Planetary gas gaps and kinematic signatures in the planet forming disk around WISPIT 2

Posted by klaurent Peking

Kavli Affiliate: Ruobing Dong | Summary:The giant planet formation process in disks of gas and dust surrounding young stars is observationally still poorly constrained. Direct detection of protoplanets within the disk remains limited with current facilities. Indirect observational evidence of protoplanets through substructures or deviations from Keplerian rotation in the gas remains ambiguous in absence […]


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Efficient Conversion of Optical to Mechanical States Close to the Single-Quantum Level

Posted by klaurent Delft

Kavli Affiliate: Simon Groblacher | Summary:Coherent interfaces between optical photons and mechanical excitations provide a promising route towards phonon-state engineering and hybrid quantum information processing. Cavity optomechanical systems enable such interfaces via optomechanically induced transparency (OMIT), allowing coherent mapping between traveling optical fields and localized mechanical modes. However, previous implementations of OMIT conversion protocols were […]


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Learning CNN Filters via Generalized Stein’s Method

Posted by klaurent Peking

Kavli Affiliate: Feng Long| Summary: Convolutional Neural Networks (CNNs) have undoubtedly revolutionized image data analysis and the field of computer vision. As the cornerstone of CNNs, the convolution operation enables the networks to extract abstract features and uncover hidden relationships in the image data. This paper considers the problem of estimating convolution filters from a […]


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Scalable Bayesian Optimization of Composite Functions for Image-Based Inverse Problems in Materials Characterization

Posted by klaurent Cornell

Kavli Affiliate: David Muller | Summary:Estimating physical parameters from scientific images is a common inverse problem in materials characterization that often relies on expensive physics-based simulations. In electron microscopy, specimen thickness and crystal mistilt are critical parameters that govern how electrons scatter through the sample, and therefore the accuracy of any atomic-scale structure recovered from […]


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Resolving unconventional gap structure in kagome superconductors with hybrid microwave circuits

Posted by klaurent Cornell

Kavli Affiliate: Debanjan Chowdhury | Summary:Unconventional superconductivity is a hallmark of exotic quantum matter, where determining the pairing symmetry is essential for uncovering its microscopic origin. Kagome superconductors provide a fertile landscape for emergent phenomena arising from strong electronic correlations and nontrivial band topology, yet their superconducting pairing symmetry remains elusive. The superconducting gap structure […]


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Private Computation Space: Experience with Trusted Multi-Cluster Federated Learning for Agriculture

Posted by klaurent Cornell

Kavli Affiliate: Abraham Stroock | Summary:Artificial Intelligence has shown to help improve agricultural practices, yet adoption remains limited: 69% of U.S. farmers have privacy concerns with sharing their data, and these concerns must be addressed before adoption is widespread. While Federated Learning has been demonstrated to protect privacy at scale for other sectors, deploying a […]


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Conspicuous Gas, Cryptic Dust: Spectroscopy and Chromaticity of Complex Periodic Variables

Posted by klaurent Harvard

Kavli Affiliate: David Charbonneau | Summary:Complex periodic variables (CPVs) are young low-mass stars whose light curves show periodic dips indicative of transiting corotating material. The origin and composition of this material are unclear. Here we present new optical and near-infrared spectroscopy and photometry of four CPVs from Magellan, Keck, Hale, MuSCAT1, MuSCAT2, Tierras, KeplerCam, and […]


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When 3D Gaussian Splatting Recovers Real Surfaces

Posted by klaurent Chicago

Kavli Affiliate: David W. Miller | Summary:When does 3D Gaussian Splatting (3DGS) recover the true scene surface rather than just overfitting view-dependent appearance? We answer this by developing a mathematical framework based on a first-hit rendering abstraction that cleanly isolates geometry from appearance. We prove that geometric misalignment forcefully converts spatial textures into high-frequency angular […]


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Spatial-sign-based multilinear principal component analysis for tensor data

Posted by klaurent Peking

Kavli Affiliate: Feng Long| Summary: Multilinear principal component analysis (MPCA) reduces the dimension of tensor-valued data while preserving their mode-specific structure, but its quadratic scatter criterion can be unstable under heavy-tailed distributions and contamination. We propose spatial-sign-based multilinear principal component analysis (SMPCA), a robust dimension-reduction method that centers the observations by their spatial median, removes […]


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ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Value signals are aggregated user-level moral representations that capture users’ inferred value-related tendencies from their online discourse. User behavior on social media is shaped not only by what users say or whom they interact with, but also by the value signal through which they express attitudes. Existing user representation methods largely […]


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