diffusion models

DiffCold: A Diffusion-Based Generative Model for Cold-Start Item Recommendation

Autistic and non-autistic children’s perceptual decision-making in visual orientation and motion tasks and the effect of task instructions

Abstract Diffusion decision models (DDMs) offer the potential to go beyond standard accuracy and response-time indices to better understand perceptual decision-making in autism. One unanswered question is whether autistic participants can flexibly adjust the speed and accuracy of their decision-making according to task...

L-GTA: Latent Generative Modeling for Time Series Augmentation

Trusting the Algorithm: Exploring Higher Educators' Confidence in Generative AI Tools for Academic Assistance

The rapid diffusion of generative artificial intelligence (GenAI) in higher education is transforming academic teaching, research, and administrative practices while simultaneously challenging institutional structures for governance, professional development, and academic integrity. Despite the growing use of GenAI too...

Trusting the Algorithm: Exploring Higher Educators' Confidence in Generative AI Tools for Academic Assistance

The rapid diffusion of generative artificial intelligence (GenAI) in higher education is transforming academic teaching, research, and administrative practices while simultaneously challenging institutional structures for governance, professional development, and academic integrity. Despite the growing use of GenAI too...

Coherence Loss in Long-Context Language Models as a Threshold Instability: A Plasma-Physics Analogy and a Feedback-Control Proposal

Large language models lose coherence over long reasoning chains and long contexts: accuracy degrades with input length well inside the nominal context window, per-step errors compound, and the end state is often a fluent contradiction of the model's own earlier statements. This note draws a structural analogy between t...

Rethinking 3D Noise: Learning 3D-Aware Video Priors via Optimization-Free Morphological Perturbations

This work proposes 3D Morphological Perturbations as an optimization-free regularizer that preserves spatial consistency in 3D scene representations and treats each Gaussian as a fundamental building block and applies perturbations across its morphological parameter space via scale, rotation, and pruning.

Enhanced 3D modeling of single- and two-phase turbulent mixing in interconnected sub-channels through advanced diffusion and dispersion terms

Brechas en el uso de tecnologías digitales. Un marco conceptual multidimensional de veintidós brechas digitales encadenadas en la era de la inteligencia algorítmica

Resumen La noción de brecha digital nació para describir una diferencia binaria de acceso físico a computadoras e internet. La investigación posterior la reformuló como una desigualdad estratificada en niveles (acceso, habilidades y usos, resultados), pero la difusión de la inteligencia algorítmica, es decir, de los si...

Title: Non-Euclidean Diffusion Processes for Material Science

This paper explores the potential of non-Euclidean diffusion processes to revolutionize material science. Traditional approaches often assume uniform material properties, limiting our ability to precisely tailor material structures. We propose a novel mathematical framework based on a non-Euclidean diffusion equation,...

Overinclusion but not social exclusion shifts sacrificial harm acceptance in online ostracism paradigm

Abstract The cognitive-motivational repercussions of social exclusion have been extensively studied, particularly its adverse effects on cognitive functions such as decision-making. However, its influence on moral decision-making remains underexplored. In an era where a significant portion of social interaction takes p...

A non-iterative method for single particle models of lithium-ion batteries with electrolyte dynamics