Sebastian Otte

44 publications

8 venues

H Index 8

Affiliation

Eberhard Karls University of T bingen, Department of Computer Science, Germany

Links

Name	Venue	Year	citations
Balanced Resonate-and-Fire Neurons.	ICML	2024	0
Loci-Segmented: Improving Scene Segmentation Learning.	ICANN	2024	0
Learning Object Permanence from Videos via Latent Imaginations.	ICANN	2024	0
Resonator-Gated RNNs.	ICANN	2024	0
3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks.	ICANN	2024	0
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision.	ICLR	2023	0
Generating Sparse Counterfactual Explanations for Multivariate Time Series.	ICANN	2023	0
Infering Boundary Conditions in Finite Volume Neural Networks.	ICANN	2022	0
A Taxonomy of Recurrent Learning Rules.	ICANN	2022	1
Efficient LSTM Training with Eligibility Traces.	ICANN	2022	0
Composing Partial Differential Equations with Physics-Aware Neural Networks.	ICML	2022	0
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning.	ICANN	2021	0
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks.	IROS	2021	5
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge.	ICANN	2021	1
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification.	ICANN	2021	2
Dynamic Action Inference with Recurrent Spiking Neural Networks.	ICANN	2021	3
Latent Event-Predictive Encodings through Counterfactual Regularization.	Cognitive Science	2021	0
Binding and Perspective Taking as Inference in a Generative Neural Network Model.	ICANN	2021	0
Latent State Inference in a Spatiotemporal Generative Model.	ICANN	2021	0
Sequence Classification using Ensembles of Recurrent Generative Expert Modules.	ESANN	2020	0
Investigating Efficient Learning and Compositionality in Generative LSTM Networks.	ICANN	2020	4
Fostering Event Compression Using Gated Surprise.	ICANN	2020	4
Learning Precise Spike Timings with Eligibility Traces.	ICANN	2020	2
Inferring, Predicting, and Denoising Causal Wave Dynamics.	ICANN	2020	2
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction.	ESANN	2020	0
Gradient-Based Learning of Compositional Dynamics with Modular RNNs.	ICANN	2019	8
Incorporating Adaptive RNN-Based Action Inference and Sensory Perception.	ICANN	2019	1
Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE.	ICANN	2019	4
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms.	ICANN	2018	7
Online Carry Mode Detection for Mobile Devices with Compact RNNs.	ICANN	2018	0
Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications.	ICRA	2018	2
REPRISE: A Retrospective and Prospective Inference Scheme.	Cognitive Science	2018	5
A Computational Model for the Dynamical Learning of Event Taxonomies.	Cognitive Science	2017	12
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models.	ICANN	2017	8
Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks.	ICANN	2017	20
Anticipatory Active Inference from Learned Recurrent Neural Forward Models.	Cognitive Science	2017	0
Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots.	ICRA	2016	25
Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control.	ICANN	2016	8
Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design.	ICANN	2016	0
Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition.	ICANN	2016	12
Robust Visual Terrain Classification with Recurrent Neural Networks.	ESANN	2015	10
An analysis of Dynamic Cortex Memory networks.	IJCNN	2015	8
Learning Recurrent Dynamics using Differential Evolution.	ESANN	2015	1
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning.	ICANN	2014	22