2 citations · 7 across the 15 of their papers we have counts for
4 papers · 1 filter
Single State Update Predictive Coding training for Time Series Forecasting and Anomaly Detection
Matteo Cardoni, Sam Leroux
Predictive Coding (PC) is a neural learning paradigm that enables parallelizable neural network layer updates. However, the main bottleneck of PC Networks (PCN) is the sequential b…
Le MuMo JEPA: Multi-Modal Self-Supervised Representation Learning with Learnable Fusion Tokens
Ciem Cornelissen, Sam Leroux, Pieter Simoens
Self-supervised learning has emerged as a powerful paradigm for learning visual representations without manual annotations, yet most methods still operate on a single modality and…
THDC: Training Hyperdimensional Computing Models with Backpropagation
Hanne Dejonghe, Sam Leroux
Hyperdimensional computing (HDC) offers lightweight learning for energy-constrained devices by encoding data into high-dimensional vectors. However, its reliance on ultra-high dime…
Efficient On-Board Processing of Oblique UAV Video for Rapid Flood Extent Mapping
Vishisht Sharma, Sam Leroux, Lisa Landuyt +2
Effective disaster response relies on rapid disaster response, where oblique aerial video is the primary modality for initial scouting due to its ability to maximize spatial covera…