v0.4.2 documents CALIBRATED_EIGENBASIS as an experimental SpectralQuant-inspired FDE/LSH adaptation, adds explicit SpectralQuant attribution, and calls out the main Eigenbasis reconstruction-risk ...
Version Info: (please note: this package is still in a development state with frequent modifications) please check the release notes. Typical usage of the basic MagPy package for reading and ...
Contributed by Boris I. Shraiman, January 6, 2016 (sent for review September 29, 2015; reviewed by Daniel S. Fisher and Katia Koelle) Humans mount an antibody-mediated immune response against ...
This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2020. Interest in logics with some notion of real-valued truths has ...
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
An essential role of the hippocampal region is to integrate information to compute and update representations. How this transpires is highly debated. Many theories hinge on the integration of ...
16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may ...
$$f^{j} \left( \nu {\left( k \right)} \right) = \mathop \sum \limits_{n = 0}^{N - 1} x_{n}^{j} \left( {t\left( n \right)} \right)e^{{ - 2\pi i\frac{kn}{N ...
The connectivity structure of neuronal networks in cortex is highly dynamic. This ongoing cortical rewiring is assumed to serve important functions for learning and memory. We analyze in this article ...
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