A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need for massive computing resources. Called Time-to-Move (TTM), it offers ...

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 ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

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 ...

Advances in diffusion MRI (dMRI) have enabled increasingly precise reconstruction and quantification of white matter pathways, and tractometry has emerged as a powerful framework for examining ...

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

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

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 ...

Accurate forest volume estimation is crucial for sustainable forest management, but the most commonly used methods often rely on models that may not always be applicable across different tree species ...

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 ...