Analyzing T cell receptor alpha/beta usage in binding to the pMHC. - Ryan Ehrlich; Dario Ghersi (BIBM, 2017)

SwarmTCR: a computational approach to predict the specificity of T cell receptors. - Ryan Ehrlich; Larisa Kamga; Anna Gil; Katherine Luzuriaga; Liisa K. Selin; Dario Ghersi (BMC Bioinform., 2021)

Language Models Inversely Scale on Piecewise Function Evaluation with Biased Examples. - Bradley C. A. Brown; Jordan Juravsky; Atif Mahmud; Wais Shahbaz; Ryan Ehrlich (Tiny Papers @ ICLR, 2023)

Hydragen: High-Throughput LLM Inference with Shared Prefixes. - Jordan Juravsky; Bradley C. A. Brown; Ryan Ehrlich; Daniel Y. Fu; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. - Bradley C. A. Brown; Jordan Juravsky; Ryan Ehrlich; Ronald Clark; Quoc V. Le; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

CodeMonkeys: Scaling Test-Time Compute for Software Engineering. - Ryan Ehrlich; Bradley C. A. Brown; Jordan Juravsky; Ronald Clark; Christopher Ré; Azalia Mirhoseini (CoRR, 2025)

Cartridges: Lightweight and general-purpose long context representations via self-study. - Sabri Eyuboglu; Ryan Ehrlich; Simran Arora; Neel Guha; Dylan Zinsley; Emily Liu; Will Tennien; Atri Rudra; James Zou 001; Azalia Mirhoseini; Christopher Ré (CoRR, 2025)

TRain: T-cell receptor automated immunoinformatics. - Austin Seamann; Maia Bennett-Boehm; Ryan Ehrlich; Anna Gil; Liisa K. Selin; Dario Ghersi (BMC Bioinform., 2025)