CRISPR activation rescues abnormalities in SCN2A haploinsufficiency-associated autism spectrum disorder

Kavli Affiliate: Kevin Bender, Jeanne Tamar Paz | Authors: Serena Tamura, Andrew D Nelson, Perry WE Spratt, Henry Kyoung, Xujia Zhou, Zizheng Li, Jingjing Zhao, Stephanie S Holden, Atehsa Sahagun, Caroline M Keeshen, Congyi Lu, Elizabeth C Hamada, Roy Ben-Shalom, Jen Q Pan, Jeanne T Paz, Stephan J Sanders, Navneet Matharu, Nadav Ahituv and Kevin […]


Continue.. CRISPR activation rescues abnormalities in SCN2A haploinsufficiency-associated autism spectrum disorder

The Andromeda Gamma-Ray Excess: Background Systematics of the Millisecond Pulsars and Dark Matter Interpretations

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Fabian Zimmer, Oscar Macias, Shin’ichiro Ando, Roland M. Crocker, Shunsaku Horiuchi | Summary: Since the discovery of an excess in gamma rays in the direction of M31, its cause has been unclear. Published interpretations focus on a dark matter or stellar related origin. Studies of a similar […]


Continue.. The Andromeda Gamma-Ray Excess: Background Systematics of the Millisecond Pulsars and Dark Matter Interpretations

KilonovaNet: Surrogate Models of Kilonova Spectra with Conditional Variational Autoencoders

Kavli Affiliate: Brian Nord | First 5 Authors: Kamilė Lukošiūtė, Geert Raaijmakers, Zoheyr Doctor, Marcelle Soares-Santos, Brian Nord | Summary: Detailed radiative transfer simulations of kilonova spectra play an essential role in multimessenger astrophysics. Using the simulation results in parameter inference studies requires building a surrogate model from the simulation outputs to use in algorithms […]


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i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems

Kavli Affiliate: Ke Wang | First 5 Authors: Yao Yao, Bin Liu, Haoxun He, Dakui Sheng, Ke Wang | Summary: Input features play a crucial role in the predictive performance of DNN-based industrial recommender systems with thousands of categorical and continuous fields from users, items, contexts, and their interactions. Noisy features and inappropriate embedding dimension […]


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An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Wenjie Xuan, Yuhang Gan, Juhua Liu, Bo Du | Summary: Existing deep learning-based change detection methods try to elaborately design complicated neural networks with powerful feature representations, but ignore the universal domain shift induced by time-varying land cover changes, including luminance fluctuations and season changes […]


Continue.. An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection