Kavli Affiliate: Mohammad Mirhosseini | Summary:Thin films of disordered superconductors such as titanium nitride (TiN) exhibit large kinetic inductance (KI), high critical temperature, and large quality factors at the single-photon level. KI nonlinearity can be exploited as an alternative to Josephson junctions for creating novel nonlinear quantum devices with the potential to operate at higher […]
Kavli Affiliate: Brian Nord | First 5 Authors: Moonzarin Reza, Yuanyuan Zhang, Brian Nord, Jason Poh, Aleksandra Ciprijanovic | Summary: Inferring the values and uncertainties of cosmological parameters in a cosmology model is of paramount importance for modern cosmic observations. In this paper, we use the simulation-based inference (SBI) approach to estimate cosmological constraints from […]
Kavli Affiliate: Colin Espie | Summary:SleepioTM is a digital mobile phone and web platform that uses techniques from cognitive behavioural therapy (CBT) to improve sleep in people with sleep difficulty. As part of this process, Sleepio captures data about the sleep behaviour of the users that have consented to such data being processed. For neural […]
Kavli Affiliate: Carlos E. M. Wagner | First 5 Authors: Pavel Fileviez Perez, Andrea Pocar, K. S. Babu, Leah J. Broussard, Vincenzo Cirigliano | Summary: In this report we discuss the main theories to understand the origin of baryon and lepton number violation in physics beyond the Standard Model. We present the theoretical predictions for […]
Kavli Affiliate: Jing Wang | First 5 Authors: Yibo Shi, Yunying Ge, Jing Wang, Jue Mao, | Summary: Recently, learned video compression has drawn lots of attention and show a rapid development trend with promising results. However, the previous works still suffer from some criticial issues and have a performance gap with traditional compression standards […]
Kavli Affiliate: Jing Wang | First 5 Authors: Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang | Summary: In recent years, with the development of deep neural networks, end-to-end optimized image compression has made significant progress and exceeded the classic methods in terms of rate-distortion performance. However, most learning-based image compression methods are […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun | Summary: Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body. To address this problem, we propose a novel collision handling neural […]
Kavli Affiliate: Archana Raja| Summary:Electronic and optical excitations in two-dimensional moiré systems are uniquely sensitive to local atomic registries, leading to materials- and twist-angle specific correlated electronic ground states with varied degree of localization. However, there has been no direct experimental correlation between the sub-nanometer structure and emergent excitonic transitions, comprising tightly-bound pairs of photoexcited […]
Kavli Affiliate: James J. Bock | First 5 Authors: Yun-Ting Cheng, James J. Bock, , , | Summary: Several fluctuation studies on the near-infrared extragalactic background light (EBL) find an excess power at tens of arcminute scales ($ellsim10^3$). Emission from the intra-halo light (IHL) has been proposed as a possible explanation for the excess signal. […]
Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Xiao-Long Wang, Min Fang, Yu Gao, Hong-Xin Zhang, Gregory J. Herczeg | Summary: Identifying the young optically visible population in a star-forming region is essential for fully understanding the star formation event. In this paper, We identify 211 candidate members of the Perseus molecular cloud based […]