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06/26/2023
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory
Artificial Intelligence and Machine learning have been widely used in va...
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04/06/2023
Inductive biases in deep learning models for weather prediction
Deep learning has recently gained immense popularity in the Earth scienc...
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09/30/2022
Efficient LSTM Training with Eligibility Traces
Training recurrent neural networks is predominantly achieved via backpro...
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07/23/2022
A Taxonomy of Recurrent Learning Rules
Backpropagation through time (BPTT) is the de facto standard for trainin...
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06/02/2022
Generating Sparse Counterfactual Explanations For Multivariate Time Series
Since neural networks play an increasingly important role in critical se...
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06/01/2022
Binding Dancers Into Attractors
To effectively perceive and process observations in our environment, fea...
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05/26/2022
Learning What and Where – Unsupervised Disentangling Location and Identity Tracking
Our brain can almost effortlessly decompose visual data streams into bac...
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02/23/2022
Inference of Affordances and Active Motor Control in Simulated Agents
Flexible, goal-directed behavior is a fundamental aspect of human life. ...
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11/23/2021
Composing Partial Differential Equations with Physics-Aware Neural Networks
We introduce a compositional physics-aware neural network (FINN) for lea...
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07/06/2021
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification
Motor disturbances can affect the interaction with dynamic objects, such...
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05/12/2021
Latent Event-Predictive Encodings through Counterfactual Regularization
A critical challenge for any intelligent system is to infer structure fr...
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04/13/2021
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport
Data-driven modeling of spatiotemporal physical processes with general d...
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04/08/2021
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks
In the paper, we show how scalable, low-cost trunk-like robotic arms can...
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12/09/2020
Binding and Perspective Taking as Inference in a Generative Neural Network Model
The ability to flexibly bind features into coherent wholes from differen...
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09/21/2020
Hidden Latent State Inference in a Spatio-Temporal Generative Model
Knowledge of the hidden factors that determine particular system dynamic...
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09/19/2020
Inferring, Predicting, and Denoising Causal Wave Dynamics
The novel DISTributed Artificial neural Network Architecture (DISTANA) i...
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05/12/2020
Fostering Event Compression using Gated Surprise
Our brain receives a dynamically changing stream of sensorimotor data. Y...
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05/08/2020
Learning Precise Spike Timings with Eligibility Traces
Recent research in the field of spiking neural networks (SNNs) has shown...
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04/16/2020
Investigating Efficient Learning and Compositionality in Generative LSTM Networks
When comparing human with artificial intelligence, one major difference ...
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12/23/2019
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction
We introduce a distributed spatio-temporal artificial neural network arc...
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09/19/2018