Albert Podusenko | BIASlab

ExponentialFamilyManifolds.jl: Representing exponential families as Riemannian manifolds

Mon, 14 Apr 2025 16:37:31 +0200

Multi-Agent Trajectory Planning with NUV Priors

Wed, 10 Jul 2024 00:00:00 +0000

RxInfer: A Julia package for reactive real-time Bayesian inference

Thu, 20 Apr 2023 09:00:00 +0200

Message Passing-based Inference in Hierarchical Autoregressive Models

Tue, 20 Dec 2022 09:00:00 +0200

Message Passing-based System Identification for NARMAX Models

Fri, 09 Dec 2022 09:00:00 +0200

Message Passing-based Inference in Switching Autoregressive Models

Fri, 02 Sep 2022 00:00:00 +0000

ReactiveMP.jl: A Julia package for reactive variational Bayesian inference

Sun, 01 May 2022 00:00:00 +0000

Variational message passing for online polynomial NARMAX identification

Tue, 05 Apr 2022 09:00:00 +0200

AIDA: An active inference-Based design agent for audio processing algorithms

Mon, 07 Mar 2022 00:00:00 +0000

Message Passing-Based Inference in the Gamma Mixture Model

Mon, 25 Oct 2021 00:00:00 +0000

A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms

Thu, 14 Oct 2021 11:37:31 +0200

The Switching Hierarchical Gaussian Filter

Mon, 12 Jul 2021 00:00:00 +0000

Message Passing-Based Inference for Time-Varying Autoregressive Models

Fri, 28 May 2021 16:37:31 +0200

Online Variational Message Passing in Hierarchical Autoregressive Models

Mon, 22 Jun 2020 00:00:00 +0000

Bayesian joint state and parameter tracking in autoregressive models

Mon, 08 Jun 2020 00:00:00 +0000

Online Variational Message Passing in Autoregressive Models

Tue, 28 May 2019 18:07:00 +0200

ZERO-AAS

Thu, 01 Jun 2017 00:00:00 +0000

An NWO-TTW Perspectief program called ZERO, organized around 5 projects:

Parking sensors, such that cars can find a free parking slot autonomously.
Monitoring of traffic patterns using advanced audio beam processing.
Autonomous roadside monitoring with video.
Ultra-low power transponders for vulnerable traffic users.
Dependable autonomous computing platforms supporting mobile traffic users.

We were involved in P2, dubbed Autonomous Acoustic Systems (AAS). AAS can be found in various shapes and sizes, ranging from city wide acoustic monitoring systems to hearing aids worn by an individual. To deliver an improved quality and user experience, future generations of these systems should use adaptive signal processing algorithms, while staying within a stringent energy budget for autonomous operation. The AAS project uses two of these systems as driver cases to develop a novel programming paradigm and accompanying ultra-low power implementation platform for a wide range of autonomous acoustic systems.

Industrial partners: Resound, Sorama and Altran