Kavli Affiliate: Xiang Zhang | First 5 Authors: Shijie Lin, Xiang Zhang, Lei Yang, Lei Yu, Bin Zhou | Summary: Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for object tracking, and text on road signs, to name a few, are prevalent in our daily lives and serve as a visual […]
Kavli Affiliate: Menno Witter | Authors: Katrine Sjaastad Hanssen, Nicolai Winter-Hjelm, Salome Nora Niethammer, Asgeir Kobro-Flatmoen, Menno P. Witter, Axel Sandvig and Ioanna Sandvig | Summary: Engineered biological neural networks are indispensable models for investigation of neural function and dysfunction from the subcellular to the network level. Notably, advanced neuro-engineering approaches are of significant interest […]
Kavli Affiliate: Rana Adhikari | First 5 Authors: Kartik Sheth, Kevin Govender, Vanessa McBride, Laura Trouille, Puji Irawati | Summary: Policy Brief on "Workforce Development in Astronomy and Astroinformatics", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astroinformatics for Sustainable Development held on 6-7 July 2023. The […]
Igor Palubski, Oren Slone, Manoj Kaplinghat, Mariangela Lisanti, Fangzhou Jiang | Summary: [[{“value”:”When dark matter has a large cross section for self scattering, halos can undergo a process known as gravothermal core collapse, where the inner core rapidly increases in density and temperature. To date, several methods have been used to implement Self-Interacting Dark Matter~(SIDM) […]
Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Rémy Portelas, Masataka Sawayama, Peter Ford Dominey, Pierre-Yves Oudeyer | Summary: The standard way to study Large Language Models (LLMs) with benchmarks or psychology questionnaires is to provide many different queries from similar minimal contexts (e.g. multiple choice questions). However, due to LLMs’ highly context-dependent […]
Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Rémy Portelas, Masataka Sawayama, Peter Ford Dominey, Pierre-Yves Oudeyer | Summary: The standard way to study Large Language Models (LLMs) with benchmarks or psychology questionnaires is to provide many different queries from similar minimal contexts (e.g. multiple choice questions). However, due to LLMs’ highly context-dependent […]
Kavli Affiliate: Peter Ford | First 5 Authors: Grgur Kovač, Rémy Portelas, Masataka Sawayama, Peter Ford Dominey, Pierre-Yves Oudeyer | Summary: The standard way to study Large Language Models (LLMs) through benchmarks or psychology questionnaires is to provide many different queries from similar minimal contexts (e.g. multiple choice questions). However, due to LLM’s highly context-dependent […]
Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Kentaro Kasai, Masahiro Kawasaki, Kai Murai, , | Summary: Sterile neutrino is a fascinating candidate for dark matter. In this paper, we examine the Affleck-Dine (AD) leptogenesis scenario generating a large lepton asymmetry, which can induce the resonant production of sterile neutrino dark matter via the Shi-Fuller […]
Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Kentaro Kasai, Masahiro Kawasaki, Kai Murai, , | Summary: Sterile neutrino is a fascinating candidate for dark matter. In this paper, we examine the Affleck-Dine (AD) leptogenesis scenario generating a large lepton asymmetry, which can induce the resonant production of sterile neutrino dark matter via the Shi-Fuller […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Hong Qiu, , | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose […]