On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,236 papers · 148 categories

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11 results for “HDR”

Post-Transfer Learning Statistical Inference in High-Dimensional Regressionstat.ML

Paper introduces PTL-SI for statistical inference in TL-HDR, controlling FPR.

problem Quantifying statistical significance in TL-HDR with limited data.

method PTL-SI framework for valid

p

-values in TL-HDR feature selection.

result Valid

p

-values and controlled FPR in TL-HDR feature selection.

transfer learning high-dimensional regression statistical inference feature selection false positive rate

2025-04-25abs ↗pdf ↗

Reconstruction from Periodic Nonlinearities, With Applications to HDR Imagingstat.ML

New method reconstructs signals and images from periodic nonlinearities.

problem Reconstructing signals and images from periodic nonlinearities.

method Design of measurement scheme for efficient reconstruction, adaptable to compressive sensing.

result Effective reduction in measurement complexity for HDR imaging with minimal quality loss.

HDR imaging reconstruction periodic nonlinearity compressive sensing

2017-09-29abs ↗pdf ↗

Learning to Predict Indoor Illumination from a Single Imagecs.CV

Automatically infers high dynamic range illumination from a single indoor photo.

problem Predicting accurate indoor illumination from a single image.

method End-to-end deep neural network trained in three steps: lighting classifier, scene light localization, and fine-tuning for intensity prediction.

result Significantly outperforms previous methods in recovering high-quality HDR illumination.

indoor illumination deep learning HDR single image lighting prediction

2017-04-01abs ↗pdf ↗

Integrals over Gaussians under Linear Domain Constraintscs.LG

We solve hard Gaussian integrals efficiently using geometry and sampling.

problem Hard computation of integrals over linearly constrained Gaussian densities.

method Combines Holmes-Diaconis-Ross method with elliptical slice sampling adapted to linear settings.

result Direct computation of extremely small probability masses.

Gaussian integrals machine learning Bayesian optimization elliptical slice sampling geometry

2019-10-21abs ↗pdf ↗

Conformal Prediction for Compositional Datastat.ML

New methods for predicting compositional data using conformal prediction.

problem No well-established methods for constructing valid prediction sets in compositional data.

method Investigated three conformal prediction-based approaches for Dirichlet regression models.

result HDR approximation approach is robust in terms of coverage, while grid discretization reduces overcoverage.

conformal prediction compositional data Dirichlet regression sleep stages biomass allocation

2025-11-22abs ↗pdf ↗

Correlation scenarios and correlation stress testingq-fin.RM

Develops a method for stress testing correlations of financial portfolios.

problem Stress testing correlations in financial asset portfolios.

method Parametric representation of correlations, Bayesian variable selection, joint distribution of stress scenarios.

result Inference of worst-case correlation scenarios using stress tests.

correlation stress testing financial asset portfolios Bayesian variable selection risk factors Mahalanobis distance

2021-07-14abs ↗pdf ↗

A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imagingcs.CV

Bayesian hyperprior stabilizes image restoration for noisy and missing data.

problem Stability and adaptability in image restoration for noisy and missing data.

method Proposes a hyperprior approach to stabilize Bayesian image restoration.

result Effective restoration of high dynamic range images from a single sensor.

Bayesian hyperprior image restoration denoising interpolation HDR imaging

2017-06-10abs ↗pdf ↗

Open-plan Glare Evaluator (OGE): A Demonstration of a New Glare Prediction Approach Using Machine Learning Algorithmscs.LG

New ML approach predicts glare in open-plan offices with high accuracy.

problem Challenging to predict discomfort glare in open-plan offices.

method Used Machine Learning algorithms to predict glare.

result ML model achieved 83.8% accuracy in predicting glare.

glare prediction open-plan offices machine learning discomfort glare HDR images

2019-10-12abs ↗pdf ↗

Manifold Constrained Conformal Prediction for Spatial Eventsstat.ML

New method predicts spatial events like hurricanes and earthquakes with uncertainty.

problem Quantifying uncertainty in natural hazard predictions.

method Representing spatial point clouds as empirical measures, constraining prediction sets to spatial data manifold, using Wasserstein distance.

result Achieves near-nominal coverage and lower energy/manifold distances compared to baselines.

conformal prediction spatial events natural hazards tropical cyclones earthquakes

2026-07-10abs ↗pdf ↗

Conformal Bayes for Two-Sided Censored Gaussian Regression under Label Shiftstat.ME

Develops conformal Bayes for two-sided censored Gaussian regression under label shift.

problem Prediction under label shift with censored responses.

method Combines posterior predictive tilting with weighted conformal calibration.

result Restores marginal coverage with smaller prediction sets.

Bayesian prediction label shift censored data conformal inference Tobit model

2026-07-02abs ↗pdf ↗

Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systemscs.CE

The goal of this paper is to assess the utility of Reduced-Order Models (ROMs) developed from 3D physics-based models for predicting transient thermal power output for an enhanced geothermal reservoir while explicitly accounting for uncertainties in the subsurface system and site-specific details. Numerical simulations…

2016-06-14abs ↗pdf ↗