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Eli N. Weinstein
Eli N. Weinstein
Postdoctoral Research Scientist, Data Science Institute, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
ProGen2: exploring the boundaries of protein language models
E Nijkamp, JA Ruffolo, EN Weinstein, N Naik, A Madani
Cell Systems 14 (11), 968-978. e3, 2023
1242023
Genetically targeted all-optical electrophysiology with a transgenic Cre-dependent optopatch mouse
S Lou, Y Adam, EN Weinstein, E Williams, K Williams, V Parot, ...
Journal of Neuroscience 36 (43), 11059-11073, 2016
952016
All-optical electrophysiology for high-throughput functional characterization of a human iPSC-derived motor neuron model of ALS
E Kiskinis, JM Kralj, P Zou, EN Weinstein, H Zhang, K Tsioras, O Wiskow, ...
Stem cell reports 10 (6), 1991-2004, 2018
602018
Co-evolution of interacting proteins through non-contacting and non-specific mutations
D Ding, AG Green, B Wang, TLV Lite, EN Weinstein, DS Marks, MT Laub
Nature Ecology & Evolution 6 (5), 590-603, 2022
262022
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models
EN Weinstein, AN Amin, W Grathwohl, D Kassler, J Disset, DS Marks
International Conference on Artificial Intelligence and Statistics 151, 7450 …, 2022
182022
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
EN Weinstein, AN Amin, J Frazer, DS Marks
Advances in Neural Information Processing Systems, 2022
162022
A structured observation distribution for generative biological sequence prediction and forecasting
EN Weinstein, DS Marks
International Conference on Machine Learning (ICML) 38, 11068-11079, 2021
122021
A generative nonparametric Bayesian model for whole genomes
A Amin, EN Weinstein, D Marks
Advances in Neural Information Processing Systems 34, 27798-27812, 2021
72021
Bayesian data selection
EN Weinstein, JW Miller
Journal of Machine Learning Research 24 (23), 1-72, 2023
42023
Generative Statistical Methods for Biological Sequences
EN Weinstein
Harvard University, 2022
42022
Biological Sequence Kernels with Guaranteed Flexibility
AN Amin, EN Weinstein, DS Marks
arXiv preprint arXiv:2304.03775, 2023
32023
Generative Models for Codon Prediction and Optimization
DK Yang, SL Goldman, E Weinstein, D Marks
Machine Learning in Computational Biology, 2019
32019
A Kernelized Stein Discrepancy for Biological Sequences
AN Amin, EN Weinstein, DS Marks
International Conference on Machine Learning, 2023
12023
Hierarchical Causal Models
EN Weinstein, DM Blei
arXiv preprint arXiv:2401.05330, 2024
2024
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