Distributed Evolutionary Optimization of Neural Network Topologies. - Daniel Loy; Florian Schaefer; Sebastian Otte; Dirk Krechel (MLDM Posters, 2011)

Local Feature Based Online Mode Detection with Recurrent Neural Networks. - Sebastian Otte; Dirk Krechel; Marcus Liwicki; Andreas Dengel 001 (ICFHR, 2012)

JANNLab Neural Network Framework for Java. - Sebastian Otte; Dirk Krechel; Marcus Liwicki (MLDM Posters, 2013)

Investigating Long Short-Term Memory Networks for various Pattern Recognition Prolems. - Sebastian Otte; Marcus Liwicki; Dirk Krechel (MLDM Posters, 2013)

OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks. - Sebastian Otte; Christoph Otte; Alexander Schlaefer; Lukas Wittig; Gereon Hüttmann; Daniel Drömann; A. Zeli (MLSP, 2013)

Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning. - Sebastian Otte; Marcus Liwicki; Andreas Zell (ICANN, 2014)

ANTSAC: A Generic RANSAC Variant Using Principles of Ant Colony Algorithms. - Sebastian Otte; Ulrich Schwanecke; Andreas Zell (ICPR, 2014)

Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems. - Sebastian Otte; Marcus Liwicki; Dirk Krechel (MLDM, 2014)

Learning Recurrent Dynamics using Differential Evolution. - Sebastian Otte; Fabian Becker; Martin V. Butz; Marcus Liwicki; Andreas Zell (ESANN, 2015)

Robust Visual Terrain Classification with Recurrent Neural Networks. - Sebastian Otte; Stefan Laible; Richard Hanten; Marcus Liwicki; Andreas Zell (ESANN, 2015)

An analysis of Dynamic Cortex Memory networks. - Sebastian Otte; Andreas Zell; Marcus Liwicki (IJCNN, 2015)

Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps. - Richard Hanten; Sebastian Buck 002; Sebastian Otte; Andreas Zell (IAS, 2016)

Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design. - Alexander Dörr; Sebastian Otte; Andreas Zell (ICANN (1), 2016)

Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition. - Lorand Madai-Tahy; Sebastian Otte; Richard Hanten; Andreas Zell (ICANN (2), 2016)

Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control. - Sebastian Otte; Adrian Zwiener; Richard Hanten; Andreas Zell (ICANN (1), 2016)

Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots. - Sebastian Otte; Christian Weiss; Tobias Scherer; Andreas Zell (ICRA, 2016)

Optimizing recurrent reservoirs with neuro-evolution. - Sebastian Otte; Martin V. Butz; Danil Koryakin; Fabian Becker; Marcus Liwicki; Andreas Zell (Neurocomputing, 2016)

A Computational Model for the Dynamical Learning of Event Taxonomies. - Christian Gumbsch; Sebastian Otte; Martin V. Butz (CogSci, 2017)

Anticipatory Active Inference from Learned Recurrent Neural Forward Models. - Sebastian Otte; Theresa Schmitt; Martin V. Butz (CogSci, 2017)

Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. - Sebastian Otte; Theresa Schmitt; Karl J. Friston; Martin V. Butz (ICANN (1), 2017)

Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. - Sebastian Otte; Adrian Zwiener; Martin V. Butz (ICANN (1), 2017)

Recurrent Neural Networks for Sequential Pattern Recognition Applications. - Sebastian Otte (Dr. Hut, 2017)

REPRISE: A Retrospective and Prospective Inference Scheme. - Martin V. Butz; David K. Bilkey; Alistair Knott; Sebastian Otte (CogSci, 2018)

Configuration Depending Crosstalk Torque Calibration for Robotic Manipulators with Deep Neural Regression Models. - Adrian Zwiener; Sebastian Otte; Richard Hanten; Andreas Zell (IAS, 2018)

Online Carry Mode Detection for Mobile Devices with Compact RNNs. - Philipp Kuhlmann; Paul Sanzenbacher; Sebastian Otte (ICANN (3), 2018)

Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. - Sebastian Otte; Lea Hofmaier; Martin V. Butz (ICANN (3), 2018)

Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications. - Richard Hanten; Philipp Kuhlmann; Sebastian Otte; Andreas Zell (ICRA, 2018)

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. - Martin V. Butz; Tobias Menge; Dania Humaidan; Sebastian Otte (ICANN (1), 2019)

Gradient-Based Learning of Compositional Dynamics with Modular RNNs. - Sebastian Otte; Patricia Rubisch; Martin V. Butz (ICANN (1), 2019)

Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. - Sebastian Otte; Jakob Stoll; Martin V. Butz (ICANN (4), 2019)

Learning, planning, and control in a monolithic neural event inference architecture. - Martin V. Butz; David K. Bilkey; Dania Humaidan; Alistair Knott; Sebastian Otte (Neural Networks, 2019)

Sequence Classification using Ensembles of Recurrent Generative Expert Modules. - Marius Hobbhahn; Martin V. Butz; Sarah Fabi; Sebastian Otte (ESANN, 2020)

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. - Matthias Karlbauer; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ESANN, 2020)

Investigating Efficient Learning and Compositionality in Generative LSTM Networks. - Sarah Fabi; Sebastian Otte; Jonas Gregor Wiese; Martin V. Butz (ICANN (1), 2020)

Fostering Event Compression Using Gated Surprise. - Dania Humaidan; Sebastian Otte; Martin V. Butz (ICANN (1), 2020)

Inferring, Predicting, and Denoising Causal Wave Dynamics. - Matthias Karlbauer; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ICANN (1), 2020)

Learning Precise Spike Timings with Eligibility Traces. - Manuel Traub; Martin V. Butz; R. Harald Baayen; Sebastian Otte (ICANN (2), 2020)

Hidden Latent State Inference in a Spatio-Temporal Generative Model. - Matthias Karlbauer; Tobias Menge; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (CoRR, 2020)

Active Tuning. - Sebastian Otte; Matthias Karlbauer; Martin V. Butz (CoRR, 2020)

Demand Forecasting Using Ensemble Learning for Effective Scheduling of Logistic Orders. - Katharina Lingelbach; Yannick Lingelbach; Sebastian Otte; Michael Bui; Tobias Künzell; Matthias Peissner (AHFE (13), 2021)

Latent Event-Predictive Encodings through Counterfactual Regularization. - Dania Humaidan; Sebastian Otte; Christian Gumbsch; Charley M. Wu; Martin V. Butz (CogSci, 2021)

Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. - Melvin Ciurletti; Manuel Traub; Matthias Karlbauer; Martin V. Butz; Sebastian Otte (ICANN (5), 2021)

Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. - Sarah Fabi; Sebastian Otte; Martin V. Butz (ICANN (2), 2021)

Latent State Inference in a Spatiotemporal Generative Model. - Matthias Karlbauer; Tobias Menge; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ICANN (4), 2021)

Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. - Jana Lang; Martin A. Giese; Matthis Synofzik; Winfried Ilg; Sebastian Otte (ICANN (4), 2021)

Binding and Perspective Taking as Inference in a Generative Neural Network Model. - Mahdi Sadeghi; Fabian Schrodt; Sebastian Otte; Martin V. Butz (ICANN (3), 2021)

Dynamic Action Inference with Recurrent Spiking Neural Networks. - Manuel Traub; Martin V. Butz; Robert Legenstein; Sebastian Otte (ICANN (5), 2021)

Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. - Mahdi Sadeghi; Fabian Schrodt; Sebastian Otte; Martin V. Butz (ICDL, 2021)

Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks. - Manuel Traub; Robert Legenstein; Sebastian Otte (IROS, 2021)

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. - Timothy Praditia; Matthias Karlbauer; Sebastian Otte; Sergey Oladyshkin; Martin V. Butz; Wolfgang Nowak (CoRR, 2021)

Infering Boundary Conditions in Finite Volume Neural Networks. - Cosku Can Horuz; Matthias Karlbauer; Timothy Praditia; Martin V. Butz; Sergey Oladyshkin; Wolfgang Nowak; Sebastian Otte (ICANN (1), 2022)

Efficient LSTM Training with Eligibility Traces. - Michael Hoyer; Shahram Eivazi; Sebastian Otte (ICANN (3), 2022)

A Taxonomy of Recurrent Learning Rules. - Guillermo Martín-Sánchez; Sander M. Bohté; Sebastian Otte (ICANN (1), 2022)

Binding Dancers Into Attractors. - Franziska Kaltenberger; Sebastian Otte; Martin V. Butz (ICDL, 2022)

Composing Partial Differential Equations with Physics-Aware Neural Networks. - Matthias Karlbauer; Timothy Praditia; Sebastian Otte; Sergey Oladyshkin; Wolfgang Nowak; Martin V. Butz (ICML, 2022)

Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (CoRR, 2022)

Inference of time series components by online co-evolution. - Danil Koryakin; Sebastian Otte; Martin V. Butz (Genet. Program. Evolvable Mach., 2022)

Inference of affordances and active motor control in simulated agents. - Fedor Scholz; Christian Gumbsch; Sebastian Otte; Martin V. Butz (Frontiers Neurorobotics, 2022)

Finite Volume Neural Network. - Timothy Praditia; Matthias Karlbauer; Sebastian Otte; Sergey Oladyshkin; Martin V. Butz; Wolfang Nowak (Zenodo, 2022)

Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. - Timothy Praditia; Matthias Karlbauer; Sebastian Otte; Sergey Oladyshkin; Martin V. Butz; Wolfgang Nowak (DaRUS, 2022)

Generating Sparse Counterfactual Explanations for Multivariate Time Series. - Jana Lang; Martin A. Giese; Winfried Ilg; Sebastian Otte (ICANN (6), 2023)

Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (ICLR, 2023)

Inductive biases in deep learning models for weather prediction. - Jannik Thümmel; Matthias Karlbauer; Sebastian Otte; Christiane Zarfl; Georg Martius; Nicole Ludwig 002; Thomas Scholten; Ulrich Friedrich; Volker Wulfmeyer; Bedartha Goswami; Martin V. Butz (CoRR, 2023)

Looping LOCI: Developing Object Permanence from Videos. - Manuel Traub; Frederic Becker; Sebastian Otte; Martin V. Butz (CoRR, 2023)

Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set. - Sarah Fabi; Sebastian Otte; Fedor Scholz; Julius Wührer; Matthias Karlbauer; Martin V. Butz (IEEE Trans. Cogn. Dev. Syst., 2023)

The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory. - Sergey Oladyshkin; Timothy Praditia; Ilja Kröker; Farid Mohammadi; Wolfgang Nowak; Sebastian Otte (Neural Networks, 2023)

Physical Domain Reconstruction with Finite Volume Neural Networks. - Cosku Can Horuz; Matthias Karlbauer; Timothy Praditia; Martin V. Butz; Sergey Oladyshkin; Wolfgang Nowak; Sebastian Otte (Appl. Artif. Intell., 2023)

3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks. - Melvin Ciurletti; Anna-Lena von Behren; Jannik Bühring; Sebastian Otte (ICANN (5), 2024)

Resonator-Gated RNNs. - Robert Deibel; Shahram Eivazi; Matrin V. Butz; Sebastian Otte (ICANN (1), 2024)

Learning Object Permanence from Videos via Latent Imaginations. - Manuel Traub; Frederic Becker; Sebastian Otte; Martin V. Butz (ICANN (3), 2024)

Loci-Segmented: Improving Scene Segmentation Learning. - Manuel Traub; Frederic Becker; Adrian Sauter; Sebastian Otte; Martin V. Butz (ICANN (3), 2024)

Balanced Resonate-and-Fire Neurons. - Saya Higuchi; Sebastian Kairat; Sander M. Bohté; Sebastian Otte (ICML, 2024)

Representation Learning of Multivariate Time Series using Attention and Adversarial Training. - Leon Scharwächter; Sebastian Otte (CoRR, 2024)

Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection. - Sebastian Otte (CoRR, 2024)

Understanding the Convergence in Balanced Resonate-and-Fire Neurons. - Saya Higuchi; Sander M. Bohté; Sebastian Otte (CoRR, 2024)

Inferring Underwater Topography with FINN. - Cosku Can Horuz; Matthias Karlbauer; Timothy Praditia; Sergey Oladyshkin; Wolfgang Nowak; Sebastian Otte (CoRR, 2024)

WARP-LCA: Efficient convolutional sparse coding with Locally Competitive Algorithm. - Geoffrey Kasenbacher; Felix Ehret; Gerrit A. Ecke; Sebastian Otte (Neurocomputing, 2025)

The Resurrection of the ReLU. - Cosku Can Horuz; Geoffrey Kasenbacher; Saya Higuchi; Sebastian Kairat; Jendrik Stoltz; Moritz Pesl; Bernhard A. Moser; Christoph Linse; Thomas Martinetz; Sebastian Otte (CoRR, 2025)

Minimal Convolutional RNNs Accelerate Spatiotemporal Learning. - Cosku Can Horuz; Sebastian Otte; Martin V. Butz; Matthias Karlbauer (CoRR, 2025)