Abstract: In this letter, we propose a Gaussian mixture model (GMM)-based channel estimator which is learned on imperfect training data, i.e., the training data are solely comprised of noisy and ...
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Abstract: Sampling noise and density variation widely exist in the point cloud acquisition process, leading to few accurate point-to-point correspondences. Since they rely on point-to-point ...
Nous Research has released Hermes Mixture of Agents 2.0 (MoA 2.0), an update to its open-source Hermes Agent framework that ...
Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.
The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...
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