Abstract: Graph Neural Networks (GNNs) have aroused increasing research attention for their effectiveness on graph mining tasks. However, full-batch training methods based on stochastic gradient ...
LAS VEGAS, Dec. 25, 2025 /PRNewswire/ -- At LAS VEGAS, Jan 6, 2026, the xLean team will bring the ground-breaking xLean TR1, the world's first dual-form transformable floor washing robot vacuum with ...
This is the official implementation of the paper, titled "Neural Importance Sampling of Many Lights", to be presented at ACM SIGGRAPH 2025 (conference track). We propose a hybrid neural approach for ...
Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...
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