47 citations · 83 across the 8 of their papers we have counts for
9 papers
Bayesian sparsification for deep neural networks with Bayesian model reduction
Dimitrije Marković, Karl J. Friston, Stefan J. Kiebel
Deep learning's immense capabilities are often constrained by the complexity of its models, leading to an increasing demand for effective sparsification techniques. Bayesian sparsi…
Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access
Christel Baier, Clemens Dubslaff, Patrick Wienhöft +1
A central task in control theory, artificial intelligence, and formal methods is to synthesize reward-maximizing strategies for agents that operate in partially unknown environment…
Fast frequency modulation is encoded according to the listener expectations in the human subcortical auditory pathway
Alejandro Tabas, Stefan Kiebel, Michael Marxen +1
Expectations aid and bias our perception. In speech, expected words are easier to recognise than unexpected words, particularly in noisy environments, and incorrect expectations ca…
An empirical evaluation of active inference in multi-armed bandits
Dimitrije Markovic, Hrvoje Stojic, Sarah Schwoebel +1
A key feature of sequential decision making under uncertainty is a need to balance between exploiting--choosing the best action according to the current knowledge, and exploring--o…
Neuronal Sequence Models for Bayesian Online Inference
Sascha Frölich, Dimitrije Marković, Stefan J. Kiebel
Sequential neuronal activity underlies a wide range of processes in the brain. Neuroscientific evidence for neuronal sequences has been reported in domains as diverse as perception…
Predictive coding underlies adaptation in the subcortical sensory pathway
Alejandro Tabas, Glad Mihai, Stefan Kiebel +2
The subcortical sensory pathways are the fundamental channels for mapping the outside world to our minds. Sensory pathways efficiently transmit information by adapting neural respo…
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
Sebastian Bitzer, Stefan J. Kiebel
In simple perceptual decisions the brain has to identify a stimulus based on noisy sensory samples from the stimulus. Basic statistical considerations state that the reliability of…
Online Discrimination of Nonlinear Dynamics with Switching Differential Equations
Sebastian Bitzer, Izzet B. Yildiz, Stefan J. Kiebel
How to recognise whether an observed person walks or runs? We consider a dynamic environment where observations (e.g. the posture of a person) are caused by different dynamic proce…
Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks
Sebastian Bitzer, Stefan J. Kiebel
Recurrent neural networks (RNNs) are widely used in computational neuroscience and machine learning applications. In an RNN, each neuron computes its output as a nonlinear function…