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Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits.

, , , and . NIPS, page 1304-1312. (2013)

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Kernel Sequential Monte Carlo., , , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 390-409. Springer, (2017)A Model to Search for Synthesizable Molecules., , , , and . NeurIPS, page 7935-7947. (2019)Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models., , , and . NeurIPS, page 15692-15703. (2019)Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning., and . CoRR, (2020)Black-Box Policy Search with Probabilistic Programs., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1195-1204. JMLR.org, (2016)Inference Networks for Sequential Monte Carlo in Graphical Models., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 3040-3049. JMLR.org, (2016)Learning a Generative Model for Validity in Complex Discrete Structures., , , , and . ICLR (Poster), OpenReview.net, (2018)Analyzing the Generalization and Reliability of Steering Vectors., , , , , , and . CoRR, (2024)Generating Molecules via Chemical Reactions., , , , and . DGS@ICLR, OpenReview.net, (2019)An Introduction to Probabilistic Programming, , , and . (2018)cite arxiv:1809.10756Comment: Under review at Foundations and Trends in Machine Learning.