Eli N. Weinstein

11 papers A* 4A 1Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical Causal Models.
J. Mach. Learn. Res.
Eli N. Weinstein, David M. Blei
2025 J jnl
Accelerated Learning on Large Scale Screens using Generative Library Models.
CoRR
Eli N. Weinstein, Andrei Slabodkin, Mattia G. Gollub, Elizabeth B. Wood
2025 J jnl
Biological Sequence Kernels with Guaranteed Flexibility.
J. Mach. Learn. Res.
Alan Nawzad Amin, Debora S. Marks, Eli N. Weinstein
2024 J jnl
Estimating the Causal Effects of T Cell Receptors.
CoRR
Eli N. Weinstein, Elizabeth B. Wood, David M. Blei
2023 A* conf
A Kernelized Stein Discrepancy for Biological Sequences.
ICML
Alan Nawzad Amin, Eli N. Weinstein, Debora Susan Marks
2023 J jnl
Bayesian Data Selection.
J. Mach. Learn. Res.
Eli N. Weinstein, Jeffrey W. Miller
2022 A* conf
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness.
NeurIPS
Eli N. Weinstein, Alan Nawzad Amin, Jonathan Frazer, Debora S. Marks
2022 A conf
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models.
AISTATS
Eli N. Weinstein, Alan Nawzad Amin, Will S. Grathwohl, Daniel Kassler, Jean Disset, Debora S. Marks
2022 J jnl
ProGen2: Exploring the Boundaries of Protein Language Models.
CoRR
Erik Nijkamp, Jeffrey A. Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani
2021 A* conf
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting.
ICML
Eli N. Weinstein, Debora S. Marks
2021 A* conf
A generative nonparametric Bayesian model for whole genomes.
NeurIPS
Alan Nawzad Amin, Eli N. Weinstein, Debora S. Marks