Gemini Diffusion is also useful for tasks such as refactoring code, adding new features to applications, or converting an existing codebase to a different language.

Pi-DPM leverages the Denoising Diffusion Probabilistic Model (DDPM) framework to learn the normal patterns of object trajectories, then detects anomalies as deviations from these patterns. Unlike ...

Ensuring the safe driving and decision-making of autonomous vehicles requires reliable modeling of the multimodal motion of vehicles. In this paper, we propose a novel scenario-guided diffusion ...

Distributed Acoustic Sensing (DAS) systems offer a promising framework for advanced subsurface imaging and monitoring. Despite the great potential, the complex noise characteristics inherent in ...

The official site for the 2025 NBA Draft Lottery. The participating teams and final Lottery odds will be determined at the conclusion of the 2024-25 regular season.

This project implements a Denoising Diffusion Probabilistic Model (DDPM) for generating MNIST digits. The implementation uses PyTorch and includes both training and sampling capabilities. . ├── ...

Variance is a measurement of the spread between numbers in a data set. Investors use the variance equation to evaluate a portfolio’s asset allocation.

Unsupervised EEG-Based Seizure Anomaly Detection with Denoising Diffusion Probabilistic Models. ... calculated thresholds on the average of intermediate samples, which has less noise and more salient ...