ByteDance Seedance 2.5 enters public launch this week with a claim no other AI video model has matched: 30-second native ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...

Abstract: Diffusion models have achieved excellent success in solving inverse problems due to their ability to learn strong image priors, but existing approaches require a large training dataset of ...

Abstract: In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems.

We propose a new method called Decoupled Annealing Posterior Sampling (DAPS) that relies on a novel noise annealing process to solve posterior sampling with diffusion prior. Specifically, we decouple ...

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...

Structure-based drug design is a critical field in chemistry and biology, and recent advancements in machine learning have significantly enhanced the generation of ligands with high binding affinities ...

The Netflix sci-fi adaptation has done its physics homework, even if it sometimes falls short on the humanities. By James Poniewozik The aliens who menace humankind in Netflix’s “3 Body Problem” ...