In this work, we provide a systematic study to the prevailing ResNet architecture by showing a connection from a general deeply-fused net view to ensembling. Our empirical results uncover that the ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Existing simulation tools for structural variants (SV) offer limited options, some do not simulate single-nucleotide variants (SNV), and all need external programs to generate simulated sequence reads ...

We connected with Florian Winkler to learn how he created such an elegant and informative map that invites exploration.

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...