Two-particle quantum interference in a nonlinear optical medium: a witness of timelike indistinguishability

Kavli Affiliate: Jing Wang | First 5 Authors: Chao Chen, Shu-Tian Xue, Yu-Peng Shi, Jing Wang, Zi-Mo Cheng | Summary: The Hong-Ou-Mandel effect is a paradigmatic quantum phenomenon demonstrating the interference of two indistinguishable photons that are linearly coupled at a 50:50 beam splitter. Here, we transpose such a two-particle quantum interference effect to the […]


Continue.. Two-particle quantum interference in a nonlinear optical medium: a witness of timelike indistinguishability

Learning Fused State Representations for Control from Multi-View Observations

Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]


Continue.. Learning Fused State Representations for Control from Multi-View Observations

Learning Fused State Representations for Control from Multi-View Observations

Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]


Continue.. Learning Fused State Representations for Control from Multi-View Observations

Learning Fused State Representations for Control from Multi-View Observations

Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]


Continue.. Learning Fused State Representations for Control from Multi-View Observations

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes

Kavli Affiliate: Lijing Shao | First 5 Authors: Yiming Dong, Ziming Wang, Hai-Tian Wang, Junjie Zhao, Lijing Shao | Summary: Gravitational-wave (GW) ringdown signals from black holes (BHs) encode crucial information about the gravitational dynamics in the strong-field regime, which offers unique insights into BH properties. In the future, the improving sensitivity of GW detectors […]


Continue.. A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes

Spectral Sufficient Conditions for Graph Factors

Kavli Affiliate: Ke Wang | First 5 Authors: Fengyun Ren, Shumin Zhang, Ke Wang, , | Summary: The ${K_{1,1}, K_{1,2},C_m: mgeq3}$-factor of a graph is a spanning subgraph whose each component is an element of ${K_{1,1}, K_{1,2},C_m: mgeq3}$. In this paper, through the graph spectral methods, we establish the lower bound of the signless Laplacian […]


Continue.. Spectral Sufficient Conditions for Graph Factors

A Spectroscopically Calibrated Prescription for Extracting PAH Flux from JWST MIRI Imaging

Kavli Affiliate: Claudio Ricci | First 5 Authors: Grant P. Donnelly, Thomas S. -Y. Lai, Lee Armus, Tanio Díaz-Santos, Kirsten L. Larson | Summary: We introduce a prescription for estimating the flux of the 7.7 micron and 11.3 micron polycyclic aromatic hydrocarbon (PAH) features from broadband JWST/MIRI images. Probing PAH flux with MIRI imaging data […]


Continue.. A Spectroscopically Calibrated Prescription for Extracting PAH Flux from JWST MIRI Imaging

Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

Kavli Affiliate: Jing Wang | First 5 Authors: Zixue Zeng, Xiaoyan Zhao, Matthew Cartier, Tong Yu, Jing Wang | Summary: We introduce a novel segmentation-aware joint training framework called generative reinforcement network (GRN) that integrates segmentation loss feedback to optimize both image generation and segmentation performance in a single stage. An image enhancement technique called […]


Continue.. Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

Kavli Affiliate: Claudio Ricci | First 5 Authors: Macon Magno, Krista L. Smith, O. Ivy Wong, Richard Mushotzky, Stuart Vogel | Summary: We present the third phase of the largest high-frequency, high-resolution imaging survey of 231 nearby, hard X-ray selected AGN, with a very high $98 pm 1%$ detection fraction. This survey presents VLA 22 […]


Continue.. BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN

Kavli Affiliate: Claudio Ricci | First 5 Authors: Macon Magno, Krista L. Smith, O. Ivy Wong, Richard Mushotzky, Stuart Vogel | Summary: We present the third phase of the largest high-frequency, high-resolution imaging survey of 231 nearby, hard X-ray selected AGN, with a very high $98 pm 1%$ detection fraction. This survey presents VLA 22 […]


Continue.. BASS XLVII: 22 GHz Radio Atlas of Swift-BAT Selected AGN