arXiv:2306.02002v2 Announce Type: replace
Abstract: Existing research on robust Graph Neural Networks (GNNs) focuses predominantly on undirected graphs, overlooking the trustworthiness inherent in…
arXiv:2601.05845v2 Announce Type: replace
Abstract: Poisson non-negative matrix factorization (NMF) is a widely used method to find interpretable “parts-based” decompositions of count data. While…
arXiv:2610.20162v2 Announce Type: replace-cross
Abstract: Language models often produce semantically similar answers to open-ended questions, even when many plausible alternatives exist. Generating…
arXiv:2610.19342v2 Announce Type: replace-cross
Abstract: Agents are increasingly interacting with other agents that act for different principals (people or organizations on whose behalf they work),…
arXiv:2610.21918v1 Announce Type: cross
Abstract: Language-guided 3D affordance grounding aims to localize functional regions on 3D objects according to interaction intents. However, existing…
arXiv:2606.02522v2 Announce Type: replace-cross
Abstract: Video multimodal large language models (MLLMs) have made rapid progress in general and long-form video understanding, yet their ability to…
arXiv:2608.12587v4 Announce Type: replace-cross
Abstract: This article presents with DYSANOS the first generative market model for smooth SANOS option surfaces for all strikes and expiries which are…
arXiv:2610.21356v1 Announce Type: cross
Abstract: Healthcare institutions routinely accumulate high-dimensional computed tomography (CT) volumes, but only a fraction can be annotated by experts. We…
arXiv:2610.03092v3 Announce Type: replace
Abstract: Scientific discovery often begins when scattered clues call for a new way of describing the world. Such abductive exploration can require…
What Is Mixture-of-Experts and Dynamic Routing in Neural Networks? A Complete Guide Imagine a hospital where instead of sending every patient to every specialist, an intelligent gatekeeper directs them to exactly the right doctors for their specific condition. This is precisely what mixture-of-experts (MoE) systems do inside artificial neural networks—they route different types of information … Read more