Eric Jonas

Orcid: 0000-0001-6159-3450

According to our database1, Eric Jonas authored at least 16 papers between 2009 and 2023.

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Bibliography

2023
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds.
CoRR, 2023

2020
Serverless linear algebra.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019
Rapid prediction of NMR spectral properties with quantified uncertainty.
J. Cheminformatics, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing.
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

2018
numpywren: serverless linear algebra.
CoRR, 2018

2017
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

2016
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

2014
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

2009
Exact and Approximate Sampling by Systematic Stochastic Search.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009


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