Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li, | Summary: Bug localization, which is used to help programmers identify the location of bugs in source code, is an essential task in software development. Researchers have already made efforts to harness the powerful deep learning (DL) techniques to […]
Kavli Affiliate: Liam Paninski | Authors: Marcus A Triplett, Marta Gajowa, Hillel Adesnik and Liam Paninski | Summary: Two-photon optogenetics has transformed our ability to probe the structure and function of neural circuits. However, achieving precise optogenetic control of neural ensemble activity has remained fundamentally constrained by the problem of off-target stimulation (OTS): the inadvertent […]
Kavli Affiliate: Hey-Kyoung Lee, Richard Huganir | Authors: Yoichi Araki, Elizabeth E. Gerber, Kacey E. Rajkovich, Ingie Hong, Richard C. Johnson, Hey-Kyoung Lee, Alfredo Kirkwood and Richard L. Huganir | Summary: SYNGAP1 is a Ras-GTPase activating protein highly enriched at excitatory synapses in the brain. De novo loss-of-function mutations in SYNGAP1 are a major cause […]
Kavli Affiliate: Roger Nicoll | Authors: Michael A. Bemben, Matthew A. Sandoval, Aliza A. Le, Sehoon Won, Vivian N Chau, Julie C. Lauterborn, Salvatore Incontro, Kathy H. Li, Alma L. Burlingame, Katherine W. Roche, Christine M. Gall, Roger A. Nicoll and Javier Diaz-Alonso | Summary: Neurodevelopmental disorders are frequently linked to mutations in synaptic organizing […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen | Summary: Graph convolutional networks (GCNs) are emph{discriminative models} that directly model the class posterior $p(y|mathbf{x})$ for semi-supervised classification of graph data. While being effective, as a representation learning approach, the node representations extracted from a GCN often miss […]
Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Enia Xhakaj, Alexie Leauthaud, Johannes Lange, Elisabeth Krause, Andrew Hearin | Summary: We propose that observations of super-massive galaxies contain cosmological constraining power similar to conventional cluster cosmology, and we provide promising indications that the associated systematic errors are comparably easier to control. We consider a […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zhen Cao, F. Aharonian, Q. An, Axikegu, Y. X. Bai | Summary: We present the first catalog of very-high energy and ultra-high energy gamma-ray sources detected by the Large High Altitude Air Shower Observatory (LHAASO). The catalog was compiled using 508 days of data collected by […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zhen Cao, F. Aharonian, Q. An, Axikegu, Y. X. Bai | Summary: We present the first catalog of very-high energy and ultra-high energy gamma-ray sources detected by the Large High Altitude Air Shower Observatory (LHAASO). The catalog was compiled using 508 days of data collected by […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zhen Cao, F. Aharonian, Q. An, Axikegu, Y. X. Bai | Summary: We present the first catalog of very-high energy and ultra-high energy $gamma$-ray sources detected by the Large High Altitude Air Shower Observatory (LHAASO), using 508 days of data collected by the Water Cherenkov Detector […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Samuele Ferracin, Akel Hashim, Arnaud Carignan-Dugas, John Mark Kreikebaum | Summary: Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits are typically afflicted by more […]