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The search for extrasolar planets has driven rapid advances in instrumentation, resulting in cameras such as SPHERE at the VLT, GPI at Gemini South and SCExAO at Subaru, capable of achieving very high contrast ($\sim10^{6}$) around bright…

Solar and Stellar Astrophysics · Physics 2020-03-18 P. Scicluna , F. Kemper , R. Siebenmorgen , R. Wesson , J. A. D. L. Blommaert , S. Wolf

Diffusion model is the most advanced method in image generation and has been successfully applied to MRI reconstruction. However, the existing methods do not consider the characteristics of multi-coil acquisition of MRI data. Therefore, we…

Image and Video Processing · Electrical Eng. & Systems 2022-12-23 Chentao Cao , Zhuo-Xu Cui , Jing Cheng , Sen Jia , Hairong Zheng , Dong Liang , Yanjie Zhu

Variational inference often struggles with the posterior geometry exhibited by complex hierarchical Bayesian models. Recent advances in flow-based variational families and Variationally Inferred Parameters (VIP) each address aspects of this…

Machine Learning · Computer Science 2025-11-06 Joohwan Ko , Justin Domke

We present a collection of WISE photometry of EXor sources and candidates (more recently identified). This represents the first complete survey of such objects in the mid-IR (3.4 - 22 um) that was carried out with the same instrumentation.…

Solar and Stellar Astrophysics · Physics 2015-06-11 Simone Antoniucci , Teresa Giannini , Dario Lorenzetti

Mixed-Integer Linear Programs (MIPs) are powerful and flexible tools for modeling a wide range of real-world combinatorial optimization problems. Predict-and-Search methods operate by using a predictive model to estimate promising variable…

Artificial Intelligence · Computer Science 2026-04-21 Junyang Cai , El Mehdi Er Raqabi , Pascal Van Hentenryck , Bistra Dilkina

We consider the problem of drawing samples from posterior distributions formed under a Dirichlet prior and a truncated multinomial likelihood, by which we mean a Multinomial likelihood function where we condition on one or more counts being…

Methodology · Statistics 2012-09-04 Matthew James Johnson , Alan S. Willsky

Modern research in the life sciences is unthinkable without computational methods for extracting, quantifying and visualizing information derived from biological microscopy imaging data. In the past decade, we observed a dramatic increase…

The production of photometric light curves from astronomical images is a very time-consuming task. Larger data sets improve the resolution of the light curve, however, the time requirement scales with data volume. The data analysis is often…

Instrumentation and Methods for Astrophysics · Physics 2014-01-15 M. Todd , H. U. Wallon Pizarro , P. Tanga , D. M. Coward , M. G. Zadnik

The detection of exoplanets in coronographic images is severely limited by residual starlight speckles. Dedicated post-processing can drastically reduce this "stellar leakage" and thereby increase the faintness of detectable exoplanets.…

Instrumentation and Methods for Astrophysics · Physics 2017-11-08 Nicholas Devaney , Éric Thiébaut

Astronomical data generally consists of 2 or more high-resolution axes, e.g., X,Y position on the sky or wavelength and position-along-one-axis (long-slit spectrometer). Analyzing these multi-dimension observations requires combining 3D…

Instrumentation and Methods for Astrophysics · Physics 2009-02-11 Daniel Dewey , Michael S. Noble

In this paper, we argue that database systems be augmented with an automated data exploration service that methodically steers users through the data in a meaningful way. Such an automated system is crucial for deriving insights from…

Databases · Computer Science 2015-11-02 Kyriaki Dimitriadou , Olga Papaemmanouil , Yanlei Diao

Solving high-dimensional Bayesian inverse problems (BIPs) with the variational inference (VI) method is promising but still challenging. The main difficulties arise from two aspects. First, VI methods approximate the posterior distribution…

Numerical Analysis · Mathematics 2023-02-23 Yingzhi Xia , Qifeng Liao , Jinglai Li

Resonant inelastic x-ray scattering (RIXS) has become a very powerful experimental technique to probe a broad range of intrinsic elementary excitations, for example, from low energy phonons and (bi-)magnons to high energy $d$-$d$,…

Strongly Correlated Electrons · Physics 2019-06-20 Y. L. Wang , G. Fabbris , M. P. M. Dean , G. Kotliar

We present a new technique to measure multi-wavelength "Super-deblended" photometry from highly confused images, which we apply to Herschel and ground-based far-infrared (FIR) and (sub-)millimeter (mm) data in the northern field of the…

Photometric instruments operating at far infrared to millimetre wavelengths often have broad spectral passbands (central wavelength/bandwidth ~ 3 or less), especially those operating in space. A broad passband can result in significant…

In the era of the James Webb Space Telescope (JWST), the dramatic improvement in the spectra of exoplanetary atmospheres demands a corresponding leap forward in our ability to analyze them: atmospheric retrievals need to be performed on…

Earth and Planetary Astrophysics · Physics 2025-05-06 Anna Lueber , Konstantin Karchev , Chloe Fisher , Matthias Heim , Roberto Trotta , Kevin Heng

This paper proposes two new open-source iris recognition algorithms, providing both Python and IREX-compliant C++ implementations to be submitted to the official IREX X program. This work has two primary goals: (a) to conduct the first-ever…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Siamul Karim Khan , Patrick J. Flynn , Adam Czajka

We present multimodal-prior-guided importance sampling as the central mechanism for hierarchical 3D Gaussian Splatting (3DGS) in sparse-view novel view synthesis. Our sampler fuses complementary cues { -- } photometric rendering residuals,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Kaiqiang Xiong , Zhanke Wang , Ronggang Wang

Accurate near-real-time precipitation retrieval has been enhanced by satellite-based technologies. However, infrared-based algorithms have low accuracy due to weak relations with surface precipitation, whereas passive microwave and…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Zheng Wang , Kai Ying , Bin Xu , Chunjiao Wang , Cong Bai