The study of gradient flows and large deviations in stochastic processes forms a vital link between microscopic randomness and macroscopic determinism. By characterising how systems evolve in response ...
Elastic flows and gradient flows in planar curves form a vibrant area of research in geometric analysis, where curves evolve in time under rules dictated by an energy functional. Central to this ...
Abstract: This letter presents a novel finite- and fixed-time convergent framework for solving constrained convex optimization problems using safe gradient flow dynamics. In the existing literature, ...
Abstract: Gas leak detection is essential for real-time monitoring and safety early warning of industrial production, manufacturing, and transportation processes. For many years, infrared optical gas ...
The final, formatted version of the article will be published soon. Background: Continuous-flow ventricular assist devices (VADs) have been widely adopted in clinical practice for the treatment of ...
Improved model speed (9-12% faster) and training stability. Fixed bugs in configs, RK2 sampler, and validation. Simplified point cloud packing and shaping. Checkpoints are compatible with the previous ...
This repository contains the official PyTorch implementation of spectral mean flow. The codebase has been tested with NVIDIA H100 GPUs. We recommend using the official PyTorch Docker image with CUDA ...
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