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Found 5 papers, 0 papers with code
Embed-Search-Align: DNA Sequence Alignment using Transformer Models
In this framework, a novel encoder model DNA-ESA generates representations of reads and fragments of the reference, which are projected into a shared vector space where the read-fragment distance is used as surrogate for alignment.
Information geometric bound on general chemical reaction networks
We investigate the dynamics of chemical reaction networks (CRNs) with the goal of deriving an upper bound on their reaction rates.
Quantum Approximation of Normalized Schatten Norms and Applications to Learning
Efficient measures to determine similarity of quantum states, such as the fidelity metric, have been widely studied.
Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST
Unlike areas such as computer vision and speech recognition where convolutional and recurrent neural networks-based approaches have proven effective to the nature of the respective areas of application, deep learning (DL) still lacks a general approach suitable for the unique nature and challenges of RF systems such as radar, signals intelligence, electronic warfare, and communications.
Machine Learning Approach to RF Transmitter Identification
We discuss strategies for extension of MST to a much larger number of transmitters.
