activity
20022026
most citedA broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

145 citations · 716 across the 67 of their papers we have counts for

collaborators

71 papers

astro-ph.SR2026

Ensemble pulsational characteristics of eclipsing binaries containing Cep stars observed by the TESS mission

C. I. Eze, G. Handler, M. Vanrespaille +4

Massive pulsators in eclipsing binaries provide precise, model-independent stellar parameters that, combined with asteroseismic constraints, provide powerful probes of interior pro…

stat.ME2026

Doubly robust target inference for generalized linear regression with completely missing covariates

Huali Zhao, Ke Deng

Large-scale multipurpose cohort studies and biobanks often omit covariates needed for specific downstream analyses. We study target-population inference for generalized linear regr…

astro-ph.HE2026

Euclid: Quick Data Release (Q1) -- Optical hotspots in powerful radio galaxies

M. J. Hardcastle, L. Bisigello, M. Bondi +154

The hotspots of powerful radio galaxies are the sites of high-energy particle acceleration, but radio observations give us limited information on the electron energy distributions…

cs.LG2026

Semi-Tensor Product-Based Multi-Term Randomized T-SVD and Its Visual Applications

Xingchen Xiao, Feng Zhang, Wenjin Qin +1

Tensor singular value decomposition (T-SVD), which is built upon the tensor-tensor product (t-product), has emerged as a powerful tool for processing high-dimensional visual data s…

cs.CR2026

Toward Quantum Advantage in Learning Parities with Structured Noise via Lower Bound Optimization of the Condition Number

Yusen Han, Xuelian Li, Juntao Gao +1

Learning Parities with Structured Noise (LPSN) can be reduced to solving nonlinear Boolean systems. In quantum computing, such systems are typically transformed into Macaulay linea…

stat.AP2026

Small Area Estimation under Spatial Regimes: Spatially Clustered Fay-Herriot Models for Agricultural Indicators

Paolo Maranzano, Raffaele Mattera, Shonosuke Sugasawa

Area-level small area estimation (SAE) models, such as the Fay--Herriot (FH) model, borrow strength across domains through covariates and random effects, but they can struggle when…