activity
20212026
most citedOffline Auto Labeling: BAAS

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Quantum Prediction of Transport Dynamics in Discretized State Spaces

Felix Govaers

We propose a gate-based quantum algorithm for the prediction step of Bayesian state estimation based on the Fokker-Planck equation on a discretized position-velocity state space. T…

cs.CV2025★ 1 cited

Offline Auto Labeling: BAAS

Stefan Haag, Bharanidhar Duraisamy, Felix Govaers +3

This paper introduces BAAS, a new Extended Object Tracking (EOT) and fusion-based label annotation framework for radar detections in autonomous driving. Our framework utilizes Baye…

cs.LG2024

Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs

Paul M. Baggenstoss, Kevin Wilkinghoff, Felix Govaers +1

The projected belief network (PBN) is a generative stochastic network with tractable likelihood function based on a feed-forward neural network (FFNN). The generative function oper…

cs.LG2023

A Comparison of PDF Projection with Normalizing Flows and SurVAE

Paul M. Baggenstoss, Felix Govaers

Normalizing flows (NF) recently gained attention as a way to construct generative networks with exact likelihood calculation out of composable layers. However, NF is restricted to…

quant-ph2021

Adiabatic Quantum Computing for Solving the Weapon-Target Assignment Problem

Veit Stooß, Martin Ulmke, Felix Govaers

Quantum computing promises significant improvements of computation capabilities in various fields such as machine learning and complex optimization problems. Recent technological a…