Results 221 to 230 of about 4,616 (278)

The edge-averaging process on graphs with random initial opinions. [PDF]

Proc Natl Acad Sci U S A
Elboim D, Peres Y, Peretz R.
europepmc   +1 more source

Multidimensional Distributional Neural Network Output Demonstrated in Super‐Resolution of Surface Wind Speed

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate quantification of uncertainty in neural network predictions remains a central challenge for scientific applications involving high‐dimensional, correlated data. While existing methods capture either aleatoric or epistemic uncertainty, few offer closed‐form, multidimensional distributions that preserve spatial correlation while ...
Harrison J. Goldwyn, Mitchell Krock, Johann Rudi, Daniel Getter, Julie Bessac   +4 more
wiley   +1 more source

Spiking neural models for decision-making tasks with learning. [PDF]

J Math Biol
Jaffard S, Mezzadri G, Reynaud-Bouret P, Tanré E.   +3 more
europepmc   +1 more source

Exploring Potential Mechanisms for the Initiation of Solifluction Patterns

AGU Advances, Volume 7, Issue 3, June 2026.
Abstract Hillslopes in arctic regions commonly display large‐scale features—known as solifluction patterns—that form due to the exceedingly slow downhill movement of frost‐heaved soil. Here we use a combination of remote sensing data, linear stability analysis, numerical modeling, and review of a wide range of literature to evaluate several working ...
Rachel C. Glade, JohnPaul Sleiman, Alice Quillen, Fernando David Cúñez, Sarah Williams   +4 more
wiley   +1 more source

Training thermodynamic computers by gradient descent. [PDF]

Proc Natl Acad Sci U S A
Whitelam S.
europepmc   +1 more source

Cyberattack Detection, Fault Estimation, and Fault‐Tolerant Control of Smart‐Grid Cyber‐Physical Systems

IET Smart Energy Systems, Volume 2, Issue 2, Page 102-119, June 2026.
A resilient estimation and control framework is developed for smart‐grid cyber‐physical systems to simultaneously detect cyberattacks and estimate physical faults. The proposed method ensures accurate estimation and robust performance under disturbances and sparse sensor attacks.
Jin Li, Youmin Zhang
wiley   +1 more source

Predicting NMR Relaxation Using a First-Principles Brownian Dynamics Approach. [PDF]

J Chem Theory Comput
Zerbetto M, Rampino S, Polimeno A.
europepmc   +1 more source

Strategic Influencers and the Shaping of Beliefs

The RAND Journal of Economics, Volume 57, Issue 2, Page 271-284, Summer 2026.
ABSTRACT Influencers, from propagandists to sellers, expend vast resources targeting agents who amplify their message through word‐of‐mouth communication. While agents differ in network position, they also differ in their bias: Agents may naturally read articles with a particular slant or buy products from a certain seller.
Akhil Vohra
wiley   +1 more source