diffusion models

Permission as a Variable: Why the same robot pays off in one plant and fails in another

Projects that install the same robot model report labor-productivity gains an order of magnitude apart. Studies of robot adoption stop at the firm or the plant, so the gap between two plants with the same robot sits below the level they measure. Engineering studies stop at the machine. The missing variable sits between...

A Grid of Contribution Functions to Help the Interpretation of Time-resolved Observations of Brown Dwarfs

Abstract We present a grid of thermal emission contribution functions and their corresponding atmospheric spectra model for cloudy and cloud-free brown dwarfs, spanning effective temperatures T eff ∈ [500, 2000][K], surface gravities log g = [ 3.5 , 5.5 ] [cgs], sedimentation efficiencies f sed = 1, 2, 3, 4, and 8, and...

Code and records for "Passing NPCR Without Diffusion: Exact Signatures, a Detection Benchmark and an Audit of Published Image Ciphers"

Version 2.0 adds the code, records and technical report behind the manuscript "Passing NPCR Without Diffusion: Exact Signatures, a Detection Benchmark and an Audit of Published Image Ciphers". Version 1.0 (the XCM-IC cipher, its test vectors, preregistrations, execution freeze, Tier A and battery records) is kept uncha...

Diffusion Transformers for Roof Graph Synthesis and Reconstruction

Quasiperiodic Eruptions from Recurrent Satellite Black Hole Transits through Magnetized Galactic Nucleus Accretion Disks

Abstract Quasiperiodic eruptions (QPEs) are recurrent soft X-ray flares from galactic nuclei, but their origin remains uncertain. The delayed ultraviolet (UV) counterpart detected in ZTF19acnskyy provides a new constraint on viable models. We present a two-channel model in which a satellite black hole (sBH) repeatedly...

Leveraging LiDAR Datasets to Improve SAR Tomography: a Diffusion Model Approach

Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors

EEG-BIDS dataset of cue-locked EEG recordings and event annotations from 43 neurotypical adults performing a random-dot kinematogram motion discrimination task. The task dissociates low-level priors (implicitly learned tone-motion contingencies) from high-level priors (a cover story about tinted glasses) against a neut...

Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and event-related potentials.

EEG dataset examining whether hypervigilance to social threats in lonely individuals can be dissociated from altered perceptual decision-making. Behavioral data were analysed with Drift Diffusion Modelling and neural responses with event-related potentials. The dataset accompanies a Psychophysiology article on loneline...

Sparsity‐Driven Source Localization in Tomographic Sensing Applications

ABSTRACT Hyperspectral standoff detection systems such as Focal Plane Array (FPA) Fourier Transform Infrared (FTIR) spectrometers provide high spatial resolution in detecting airborne chemical contaminants that are invisible to the human eye but potentially hazardous. When two such systems are operated simultaneously w...

Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo

Preliminary low-thrust spacecraft mission design is a global search problem characterized by a complex solution landscape, multiple objectives, and numerous local minima. During this phase, mission parameters are often not yet fully defined, requiring new solutions to be generated at a high cadence across varying param...

Data of all figures and codes employed to generate the theoretical data of "Anomalous diffusion and localization in a disorder-free atomic mixture".

Codes for the semiclassical simulations (solid lines in Figs. 2 and 3): 1) SemiClassicalSimulator.py2) SCSim_header.pyCode to evaluate the quantum diffusion constant (colormap in Fig 4d): DiffusionFromReturnProb.nbCodes for calculation of the mobility edge (white points in Fig. 4d): 1. grscalar.f: Computes eigenvalues...

CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation

Data obfuscation is a promising technique for mitigating attribute inference attacks by semi-trusted parties with access to time-series data emitted by sensors. Recent advances leverage conditional generative models together with adversarial training or mutual information-based regularization to balance data privacy an...