Many-Body Entanglement in Solid-State Emitters

Kavli Affiliate: Jordi Montana-Lopez | Summary:The preparation and control of quantum states lie at the heart of quantum information science (QIS). Recent advances in solid-state quantum emitters (QEs) and nanophotonics have transformed the landscape of quantum photonic technologies, enabling scalable generation of quantum states of light and matter. A new frontier in solid-state quantum photonics […]


Continue.. Many-Body Entanglement in Solid-State Emitters

SMoG: Schema Matching on Graph

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Schema matching is a critical task in data integration, particularly in the medical domain where disparate Electronic Health Record (EHR) systems must be aligned to standard models like OMOP CDM. While Large Language Models (LLMs) have shown promise in schema matching, they […]


Continue.. SMoG: Schema Matching on Graph

CostNav: A Navigation Benchmark for Cost-Aware Evaluation of Embodied Agents

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Existing navigation benchmarks focus on task success metrics while overlooking economic viability — critical for commercial deployment of autonomous delivery robots. We introduce emphCostNav, a textbfMicro-Navigation Economic Testbed that evaluates embodied agents through comprehensive cost-revenue analysis aligned with real-world business operations. CostNav […]


Continue.. CostNav: A Navigation Benchmark for Cost-Aware Evaluation of Embodied Agents

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Conditional diffusion models provide a natural framework for probabilistic prediction of dynamical systems and have been successfully applied to fluid dynamics and weather prediction. However, in many settings, the available information at a given time represents only a small fraction of what […]


Continue.. Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Source-Free Domain Adaptation (SFDA) aims to adapt a pre-trained source model to an unlabeled target domain without access to source data. Recent advances in Foundation Models (FMs) have introduced new opportunities for leveraging external semantic knowledge to guide SFDA. However, relying on […]


Continue.. Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation

A Catalog of Galactic Atomic Hydrogen Position-Position-Velocity Filaments

Kavli Affiliate: Susan Clark | Summary:We present a catalog of 3D Galactic HI filaments over 1/3 of the sky using Galactic Arecibo L-band Feed Array HI (GALFA-HI) data. The 3D filaments are defined to be linear HI features that are continuous in position-position-velocity (PPV) and are found with fil3d, an algorithm that expands on the […]


Continue.. A Catalog of Galactic Atomic Hydrogen Position-Position-Velocity Filaments

Deep X-ray observation of NGC 3221: everything everywhere all at once

Kavli Affiliate: Steven Allen | Summary:We present a comprehensive analysis of 475 ks (438 ks unpublished & 37 ks archival) XMM-Newton/EPIC-pn observation of a nearby, highly inclined, star-forming, luminous infrared galaxy NGC 3221 through spatial, temporal, and spectral information. We confirm the presence of a low-luminosity (presumably Compton-thick) AGN. The 0.4$-$12 keV luminosity and the […]


Continue.. Deep X-ray observation of NGC 3221: everything everywhere all at once

Residual Stress Anisotropy In Thin-Film Lithium Niobate For Stress-Managed MEMS

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:In this work, we present the first experimental study of residual stress and post-release beam deflection in 128-degree Y-cut thin-film lithium niobate (TFLN) on Si, revealing pronounced stress anisotropy with in-plane orientation. Using optical profilometry with curvature fitting, we extract the stress […]


Continue.. Residual Stress Anisotropy In Thin-Film Lithium Niobate For Stress-Managed MEMS

SVRecon: Sparse Voxel Rasterization for Surface Reconstruction

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:We extend the recently proposed sparse voxel rasterization paradigm to the task of high-fidelity surface reconstruction by integrating Signed Distance Function (SDF), named SVRecon. Unlike 3D Gaussians, sparse voxels are spatially disentangled from their neighbors and have sharp boundaries, which makes them […]


Continue.. SVRecon: Sparse Voxel Rasterization for Surface Reconstruction

Efficiently learning non-Markovian noise in many-body quantum simulators

Kavli Affiliate: Jordi Montana-Lopez | Summary:As quantum simulators are scaled up to larger system sizes and lower noise rates, non-Markovian noise channels are expected to become dominant. While provably efficient protocols for Markovian models of quantum simulators, either closed system models (described by a Hamiltonian) or open system models (described by a Lindbladian), have been […]


Continue.. Efficiently learning non-Markovian noise in many-body quantum simulators