diffusion models

ProbNumDiffEq.jl: Probabilistic Numerical Solvers for Ordinary Differential Equations in Julia

ProbNumDiffEq v0.18.0 Diff since v0.17.1 Breaking changes ClassicSolverInit no longer has a default alg, and ProbNumDiffEq no longer depends on OrdinaryDiffEqVerner and OrdinaryDiffEqRosenbrock (#426). Pass an algorithm explicitly, e.g. ClassicSolverInit(AutoTsit5(Rosenbrock23())). DynamicMVDiffusion and a calibrated F...

Few-Shot Remote Sensing Scene Classification Leveraging Collaboration of Foundation Models

Foundation models have shown remarkable generalization ability for few-shot learning (FSL). However, their potential for remote sensing scene classification has not been fully explored. Existing methods mainly adapt a single vision–language model and seldom exploit the complementary strengths of different foundation mo...

Understanding the Role of Lithium Metal Microstructure in Chemo-Mechanical Instability of Solid-State Batteries

Abstract Increased energy density and safety relative to conventional lithium (Li)-ion batteries motivate the development of solid-state batteries (SSBs). However, maintaining interface stability at the metal anode–solid electrolyte (SE) interface remains a critical challenge to achieving practical areal capacities, es...

A structure-preserving diffusion model for point cloud upsampling

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMIT C-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMITC-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth Feng Cheng-en (33) x Starli When does growing a carbon chain create more system value than catalytic comple...

A dual-tower multimodal framework with feature quality enhancement for predicting pathological complete response after neoadjuvant chemotherapy in breast cancer: a multicenter study

BACKGROUND: Pathological complete response (pCR) is a key endpoint following neoadjuvant chemotherapy (NAC) in breast cancer, with potential to guide treatment adaptation and surgical de-escalation. However, limited generalizability across institutions remains a major challenge due to heterogeneous imaging protocols (s...

Socio-cognitive models in a patch foraging setting: a case study for model selection and parameter identifiability methods

The mechanisms by which organisms extract relevant information from complex sensory signals and use it for decision-making constitute a fundamental issue in biological and cognitive sciences. In social animal societies, individual decision-making is profoundly shaped by information provided by conspecifics. Collective...

Illustrated Atlas. From Triangle to Form. Bailey & UMF.

This 76-page illustrated atlas explores relational organisation and the emergence of form across Indian subtle-body traditions, theosophy, Alice A. Bailey’s esoteric cosmology, and the Universal Model Framework (UMF). Combining 22 illustrations with annotated diagrams and comparison tables, it examines chakras, nāḍīs,...

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...

The mesencephalic locomotor region shapes decision-making during movement - Dataset and Code for Shin et al 2026

Shin et al. 2026 v2.0 — Revised release Data and analysis code accompanying the revised manuscript: The mesencephalic locomotor region shapes decision-making during movementWooyeon Shin, Juri Kim, Dajung Jung, Yunjae Kim, Se-Bum Paik, Jeongjin Kim. Nature Communications (under revision). AbstractDecision-making during...

Boltzmann Dynamics in K-essence Cosmology: Photon Propagation in an Emergent Spacetime

Abstract Recent cosmological tensions, notably the Hubble and $S_{8}$ tensions, motivate extensions of the conventional FLRW framework in which additional dynamical fields can alter the effective spacetime experienced by matter and radiation. In K-essence cosmology, the scalar field induces an emergent FLRW geometry di...

Unsupervised deep generative models for anomaly detection in neuroimaging: A systematic scoping review

Unsupervised anomaly detection (UAD) based on deep generative modelling has been increasingly investigated for identifying pathological brain abnormalities without requiring voxel-level annotations. By learning the distribution of healthy anatomy and generating pseudo-healthy reconstructions, these methods aim to local...