Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

Kavli Affiliate: Jing Wang | First 5 Authors: Wonho Bae, Jing Wang, Danica J. Sutherland, , | Summary: Most meta-learning methods assume that the (very small) context set used to establish a new task at test time is passively provided. In some settings, however, it is feasible to actively select which points to label; the […]


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The Case of Transparent Cache Invalidation in Web Applications

Kavli Affiliate: Ke Wang | First 5 Authors: Yunhong Ji, Xuan Zhou, Yongluan Zhou, Ke Wang, | Summary: Application-level caches are widely adopted by web applications to minimize the response time of user requests as well as to reduce the burden on the system backend, such as the database servers. In the state of practice, […]


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Waveform Modelling for the Laser Interferometer Space Antenna

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay, Pau Amaro Seoane, Andrea Antonelli | Summary: LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will expand our view to the millihertz […]


Continue.. Waveform Modelling for the Laser Interferometer Space Antenna

Waveform Modelling for the Laser Interferometer Space Antenna

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay, Pau Amaro Seoane, Andrea Antonelli | Summary: LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will expand our view to the millihertz […]


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Brochosome-inspired binary metastructures for pixel-by-pixel thermal signature control

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Lin Wang, Xiu Liu, Jiayu Li, Hyeong Seok Yun | Summary: In nature, nano/micro-structured materials are adopted by various species to generate colors or achieve camouflage. Here, inspired by leafhopper-generated brochosomes, we design binary metastructures composed of pixel twins to achieve pixelated thermal signature control […]


Continue.. Brochosome-inspired binary metastructures for pixel-by-pixel thermal signature control

Brochosome-inspired binary metastructures for pixel-by-pixel thermal signature control

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Lin Wang, Xiu Liu, Jiayu Li, Hyeong Seok Yun | Summary: In nature, nano/micro-structured materials are adopted by various species to generate colors or achieve camouflage. Here, inspired by leafhopper-generated brochosomes, we design binary metastructures composed of pixel twins to achieve pixelated thermal signature control […]


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The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

Kavli Affiliate: Ke Wang | First 5 Authors: Chao Wang, Ke Wang, Feng-Wei Xu, Patricio Sanhueza, Hauyu Baobab Liu | Summary: Context. Traditionally, supersonic turbulence is considered to be one of the most likely mechanisms to slow down the gravitational collapse in dense clumps, thereby enabling the formation of massive stars. However, several recent studies […]


Continue.. The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

Kavli Affiliate: Ke Wang | First 5 Authors: Chao Wang, Ke Wang, Feng-Wei Xu, Patricio Sanhueza, Hauyu Baobab Liu | Summary: Context. Traditionally, supersonic turbulence is considered to be one of the most likely mechanisms to slow down the gravitational collapse in dense clumps, thereby enabling the formation of massive stars. However, several recent studies […]


Continue.. The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages

Large-scale Foundation Models and Generative AI for BigData Neuroscience

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Zhe Sage Chen, , , | Summary: Recent advances in machine learning have made revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery. Foundation models and large-scale language models (LLMs) have recently achieved human-like intelligence thanks to BigData. With the help […]


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Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun | Summary: Recent years have witnessed the success of introducing Transformers to time series forecasting. From a data generation perspective, we illustrate that existing Transformers are susceptible to distribution shifts driven by temporal contexts, whether observed or […]


Continue.. Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift