Sebastian Otte

发表

Investigating Long Short-Term Memory Networks for various Pattern Recognition Prolems

Sebastian Otte, Marcus Liwicki, Dirk Krechel, 2013, MLDM Posters.

Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications

Andreas Zell, Sebastian Otte, Richard Hanten, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models

Martin V. Butz, Adrian Zwiener, Sebastian Otte, 2017, ICANN.

Optimizing recurrent reservoirs with neuro-evolution

Andreas Zell, Martin V. Butz, Sebastian Otte, 2016, Neurocomputing.

Incorporating Adaptive RNN-Based Action Inference and Sensory Perception

Martin V. Butz, Sebastian Otte, Jakob Stoll, 2019, ICANN.

Binding and Perspective Taking as Inference in a Generative Neural Network Model pdf

Martin V. Butz, Sebastian Otte, Fabian Schrodt, 2020, ICANN.

Inferring, Predicting, and Denoising Causal Wave Dynamics pdf

Martin V. Butz, Sebastian Otte, Matthias Karlbauer, 2020, ICANN.

ANTSAC: A Generic RANSAC Variant Using Principles of Ant Colony Algorithms

Andreas Zell, Sebastian Otte, Ulrich Schwanecke, 2014, 2014 22nd International Conference on Pattern Recognition.

Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition

Andreas Zell, Sebastian Otte, Richard Hanten, 2016, ICANN.

Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps

Andreas Zell, Sebastian Otte, Richard Hanten, 2016, IAS.

Learning Recurrent Dynamics using Differential Evolution

Andreas Zell, Martin V. Butz, Sebastian Otte, 2015, ESANN.

JANNLab Neural Network Framework for Java

Sebastian Otte, Marcus Liwicki, Dirk Krechel, 2013, MLDM Posters.

Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning

Andreas Zell, Sebastian Otte, Marcus Liwicki, 2014, ICANN.

Recurrent Neural Networks for Sequential Pattern Recognition Applications

Sebastian Otte, 2017 .

Configuration Depending Crosstalk Torque Calibration for Robotic Manipulators with Deep Neural Regression Models

Andreas Zell, Adrian Zwiener, Sebastian Otte, 2018, IAS.

Learning Precise Spike Timings with Eligibility Traces

Martin V. Butz, Sebastian Otte, Manuel Traub, 2020, ICANN.

OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks

Sebastian Otte, Alexander Schlaefer, Gereon Hüttmann, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Robust Visual Terrain Classification with Recurrent Neural Networks

Andreas Zell, Sebastian Otte, Marcus Liwicki, 2015, ESANN.

Distributed Evolutionary Optimization of Neural Network Topologies

Sebastian Otte, Dirk Krechel, Florian Schaefer, 2011, MLDM Posters.

Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms

Martin V. Butz, Sebastian Otte, Lea Hofmaier, 2018, ICANN.

Recurrent neural networks for sequential patterns recognition applications

Sebastian Otte, 2017 .

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE

Martin V. Butz, Sebastian Otte, Tobias Menge, 2019, ICANN.

REPRISE: A Retrospective and Prospective Inference Scheme

Martin V. Butz, Sebastian Otte, Alistair Knott, 2018, CogSci.

Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design

Andreas Zell, Sebastian Otte, Alexander Dörr, 2016, ICANN.

A Computational Model for the Dynamical Learning of Event Taxonomies

Martin V. Butz, Sebastian Otte, Christian Gumbsch, 2017, CogSci.

An analysis of Dynamic Cortex Memory networks

Andreas Zell, Sebastian Otte, Marcus Liwicki, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Local Feature Based Online Mode Detection with Recurrent Neural Networks

Sebastian Otte, Marcus Liwicki, Dirk Krechel, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Anticipatory Active Inference from Learned Recurrent Neural Forward Models

Martin V. Butz, Sebastian Otte, Theresa Schmitt, 2017, CogSci.

Revisiting Deep Neural Networks for RGB-D based Object Recognition

Andreas Zell, Sebastian Otte, Lorand Madai-Tahy, 2016 .

Gradient-Based Learning of Compositional Dynamics with Modular RNNs

Martin V. Butz, Sebastian Otte, Patricia Rubisch, 2019, ICANN.

Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning

Andreas Zell, Sebastian Otte, 2014 .

Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture

Martin V. Butz, Sebastian Otte, Alistair Knott, 2018, Neural Networks.

Investigating Efficient Learning and Compositionality in Generative LSTM Networks

Martin V. Butz, Sebastian Otte, Sarah Fabi, 2020, ICANN.

Fostering Event Compression using Gated Surprise pdf

Martin V. Butz, Sebastian Otte, Dania Humaidan, 2020, ICANN.

Sequence Classification using Ensembles of Recurrent Generative Expert Modules

Martin V. Butz, Sebastian Otte, Sarah Fabi, 2020, ESANN.

Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control

Andreas Zell, Adrian Zwiener, Sebastian Otte, 2016, ICANN.

Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots

Andreas Zell, Sebastian Otte, Christian Weiss, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Online Carry Mode Detection for Mobile Devices with Compact RNNs

Sebastian Otte, Philipp Kuhlmann, Paul Sanzenbacher, 2018, ICANN.

Hidden Latent State Inference in a Spatio-Temporal Generative Model pdf

Martin V. Butz, Sebastian Otte, Matthias Karlbauer, 2020, ArXiv.

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction

Martin V. Butz, Sebastian Otte, Matthias Karlbauer, 2019, ESANN.

Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks

Martin V. Butz, Karl J. Friston, Sebastian Otte, 2017, ICANN.

Active Tuning pdf

Martin V. Butz, Sebastian Otte, Matthias Karlbauer, 2020, ArXiv.

On the Applicability of Recurrent Neural Networks for Pattern Recognition in Electroencephalography Signals

Andreas Zell, Sebastian Otte, Marcel Binz, 2015 .

Dynamic Cortex Memory Networks

Andreas Zell, Sebastian Otte, Marcus Liwicki, 2015 .

Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification

Martin A. Giese, Winfried Ilg, Sebastian Otte, 2021, ICANN.

Dynamic Action Inference with Recurrent Spiking Neural Networks

Martin V. Butz, Sebastian Otte, Manuel Traub, 2021, ICANN.

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport pdf

Martin V. Butz, Sebastian Otte, Sergey Oladyshkin, 2021, ArXiv.

Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge

Martin V. Butz, Sebastian Otte, Sarah Fabi, 2021, ICANN.

Composing Partial Differential Equations with Physics-Aware Neural Networks pdf

Martin V. Butz, Sebastian Otte, Sergey Oladyshkin, 2021, ArXiv.

Demand Forecasting Using Ensemble Learning for Effective Scheduling of Logistic Orders

Sebastian Otte, Matthias Peissner, Katharina Lingelbach, 2021, AHFE.

Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning

Martin V. Butz, Sebastian Otte, Manuel Traub, 2021, ICANN.

Latent State Inference in a Spatiotemporal Generative Model

Martin V. Butz, Volker Wulfmeyer, Sebastian Otte, 2020, ICANN.

Latent Event-Predictive Encodings through Counterfactual Regularization pdf

Martin V. Butz, Sebastian Otte, Charley M. Wu, 2021, CogSci.

Inference of time series components by online co-evolution

Martin V. Butz, Sebastian Otte, Danil Koryakin, 2021, Genetic Programming and Evolvable Machines.

Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model

Martin V. Butz, Sebastian Otte, Fabian Schrodt, 2021, 2021 IEEE International Conference on Development and Learning (ICDL).

Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks

Sebastian Otte, Manuel Traub, Robert Legenstein, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).