40 citations · 40 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 40 cited
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi +14
Strong empirical evidence that one machine-learning algorithm A outperforms another one B ideally calls for multiple trials optimizing the learning pipeline over sources of variati…
q-bio.GN2018
Towards the Latent Transcriptome
Assya Trofimov, Francis Dutil, Claude Perreault +3
In this work we propose a method to compute continuous embeddings for kmers from raw RNA-seq data, without the need for alignment to a reference genome. The approach uses an RNN to…