activity
20242026
most citedResource-Efficient Gesture Recognition using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Logic Gate Networks and Lookup Table Networks as Lightweight Hardware Classifiers for Inter-patient ECG Arrhythmia Classification

Wout Mommen, Lars Keuninckx, Siddharth Patil +3

Deep Differentiable Logic Gate Networks (LGNs) and Lookup Table Networks (LUTNs) offer a promising approach for very low power inference due to their use of simple binary logic ope…

cs.LG2026

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks

Wout Mommen, Lars Keuninckx, Matthias Hartmann +2

We introduce a novel method for both partial and full optimization of the connections in deep differentiable logic gate networks (LGNs) and lookup table networks (LUTNs). Our train…

cs.LG2026

Inter-patient ECG Arrhythmia Classification with LGNs and LUTNs

Wout Mommen, Lars Keuninckx, Paul Detterer +2

Deep Differentiable Logic Gate Networks (LGNs) and Lookup Table Networks (LUTNs) are demonstrated to be suitable for the automatic classification of electrocardiograms (ECGs) using…

cs.LG2025

A Method for Optimizing Connections in Differentiable Logic Gate Networks

Wout Mommen, Lars Keuninckx, Matthias Hartmann +1

We introduce a novel method for partial optimization of the connections in Deep Differentiable Logic Gate Networks (LGNs). Our training method utilizes a probability distribution o…

cs.CV2024★ 1 cited

Resource-Efficient Gesture Recognition using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation

Ali Safa, Wout Mommen, Lars Keuninckx

This work proposes a novel approach for hand gesture recognition using an inexpensive, low-resolution (24 x 32) thermal sensor processed by a Spiking Neural Network (SNN) followed…