3 papers
cs.LG2025
Progressive Tempering Sampler with Diffusion
Severi Rissanen, RuiKang OuYang, Jiajun He +4
Recent research has focused on designing neural samplers that amortize the process of sampling from unnormalized densities. However, despite significant advancements, they still fa…
cs.LG2025
Heterophily-informed Message Passing
Haishan Wang, Arno Solin, Vikas Garg
Graph neural networks (GNNs) are known to be vulnerable to oversmoothing due to their implicit homophily assumption. We mitigate this problem with a novel scheme that regulates the…
cs.CV2025
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Haishan Wang, Mohammad Hassan Vali, Arno Solin
3D Gaussian Splatting (3DGS) has demonstrated remarkable effectiveness in 3D reconstruction, achieving high-quality results with real-time radiance field rendering. However, a key…