A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting. - Eli N. Weinstein; Debora S. Marks (ICML, 2021)

A generative nonparametric Bayesian model for whole genomes. - Alan Nawzad Amin; Eli N. Weinstein; Debora S. Marks (NeurIPS, 2021)

Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models. - Eli N. Weinstein; Alan Nawzad Amin; Will S. Grathwohl; Daniel Kassler; Jean Disset; Debora S. Marks (AISTATS, 2022)

Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness. - Eli N. Weinstein; Alan Nawzad Amin; Jonathan Frazer; Debora S. Marks (NeurIPS, 2022)

ProGen2: Exploring the Boundaries of Protein Language Models. - Erik Nijkamp; Jeffrey A. Ruffolo; Eli N. Weinstein; Nikhil Naik 002; Ali Madani (CoRR, 2022)

A Kernelized Stein Discrepancy for Biological Sequences. - Alan Nawzad Amin; Eli N. Weinstein; Debora Susan Marks (ICML, 2023)

Biological Sequence Kernels with Guaranteed Flexibility. - Alan Nawzad Amin; Eli Nathan Weinstein; Debora Susan Marks (CoRR, 2023)

Bayesian Data Selection. - Eli N. Weinstein; Jeffrey W. Miller (J. Mach. Learn. Res., 2023)

Estimating the Causal Effects of T Cell Receptors. - Eli N. Weinstein; Elizabeth B. Wood; David M. Blei (CoRR, 2024)