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Physics Preprint PDF DOI

One Coordinate at a Time: Convergence Guarantees for Rotosolve in Variational Quantum Algorithms

Sayantan Pramanik, M Girish Chandra ยท 2026

In this paper, we resolve an open question in the field of optimization algorithms for training parametrized quantum circuits: Does the popular Rotosolve algorithm converge? Until now, interpolation-bโ€ฆ

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Physics Preprint PDF DOI

Successful irradiation campaign on PRIMA/PRIMAger KIDs detectors with DRACuLA

Valentin Sauvage, Anais Besnard, Giulia Conenna, Kenichi Karatsu, Stephen J.C. Yates, Lorenza Ferrari, Bruno Maffei ยท 2026

DRACuLA (Detector irRAdiation Cryogenic faciLity for Astrophysics) is a mobile dilution refrigerator platform developed at the Institut d'Astrophysique Spatiale (IAS) to expose sub-Kelvin detectors toโ€ฆ

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AI & Data Science Preprint PDF DOI

Spatio-temporal modelling of electric vehicle charging demand

Kaoutar Bouaachra, Yvenn Amara-Ouali, Yannig Goude, Raphael Lachieze-Rey ยท 2026

Accurate forecasting of electric vehicle (EV) charging demand is critical for grid management and infrastructure planning. Yet the field continues to rely on legacy benchmarks; such as the Palo Alto (โ€ฆ

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AI & Data Science Preprint PDF DOI

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA

Denis Rustand, H{aa}vard Rue, Lisa Le Gall, Karen Leffondre ยท 2026

Joint models for longitudinal and time-to-event data are increasingly used in health research to characterize the association between biomarker trajectories and the risk of clinical events. However, tโ€ฆ

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Physics Preprint PDF DOI

In Situ Interferometric Spatial Mapping Of A Microwave Kinetic Inductance Detector Array

Chris Albert, Ritoban Basu Thakur, Farzad Faramarzi, Byeong Ho Eom, Sumit Dahal, Andrew Bear, Reinier Janssen, Henry LeDuc, Thomas Stevenson, Peter Day ยท 2026

We present a method of spatially mapping microwave kinetic inductance detector (MKID) arrays, in a dark setup. MKIDs are superconducting natively multiplexed resonators which enable kilopixel arrays, โ€ฆ

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Computer Science Preprint PDF DOI

PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong

Richard Wai Cheung Chan, Shanru Lin, Ya-nan Ma, Hao Chen, Liangjun Jiang, Wenqi Fan ยท 2026

To address the unsustainable rise in public health expenditures, the Hong Kong SAR Government is shifting its strategic focus to primary healthcare and encouraging citizens to use community resources โ€ฆ

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AI & Data Science Preprint PDF DOI

Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data

Debjoy Thakur ยท 2026

This research considers a scalable inference for spatial data modeled through Gaussian intrinsic conditional autoregressive (ICAR) structures. The classical estimation method, restricted maximum likelโ€ฆ

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AI & Data Science Preprint PDF DOI

Implementation and Workflows for INLA-Based Approximate Bayesian Structural Equation Modelling

Haziq Jamil, H{aa}vard Rue ยท 2026

Bayesian structural equation modelling (BSEM) offers many advantages such as principled uncertainty quantification, small-sample regularisation, and flexible model specification. However, the Markov cโ€ฆ

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Computer Science Preprint PDF DOI

Near-Optimal Bounds for Parameterized Euclidean k-means

Vincent Cohen-Addad, Karthik C. S., David Saulpic, Chris Schwiegelshohn ยท 2026

The $k$-means problem is a classic objective for modeling clustering in a metric space. Given a set of points in a metric space, the goal is to find $k$ representative points so as to minimize the sumโ€ฆ

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AI & Data Science Preprint PDF DOI

PyINLA: Fast Bayesian Inference for Latent Gaussian Models in Python

Esmail Abdul Fattah, Elias Krainski, Havard Rue ยท 2026

Bayesian inference often relies on Markov chain Monte Carlo (MCMC) methods, particularly required for non-Gaussian data families. When dealing with complex hierarchical models, the MCMC approach can bโ€ฆ

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AI & Data Science Preprint PDF DOI

Approximate Bayesian Inference for Structural Equation Models using Integrated Nested Laplace Approximations

Haziq Jamil, H{aa}vard Rue ยท 2026

Markov chain Monte Carlo (MCMC) methods remain the mainstay of Bayesian estimation of structural equation models (SEM), though they often incur a high computational cost. We present a bespoke approximโ€ฆ

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AI & Data Science Preprint PDF DOI

STAMP: A shot-type-aware areal multilevel Poisson model for league-wide comparison of basketball shot charts

Kazuhiro Yamada, Keisuke Fujii ยท 2026

Shooting location is a core indicator of offensive style in invasion sports. Existing basketball shot-chart analyses often use spatial information for descriptive visualization, location-based efficieโ€ฆ

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Physics Preprint PDF DOI

ATT12: The Antarctic 12-m Terahertz Telescope for Studies of Dusty Galaxies. I. Instrument Sensitivity and Science Forecasts

Koki Wakasugi, Takuya Hashimoto, Nario Kuno, Yu Nagai, Naomasa Nakai, Ken Mawatari, Masumichi Seta, Shun Ishii, Shunsuke Honda, Mana Ito, Hiroshi Matsuo, Makoto Nagai, Yuri Nishimura, Dragan Salak, Kazuo Sorai, Hidenobu Yajima ยท 2026

We present a feasibility study of the Antarctic 12m Terahertz Telescope (ATT12), a next-generation facility to be constructed at New Dome Fuji in Antarctica, designed to open up the FIR and THz windowโ€ฆ

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Mathematics Preprint PDF DOI

Topological Degree Methods for Age-Structured Epidemic Models

Luisa Malaguti, Stefania Perrotta ยท 2026

This paper is devoted to the study of an age-structured SIRS epidemic model, in which a population affected by a disease is divided into susceptible, infected, and removed individuals. We assume that โ€ฆ

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Physics Preprint PDF DOI

A Hot DOG Forged in FIRE: Nuclear and Starburst Spectral Decomposition of a Luminous Infrared Galaxy Simulation with a Resolved Dust Torus

Jaeden Bardati, Philip F. Hopkins, Claude-Andre Faucher-Giguere ยท 2026

Ultraluminous infrared galaxies are powered by a combination of rapid star formation and active galactic nucleus (AGN) emission, but their relative importance is not always observationally clear. We sโ€ฆ

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Computer Science Preprint PDF DOI

Can LLMs Synthesize Court-Ready Statistical Evidence? Evaluating AI-Assisted Sentencing Bias Analysis for California Racial Justice Act Claims

Aparna Komarla ยท 2026

Resentencing in California remains a complex legal challenge despite legislative reforms like the Racial Justice Act (2020), which allows defendants to challenge convictions based on statistical evideโ€ฆ

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AI & Data Science Preprint PDF DOI

LSR: Linguistic Safety Robustness Benchmark for Low-Resource West African Languages

Godwin Abuh Faruna ยท 2026

Safety alignment in large language models relies predominantly on English-language training data. When harmful intent is expressed in low-resource languages, refusal mechanisms that hold in English frโ€ฆ

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AI & Data Science Preprint PDF DOI

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM

Yiqing Wang, Chunming He, Ming-Chen Lu, Mercy Pawar, Leslie Niziol, Maria Woodward, Sina Farsiu ยท 2026

Medical diagnosis requires the effective synthesis of visual manifestations and clinical metadata. However, existing methods often treat metadata as isolated tags, failing to exploit the rich semanticโ€ฆ

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Physics Preprint PDF DOI

Ly{\alpha} forest bounds on sterile neutrino production via neutrino self-interactions

Priyank Parashari, Vera Gluscevic, Yue Zhang, Simeon Bird, Mikhail M. Ivanov, Adam He ยท 2026

Sterile neutrinos in the keV mass range have long been considered a well-motivated dark matter (DM) candidate. In this work, we explore a sterile neutrino production mechanism through active neutrino โ€ฆ

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AI & Data Science Preprint PDF DOI

A Bayesian regression framework for circular models with INLA

Xiang Ye, Janet Van Niekerk, Haavard Rue ยท 2026

Regression models for circular variables are less developed, since the concept of building a linear predictor from linear combinations of covariates and various random effects, breaks the circular natโ€ฆ

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