Results 11 to 20 of about 5,621 (180)
Reverse Bisimilarity vs. Forward Bisimilarity [PDF]
, 2023 Reversibility is the capability of a system of undoing its own actions starting from the last performed one, in such a way that a past consistent state is reached.
Rossi, Sabina +3 more
core +1 more source
Multi-point nonequilibrium umbrella sampling and associated fluctuation relations [PDF]
, 2020 We describe a simple method of umbrella trajectory sampling for Markov chains. The method allows the estimation of large-deviation rate functions, for path-extensive dynamic observables, for an arbitrary number of models within a certain family.
Whitelam, Stephen
core +1 more source
A continuous time framework for discrete denoising models [PDF]
, 2023 We provide the first complete continuous time framework for denoising diffusion models of discrete data. This is achieved by formulating the forward noising process and corresponding reverse time generative process as Continuous Time Markov Chains (CTMCs)
Benton, Joe +5 more
core +1 more source
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models [PDF]
, 2023 We introduce a framework that enables efficient sampling from learned probability distributions for MRI reconstruction. Different from conventional deep learning-based MRI reconstruction techniques, samples are drawn from the posterior distribution given
Heide, Martin +3 more
core +1 more source
Automatic Differentiation of Programs with Discrete Randomness [PDF]
, 2022 Automatic differentiation (AD), a technique for constructing new programs which compute the derivative of an original program, has become ubiquitous throughout scientific computing and deep learning due to the improved performance afforded by gradient ...
Rackauckas, Christopher Vincent +7 more
core +1 more source
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models
, 2022 We introduce a framework that enables efficient sampling from learned probability distributions for MRI reconstruction. Different from conventional deep learning-based MRI reconstruction techniques, samples are drawn from the posterior distribution given
Heide, Martin +3 more
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Advanced Science, EarlyView.We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
Advanced Science, EarlyView.We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka +10 more
wiley +1 more source
Advanced Energy Materials, EarlyView.The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho +5 more
wiley +1 more source