2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2025
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks
Sofia Ivolgina, P. Thomas Fletcher, Baba C. Vemuri
Batch normalization (BN) is a ubiquitous operation in deep neural networks, primarily used to improve stability and regularization during training. BN centers and scales feature ma…
cs.FL2025
A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition
Peter Fletcher
I introduce a formalism for representing the syntax of recursively structured graph-like patterns. It does not use production rules, like a conventional graph grammar, but represen…
cs.LG2020★ 2 cited
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua C. Chang, Patrick Fletcher, Jungmin Han +5
Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For…