20 citations · 38 across the 6 of their papers we have counts for
6 papers
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach
Andreas B. Ofner, Achilles Kefalas, Stefan Posch +1
This paper introduces a method for the detection of knock occurrences in an internal combustion engine (ICE) using a 1D convolutional neural network trained on in-cylinder pressure…
Differentiable Generalised Predictive Coding
André Ofner, Sebastian Stober
This paper deals with differentiable dynamical models congruent with neural process theories that cast brain function as the hierarchical refinement of an internal generative model…
Predictive coding, precision and natural gradients
Andre Ofner, Raihan Kabir Ratul, Suhita Ghosh +1
There is an increasing convergence between biologically plausible computational models of inference and learning with local update rules and the global gradient-based optimization…
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
André Ofner, Sebastian Stober
We present PredProp, a method for optimization of weights and states in predictive coding networks (PCNs) based on the precision of propagated errors and neural activity. PredProp…
PredNet and Predictive Coding: A Critical Review
Roshan Rane, Edit Szügyi, Vageesh Saxena +2
PredNet, a deep predictive coding network developed by Lotter et al., combines a biologically inspired architecture based on the propagation of prediction error with self-supervise…
Hybrid Active Inference
André Ofner, Sebastian Stober
We describe a framework of hybrid cognition by formulating a hybrid cognitive agent that performs hierarchical active inference across a human and a machine part. We suggest that,…