A machine learning-based service for estimating quality of genomes using PATRIC. - Bruce D. Parrello; Rory Butler; Philippe Chlenski; Robert Olson; Jamie C. Overbeek; Gordon D. Pusch; Veronika Vonstein; Ross A. Overbeek (BMC Bioinform., 2019)

The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities. - James J. Davis 002; Alice R. Wattam; Ramy K. Aziz; Thomas S. Brettin; Ralph Butler; Rory Butler; Philippe Chlenski; Neal Conrad; Allan Dickerman; Emily M. Dietrich; Joseph L. Gabbard; Svetlana Gerdes; et al. (Nucleic Acids Res., 2020)

Fast Hyperboloid Decision Tree Algorithms. - Philippe Chlenski; Ethan Turok; Antonio Khalil Moretti; Itsik Pe'er (ICLR, 2024)

Transcoders find interpretable LLM feature circuits. - Jacob Dunefsky; Philippe Chlenski; Neel Nanda (NeurIPS, 2024)

Mixed-curvature decision trees and random forests. - Philippe Chlenski; Quentin Chu; Raiyan R. Khan; Antonio Khalil Moretti; Itsik Pe'er (CoRR, 2024)

Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics. - Hanming Yang; Antonio Khalil Moretti; Sebastian Macaluso; Philippe Chlenski; Christian A. Naesseth; Itsik Pe'er (Trans. Mach. Learn. Res., 2024)

Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space. - Alex Chen; Philippe Chlenski; Kenneth Munyuza; Antonio Khalil Moretti; Christian A. Naesseth; Itsik Pe'er (AISTATS, 2025)

Hyperbolic Genome Embeddings. - Raiyan R. Khan; Philippe Chlenski; Itsik Pe'er (ICLR, 2025)

Manify: A Python Library for Learning Non-Euclidean Representations. - Philippe Chlenski; Kaizhu Du; Dylan Satow; Itsik Pe'er (CoRR, 2025)

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach. - Philippe Chlenski; Itsik Pe'er (CoRR, 2025)