	Inference of time series components by online co-evolution. Genet. Program. Evolvable Mach. Danil Koryakin, Sebastian Otte, Martin V. Butz
2022	—	`conf`	Infering Boundary Conditions in Finite Volume Neural Networks. ICANN (1) Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
2022	J	`jnl`	Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. CoRR Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I ICANN (1) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II ICANN (2) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III ICANN (3) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV ICANN (4) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V ICANN (5) Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter
2021	—	`conf`	Binding and Perspective Taking as Inference in a Generative Neural Network Model. ICANN (3) Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
2021	J	`jnl`	Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
2021	—	`conf`	Demand Forecasting Using Ensemble Learning for Effective Scheduling of Logistic Orders. AHFE (13) Katharina Lingelbach, Yannick Lingelbach, Sebastian Otte, Michael Bui, Tobias Künzell, Matthias Peissner
2021	—	`conf`	Dynamic Action Inference with Recurrent Spiking Neural Networks. ICANN (5) Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte
2021	—	`conf`	Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. ICANN (4) Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte
2021	J	`jnl`	Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. CoRR Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte
2021	J	`jnl`	Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak
2021	—	`conf`	Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. ICANN (2) Sarah Fabi, Sebastian Otte, Martin V. Butz
2021	—	`conf`	Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. ICDL Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
2021	B	`conf`	Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	J	`jnl`	Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz
2021	—	`conf`	Latent State Inference in a Spatiotemporal Generative Model. ICANN (4) Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2021	A	`conf`	Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. IROS Manuel Traub, Robert Legenstein, Sebastian Otte
2021	J	`jnl`	Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. CoRR Manuel Traub, Robert Legenstein, Sebastian Otte
2021	—	`conf`	Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. ICANN (5) Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte
2020	B	`conf`	A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. ESANN Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	J	`jnl`	Active Tuning. CoRR Sebastian Otte, Matthias Karlbauer, Martin V. Butz
2020	J	`jnl`	Binding and Perspective Taking as Inference in a Generative Neural Network Model. CoRR Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
2020	—	`conf`	Fostering Event Compression Using Gated Surprise. ICANN (1) Dania Humaidan, Sebastian Otte, Martin V. Butz
2020	J	`jnl`	Fostering Event Compression using Gated Surprise. CoRR Dania Humaidan, Sebastian Otte, Martin V. Butz
2020	J	`jnl`	Hidden Latent State Inference in a Spatio-Temporal Generative Model. CoRR Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	—	`conf`	Inferring, Predicting, and Denoising Causal Wave Dynamics. ICANN (1) Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	J	`jnl`	Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2020	—	`conf`	Investigating Efficient Learning and Compositionality in Generative LSTM Networks. ICANN (1) Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
2020	J	`jnl`	Investigating Efficient Learning and Compositionality in Generative LSTM Networks. CoRR Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
2020	—	`conf`	Learning Precise Spike Timings with Eligibility Traces. ICANN (2) Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte
2020	J	`jnl`	Learning Precise Spike Timings with Eligibility Traces. CoRR Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte
2020	B	`conf`	Sequence Classification using Ensembles of Recurrent Generative Expert Modules. ESANN Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte
2019	J	`jnl`	A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. CoRR Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
2019	—	`conf`	Gradient-Based Learning of Compositional Dynamics with Modular RNNs. ICANN (1) Sebastian Otte, Patricia Rubisch, Martin V. Butz
2019	—	`conf`	Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. ICANN (4) Sebastian Otte, Jakob Stoll, Martin V. Butz
2019	—	`conf`	Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. ICANN (1) Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte
2019	J	`jnl`	Learning, planning, and control in a monolithic neural event inference architecture. Neural Networks Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte
2018	C	`conf`	Configuration Depending Crosstalk Torque Calibration for Robotic Manipulators with Deep Neural Regression Models. IAS Adrian Zwiener, Sebastian Otte, Richard Hanten, Andreas Zell
2018	—	`conf`	Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. ICANN (3) Sebastian Otte, Lea Hofmaier, Martin V. Butz
2018	J	`jnl`	Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture. CoRR Martin V. Butz, David K. Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte
2018	—	`conf`	Online Carry Mode Detection for Mobile Devices with Compact RNNs. ICANN (3) Philipp Kuhlmann, Paul Sanzenbacher, Sebastian Otte
2018	B	`conf`	REPRISE: A Retrospective and Prospective Inference Scheme. CogSci Martin V. Butz, David K. Bilkey, Alistair Knott, Sebastian Otte
2018	A*	`conf`	Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications. ICRA Richard Hanten, Philipp Kuhlmann, Sebastian Otte, Andreas Zell
2017	B	`conf`	A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci Christian Gumbsch, Sebastian Otte, Martin V. Butz
2017	B	`conf`	Anticipatory Active Inference from Learned Recurrent Neural Forward Models. CogSci Sebastian Otte, Theresa Schmitt, Martin V. Butz
2017	—	`conf`	Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. ICANN (1) Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz
2017	—	`conf`	Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. ICANN (1) Sebastian Otte, Adrian Zwiener, Martin V. Butz
2017	—	`—`	Recurrent Neural Networks for Sequential Pattern Recognition Applications. Sebastian Otte
2016	—	`conf`	Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control. ICANN (1) Sebastian Otte, Adrian Zwiener, Richard Hanten, Andreas Zell
2016	—	`conf`	Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design. ICANN (1) Alexander Dörr, Sebastian Otte, Andreas Zell
2016	J	`jnl`	Optimizing recurrent reservoirs with neuro-evolution. Neurocomputing Sebastian Otte, Martin V. Butz, Danil Koryakin, Fabian Becker, Marcus Liwicki, Andreas Zell
2016	A*	`conf`	Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots. ICRA Sebastian Otte, Christian Weiss, Tobias Scherer, Andreas Zell
2016	—	`conf`	Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition. ICANN (2) Lorand Madai-Tahy, Sebastian Otte, Richard Hanten, Andreas Zell
2016	C	`conf`	Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps. IAS Richard Hanten, Sebastian Buck, Sebastian Otte, Andreas Zell
2015	B	`conf`	An analysis of Dynamic Cortex Memory networks. IJCNN Sebastian Otte, Andreas Zell, Marcus Liwicki
2015	B	`conf`	Learning Recurrent Dynamics using Differential Evolution. ESANN Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell
2015	B	`conf`	Robust Visual Terrain Classification with Recurrent Neural Networks. ESANN Sebastian Otte, Stefan Laible, Richard Hanten, Marcus Liwicki, Andreas Zell
2014	B	`conf`	ANTSAC: A Generic RANSAC Variant Using Principles of Ant Colony Algorithms. ICPR Sebastian Otte, Ulrich Schwanecke, Andreas Zell
2014	C	`conf`	Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning. ICANN Sebastian Otte, Marcus Liwicki, Andreas Zell
2014	—	`conf`	Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems. MLDM Sebastian Otte, Marcus Liwicki, Dirk Krechel
2013	—	`conf`	Investigating Long Short-Term Memory Networks for various Pattern Recognition Prolems. MLDM Posters Sebastian Otte, Marcus Liwicki, Dirk Krechel
2013	—	`conf`	JANNLab Neural Network Framework for Java. MLDM Posters Sebastian Otte, Dirk Krechel, Marcus Liwicki
2013	—	`conf`	OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks. MLSP Sebastian Otte, Christoph Otte, Alexander Schlaefer, Lukas Wittig, Gereon Hüttmann, Daniel Drömann, A. Zeli
2012	B	`conf`	Local Feature Based Online Mode Detection with Recurrent Neural Networks. ICFHR Sebastian Otte, Dirk Krechel, Marcus Liwicki, Andreas Dengel
2011	—	`conf`	Distributed Evolutionary Optimization of Neural Network Topologies. MLDM Posters Daniel Loy, Florian Schaefer, Sebastian Otte, Dirk Krechel