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diffusion models

2,130 papers

#diffusion models Open access Sep 2026

Crystals in rhyolitic melts can nucleate multiple bubbles: an experimentally constrained model

Abstract Heterogeneous nucleation of bubbles on crystals in magma is thought to be an important driver of volcanic eruptions. Decompression experiments were carried out to elucidate the kinetics of H 2 O bubble nucleation on crystals of different sizes. Samples used were mixtures of hydrated rhyolitic melt and populati...

Quinn Johnson, James E. Gardner, Wade Aubin et al. · 0 citations
#large language models Dataset Open access Sep 2026

Transmute2K: Library of Image Transformations Simulations and Augmentations

Transmute2K: Library of Image Transformations Simulations and Augmentations, based 2K methods, models and simulation from science, art and math. Transmute2K is a large-scale library and dataset containing 2,000 image transformation methods based on techniques, simulations and models from various fields of science, math...

Transmute Foundation · 0 citations
#diffusion models Open access Sep 2026

Phlegethon: a fully compressible magnetohydrodynamic code for simulations in stellar astrophysics

We present PHLEGETHON, a fully compressible, Eulerian magnetohydrodynamic (MHD) code designed for multidimensional simulations in stellar astrophysics. The code uses a time-explicit, second-order, finite-volume method optimized to model a wide range of dynamical processes in stars, from very low-Mach-number turbulent c...

G. Leidi, A. Holas, K. Vitovsky et al. · 0 citations
#diffusion models Open access Sep 2026

The Swarm Simulator: A Dynamical Systems Model of Collective Intelligence Using the TO/TOGT Operator Pipeline

The Swarm Simulator: A Dynamical Systems Model of Collective Intelligence Using the TO/TOGT Operator Pipeline Version 3, September 2026 (corrections and formal checks) Pablo Nogueira Grossi, G6 LLC, Newark, NJ. ORCID: 0009-0000-6496-2186Versions: V1 10.5281/zenodo.19208284; V2 10.5281/zenodo.20230613; V3 (this deposit)...

Pablo Nogueira Grossi · 0 citations
#diffusion models Open access Sep 2026

Pmt waveform simulation and reconstruction with conditional diffusion network

Abstract Photomultiplier tubes (PMTs) are widely employed in particle and nuclear physics experiments. The accuracy of PMT waveform reconstruction directly impacts the vertex and energy resolution of detectors. A key challenge arises when multiple photons arrive within a few nanoseconds, making it difficult to resolve...

Kainan Liu, Jingyu Huang, Guihong Huang et al. · 0 citations
#diffusion models Open access Sep 2026

China regional 3 km downscaling based on residual Corrective Diffusion model

Forecasts of radar composite reflectivity reveal that CorrDiff, as a generative model, is capable of capturing fine-grained meteorological details, yielding more physically realistic predictions than deterministic regression-based downscaling models.

Hong-Lu Sun, Hao Jing, Zhi-Xiang Dai et al. · 0 citations
#diffusion models Open access Sep 2026

Exploring out-of-distribution detection for sparse-view computed tomography with diffusion models

Abstract Recent works demonstrate the effectiveness of diffusion models as unsupervised solvers for inverse imaging problems. Sparse-view computed tomography (CT) has greatly benefited from these advancements, achieving improved generalization without reliance on measurement parameters. However, this comes at the cost...

Ezgi Demircan-Tureyen, Felix F. Lucka, Tristan van Leeuwen · 0 citations
#diffusion models Open access Sep 2026

Diffusion Approximation Error for Queueing Systems with General Primitives

We investigate the steady-state diffusion-approximation error for continuous-time queueing systems with generally distributed primitives. A common picture emerges after analyzing a number of canonical systems: the error decomposes into interior and boundary terms. The former are simpler to handle and can be bounded usi...

Anton Braverman, Ziv Scully · 0 citations

A partially time-changed Aït-Sahalia model: well-posedness and moment bounds

A partially time-changed Aït-Sahalia model is proposed, where the driving noise is a sub-diffusion process, also known as a time-changed Brownian motion. We prove that the model admits a unique global positive solution and establish positive and negative moment bounds. Finally, a truncated Euler–Maruyama discretization...

Qiuyun Shu, Ruchun Zuo · 0 citations
#diffusion models Open access Sep 2026

PEAL: PyTorch Explain and Adapt Library

PEAL is a PyTorch library for generating visual counterfactual explanations and for correcting classifiers and foundation-model probes with them. It contains the official implementations of Smoothed Counterfactual Explorer (SCE), Counterfactual Knowledge Distillation (CFKD) and Disentangled Diffusion Autoencoders (DiDA...

Sidney Bender, Benedikt Kunz, Ahmed Zeid · 0 citations
#diffusion models Open access Sep 2026

PEAL: PyTorch Explain and Adapt Library

PEAL is a PyTorch library for generating visual counterfactual explanations and for correcting classifiers and foundation-model probes with them. It contains the official implementations of Smoothed Counterfactual Explorer (SCE), Counterfactual Knowledge Distillation (CFKD) and Disentangled Diffusion Autoencoders (DiDA...

Sidney Bender, Benedikt Kunz, Ahmed Zeid · 0 citations
#graph neural networks Open access Sep 2026

Biomaterials Explained: Materials, Implants & Biomedical Engineering Applications

This academic curriculum module delivers an analytical, biophysical, and computational exposition of biomaterials science, tissue engineering scaffolds, biocompatibility evaluation, degradation kinetics, and medical device materials engineering. Key Technical Topics & Curricular Areas Covered:1. Core Material Classes &...

Prep4Uni.Online · 0 citations

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