activity
20152026
most citedPrincipled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization

4 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SD2026

A Probabilistic Generative Model for Spectral Speech Enhancement

Marco Hidalgo-Araya, Raphaël Trésor, Bart Van Erp +3

Speech enhancement in hearing aids remains a difficult task in nonstationary acoustic environments, mainly because current signal processing algorithms rely on fixed, manually tune…

q-bio.NC2025

Spike-Timing-Dependent Plasticity for Bernoulli Message Passing

Sepideh Adamiat, Wouter M. Kouw, Bert de Vries

Bayesian inference provides a principled framework for understanding brain function, while neural activity in the brain is inherently spike-based. This paper bridges these two pers…

stat.ML2023

Toward Design of Synthetic Active Inference Agents by Mere Mortals

Bert de Vries

The theoretical properties of active inference agents are impressive, but how do we realize effective agents in working hardware and software on edge devices? This is an interestin…

cs.LG2022★ 4 cited

Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization

Jim Beckers, Bart van Erp, Ziyue Zhao +2

Bayesian model reduction provides an efficient approach for comparing the performance of all nested sub-models of a model, without re-evaluating any of these sub-models. Until now,…

cs.LG2021

Reactive Message Passing for Scalable Bayesian Inference

Dmitry Bagaev, Bert de Vries

We introduce Reactive Message Passing (RMP) as a framework for executing schedule-free, robust and scalable message passing-based inference in a factor graph representation of a pr…

eess.SP2018

A Probabilistic Modeling Approach to One-Shot Gesture Recognition

Anouk van Diepen, Marco Cox, Bert de Vries

Gesture recognition enables a natural extension of the way we currently interact with devices. Commercially available gesture recognition systems are usually pre-trained and offer…

stat.AP2015★ 3 cited

A Bayesian binary classification approach to pure tone audiometry

Marco Cox, Bert de Vries

The pure tone hearing threshold is usually estimated from responses to stimuli at a set of standard frequencies. This paper describes a probabilistic approach to the estimation pro…