diffusion models

Path convergence in diffusion models

Abstract We discuss diffusion-model paths interpolating between a target distribution known only through p patterns and a reference distribution that can be sampled. These interpolating paths can be constructed symmetrically or else in forward direction (often referred to as a "noising") from the target patterns to the...

aborek-abor/causaldiffchem: CausalDiffChem v2.0

Structural causal model + graph diffusion framework for network-corrective drug candidate generation across ten diseases

Conditional Latent Diffusion Model with Fourier-Based Motion Modelling for Virtual Population Synthesis

The Learnability Gap in Medical Latent Diffusion

Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-Based Optimization

MODEL DESCRIPTION, PARAMETRIC CONFIGURATIONS & ANALYSIS DATA: Linking Atmosphere-Only and Coupled Climate Simulations Through Perturbed Parameter Ensembles

Wave45 Parametric Configuration – IPSL-CM6.5.2 PPE Ensemble Publication associated with this dataset is currently under review in JAMES Linking Atmosphere-Only and Coupled Climate Simulations Through Perturbed Parameter Ensembles B. S. Ferster¹˒²†, J. Mignot², G. Gastineau², F. Hourdin³, M. Coulon–Decorzens³, J. Deshay...

PRISM: Differentiable Analysis-by-Synthesis for Fixel Recovery in Diffusion MRI

Deciphering Molecular Charge Anisotropy: The Case of Antibody Solutions

Electrostatic interactions fundamentally govern the structure, stability, and dynamics of charged (bio)matter, yet the impact of heterogeneous and anisotropic charge distributions on the behavior of protein solutions remains elusive. Here, we introduce a versatile multiscale framework that directly connects molecular-l...

Zero-Shot CT Super-Resolution Using Diffusion-Based 2D Projection Priors and Signed 3D Gaussians

Ensemble Score Filter with Image Inpainting for Data Assimilation in Tracking Surface Quasi-geostrophic Dynamics with Partial Observations

Abstract. Data assimilation plays a pivotal role in understanding and predicting turbulent systems within geoscience and weather forecasting, where data assimilation is used to address three fundamental challenges, i.e., high-dimensionality, nonlinearity, and partial observations. Recent advances in machine learning-ba...

Frameworks, Modeling and Simulations of Misinformation and Disinformation: A Systematic Literature Review

Misinformation and disinformation pose a significant challenge in today’s digital landscape. To examine how these phenomena are conceptualized and evaluated, this systematic literature review analyzes frameworks, models, and simulations used to represent mis/disinformation processes and dynamics. It covers 115 studies...

VDSB-GWSyn: Diffusion Schrödinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography