diffusion models

Datasets associated with "Generating Structural Ensembles of Disordered Proteins with Diffusion Models"

Lithium isotope perspective for mélange diapir melting beneath the Ryukyu arc

A long-standing debate concerns whether arc magmas are generated by melting of a slab- metasomatized mantle wedge or by direct melting and dehydration of mélange diapirs. This study focused on the Ryukyu subduction zone, where new Li isotope measurements of subducting sediments reveal a transition from lighter Li isoto...

Neural Racing Accumulator Model Estimation With Lightweight Monotonic Flows

Race models describe speeded decision-making as a race between competing runners that accumulate evidence in favor of available choice options. Their parameters can be estimated through the model likelihood that combines the probability and cumulative density functions of each runner. However, estimating parameters of...

A perturbed threefold saddle-point formulation yielding new mixed finite element methods for poroelasticity with reduced symmetry

We propose and analyze new mixed finite element methods for the linear poroelasticity problem, which models the coupled phenomena of fluid diffusion and solid deformation. The formulation is based on the introduction of the vorticity and the strain tensor as auxiliary unknowns, which makes it possible to eliminate t...

Emerging Technology Adoption in Cambodian Military Higher Education: An Extended UTAUT-2 Study

Modernizing the education and training systems of the Royal Cambodian Armed Forces (RCAF) is essential for enhancing national defense capabilities and operational readiness amidst the evolving regional and international security landscape. This research analyzes the key factors influencing modernization efforts within...

Diff-SPORT: Diffusion-based sensor placement optimization and reconstruction of turbulent flows in urban environments

Public release of Diff-SPORT, the code accompanying the paper Diffusion-based sensor placement optimization and reconstruction of turbulent flows in urban environments A. Vishwasrao, S. B. C. Gutha, A. Cremades, K. Wijk, A. Patil, H. D. Lim, C. Vanderwel, C. Gorle, B. J. McKeon, H. Azizpour, R. Vinuesa Preprint: arXiv:...

tlm-certified-bounds: certified transmission-line-matrix bounds for elliptic and eddy-current field problems

Reference implementation accompanying the paper A Certified Transmission-Line-Matrix Method for Elliptic Field Problems, and Why the Certificate Fails on Approximated Geometry. The code realises a Prager-Synge complementary pair with the two dual TLM diffusion networks, so that a passive scattering solver returns a gua...

Deciding with muscles

Sequential sampling models have a rich tradition in psychology and play a central role in our understanding of human decision-making. According to these models, decisions arise from the gradual accumulation of noisy evidence over time until a decision threshold is reached. This framework accounts for both choice behavi...

1970-1975: Comparative respiratory physiology and the Göttingen models

e^−2 Threshold for Bistability in Non-equilibrium Sorting of Biomolecular Condensates

Cells use ATP-driven chaperones to extract clients from biomolecular condensates selectively, yet no closed-form criterion links molecular parameters to condensate quality control. We derive a minimal non-equilibrium sorting reactor model that reduces the reaction-diffusion dynamics to one algebraic equation. In the id...

Machine learning prediction of chloride convection-zone depth in marine tidal concrete with model explainability and experimental validation

Reliable prediction of chloride convection-zone depth is important for service-life assessment of tidal-zone concrete, but most data-driven chloride studies focus on surface concentration or diffusion-related indicators. This study proposes a data-driven prediction and explainability framework for chloride convection-z...

AXIOM: Parameter-Efficient Cultural Alignment of Latent Diffusion Models Under Strict 4GB Edge Constraints

Foundational text-to-image latent diffusion architectures operate with systemic geographic and demographic blind spots. Pre-trained predominantly on Western and East Asian web-scale corpuses, these models default to homogenized, inaccurate stereotypes when prompted for the Global South. This paper presents the architec...