Serverless linear algebra.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020
Rapid prediction of NMR spectral properties with quantified uncertainty.
J. Cheminformatics, 2019
Cloud Programming Simplified: A Berkeley View on Serverless Computing.
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CoRR, 2019
Ambitious Data Science Can Be Painless.
CoRR, 2019
Deep imitation learning for molecular inverse problems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
numpywren: serverless linear algebra.
CoRR, 2018
Could a Neuroscientist Understand a Microprocessor?
PLoS Comput. Biol., 2017
Flare Prediction Using Photospheric and Coronal Image Data.
CoRR, 2017
Occupy the Cloud: Distributed Computing for the 99%.
CoRR, 2017
Occupy the cloud: distributed computing for the 99%.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data.
J. Mach. Learn. Res., 2016
Towards Machine Learning on the Automata Processor.
Proceedings of the High Performance Computing - 31st International Conference, 2016
Building fast Bayesian computing machines out of intentionally stochastic, digital parts.
CoRR, 2014
Scaling Nonparametric Bayesian Inference via Subsample-Annealing.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Exact and Approximate Sampling by Systematic Stochastic Search.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009