Abstract: Piecewise linear neural networks (PLNNs) are proven universal approximators for continuous functions on the compact domain. For multiple PLNNs (mPLNNs) differing from each other in suffering ...
Abstract: We study a general setting of status updating systems in which a set of source nodes provide status updates about some physical process(es) to a set of monitors. The freshness of information ...
Quantum state diffusion framework makes it possible to characterize quantum measurement in terms of entropy production ...
Discover how continuous contracts in reinsurance work, their benefits, and how they differ from standard contracts without ...
Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
This is the author's unofficial PyTorch implementation. We study Conditional Image Repainting (CIR) to lower the skill barriers of image editing techniques. Conditional content generation refers to ...
A list of over 60 metrics, statistical techniques and data processing tools contained in scores is available here. scores is a Python package containing mathematical functions for the verification, ...
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