Paper-Conference

Online Single-Microphone Source Separation using Non-Linear Autoregressive Models
In this paper a modular approach to single-microphone source separation is proposed. A probabilistic model for mixtures of observations …
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Hybrid Inference with Invertible Neural Networks in Factor Graphs
This paper bridges the gap in the literature between neural networks and probabilistic graphical models. Invertible neural networks are …
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Gaussian Process-based Amortization of Variational Message Passing Update Rules
Variational Message Passing facilitates automated variational inference in factorized probabilistic models where connected factors are …
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Message Passing-based Inference in Switching Autoregressive Models
The switching autoregressive model is a flexible model for signals generated by non-stationary processes. Unfortunately, evaluation of …
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Adaptive importance sampling message passing
The aim of Probabilistic Programming (PP) is to automate inference in probabilistic models. One efficient realization of PP-based …
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Adaptive Optimizer Design for Constrained Variational Inference
This paper addresses the problem of implementing robust and hyperparameter-free natural gradient variational inference. Natural …
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Variational message passing for online polynomial NARMAX identification
We propose a variational Bayesian inference procedure for online nonlinear system identification. For each output observation, a set of …
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ReactiveMP.jl: A Julia package for reactive message passing-based Bayesian inference
ReactiveMP.jl is a native Julia implementation of reactive message passing-based Bayesian inference in probabilistic graphical models …
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Message Passing-Based Inference in the Gamma Mixture Model
The Gamma mixture model is a flexible probability distribution for representing beliefs about scale variables such as precisions. …
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Variational Log-Power Spectral Tracking for Acoustic Signals
This paper proposes a generative hierarchical probabilistic model for acoustic signals where both the frequency decomposition and …
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