Ghana’s ambition to build a cash-lite economy, articulated in the National Financial Inclusion and Development Strategy ...

This study presents MPALM, a novel microscopy technique that captures nanoscale biomolecular dynamics, overcoming limitations ...

AI-powered style transfer has matured into a fast, controllable process capable of delivering high-quality, consistent visuals. By combining LoRA fine-tuning, structural conditioning, and diffusion ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

Diffusion MRI is increasingly used to study white-matter architecture, but tractography and diffusion metrics can be biased by different sampling schemes. We assessed systematic differences across ...

Abstract: Trajectory optimization for robotic systems remains a challenging problem. This is especially true for robotic systems featuring nonlinear dynamics and many degrees of freedom. Data-based or ...

Enhanced sampling techniques are essential for exploring biomolecular conformational dynamics that occur on time scales inaccessible to conventional molecular dynamics (MD) simulations. This study ...

Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...

Diffusion processes have emerged as promising approaches for sampling from complex distributions but face significant challenges when dealing with multimodal targets. Traditional methods based on ...

In this project, we compare MCMC methods with diffusion based methods, in particular we use pre-conditioned Crank-Nicholson (pCN) with Metropolis Hastings with TV Prior. In this work, we extend ...

Abstract: Despeckling is an important preprocessing step for synthetic aperture radar (SAR) image understanding and interpretation, and it can be regarded as an ill-posed inverse problem that heavily ...