Large-Format, Transmission-Line-Coupled Kinetic Inductance Detector Arrays for HEP at Millimeter Wavelengths

Kavli Affiliate: Sunil Golwala | First 5 Authors: Peter S. Barry, Clarence. C. Chang, Sunil Golwala, Erik Shirokoff, | Summary: The kinetic inductance detector (KID) is a versatile and scalable detector technology with a wide range of applications. These superconducting detectors offer significant advantages: simple and robust fabrication, intrinsic multiplexing that will allow thousands of […]


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Widely-tunable optical parametric oscillator in lithium niobate nanophotonics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Luis Ledezma, Arkadev Roy, Luis Costa, Ryoto Sekine, Robert Gray | Summary: Widely-tunable coherent sources in nanophotonics are desirable for a multitude of applications ranging from communications to sensing. The mid-infrared spectral region (wavelengths beyond 2 $mu$m) is particularly important because of applications related to molecular spectroscopy. […]


Continue.. Widely-tunable optical parametric oscillator in lithium niobate nanophotonics

Widely-tunable optical parametric oscillator in lithium niobate nanophotonics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Luis Ledezma, Arkadev Roy, Luis Costa, Ryoto Sekine, Robert Gray | Summary: Widely-tunable coherent sources in nanophotonics are desirable for a multitude of applications ranging from communications to sensing. The mid-infrared spectral region (wavelengths beyond 2 $mu$m) is particularly important for applications relying on molecular spectroscopy. Among […]


Continue.. Widely-tunable optical parametric oscillator in lithium niobate nanophotonics

Octave-spanning tunable parametric oscillation in nanophotonics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Luis Ledezma, Arkadev Roy, Luis Costa, Ryoto Sekine, Robert Gray | Summary: Widely-tunable coherent sources are desirable in nanophotonics for a multitude of applications ranging from communications to sensing. The mid-infrared spectral region (wavelengths beyond 2 $mu$m) is particularly important for applications relying on molecular spectroscopy. Among […]


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Mid-Air Helicopter Delivery at Mars Using a Jetpack

Kavli Affiliate: Morteza Gharib | First 5 Authors: Jeff Delaune, Jacob Izraelevitz, Samuel Sirlin, David Sternberg, Louis Giersch | Summary: Mid-Air Helicopter Delivery (MAHD) is a new Entry, Descent and Landing (EDL) architecture to enable in situ mobility for Mars science at lower cost than previous missions. It uses a jetpack to slow down a […]


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PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling

Kavli Affiliate: Wei Gao | First 5 Authors: Hao Liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao | Summary: We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently generate clean high frequency regions. The generator of […]


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Context-Hierarchy Inverse Reinforcement Learning

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, David Hsu, Wee Sun Lee, , | Summary: An inverse reinforcement learning (IRL) agent learns to act intelligently by observing expert demonstrations and learning the expert’s underlying reward function. Although learning the reward functions from demonstrations has achieved great success in various tasks, several other […]


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DialMed: A Dataset for Dialogue-based Medication Recommendation

Kavli Affiliate: Wei Gao | First 5 Authors: Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen | Summary: Medication recommendation is a crucial task for intelligent healthcare systems. Previous studies mainly recommend medications with electronic health records(EHRs). However, some details of interactions between doctors and patients may be ignored in EHRs, which are […]


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OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu | Summary: In point cloud compression, sufficient contexts are significant for modeling the point cloud distribution. However, the contexts gathered by the previous voxel-based methods decrease when handling sparse point clouds. To address this problem, we propose […]


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