GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...

Many tropical bird species have restricted elevational distributions, potentially limited by how environmental conditions affect physiological processes. While some studies have examined adult ...

Official implementation of DyWeight, a learned sampling method for diffusion models that dynamically predicts optimal solver weights during generation. Complete workflow: The full pipeline (training, ...

To demonstrate improved image quality and lesion conspicuity in prostate diffusion-weighted imaging (DWI) using an inside-out nonlinear gradient coil that provides locally strong gradients (200-500 ...

Abstract: Remote sensing imagery is important for geographical object exploration, but shadow contamination consistently challenges the image formation quality and subsequent applications. Although ...

In GAMA's manual, I observed that diffusion can be performed by customizing uniform/irregular gradient matrices, But when writing code, keyword matrices and propagation cannot be used simultaneously.

Abstract: In federated learning (FL), multiple clients train a global model by sharing gradients. Since the client data remains locally, federated learning is considered privacy-safe. Although ...

This important study uses diffusion magnetic resonance imaging to non-invasively map the white matter fibres connecting the zona incerta and cortex in humans. The authors present convincing evidence ...