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Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models.

, , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 7450-7482. PMLR, (2022)

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A Kernelized Stein Discrepancy for Biological Sequences., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 718-767. PMLR, (2023)Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models., , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 7450-7482. PMLR, (2022)A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11068-11079. PMLR, (2021)Bayesian Data Selection., and . J. Mach. Learn. Res., (2023)Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness., , , and . NeurIPS, (2022)A generative nonparametric Bayesian model for whole genomes., , and . NeurIPS, page 27798-27812. (2021)