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Eric Jonas
Eric Jonas
Assistant Professor, UChicago CS
Verified email at uchicago.edu - Homepage
Title
Cited by
Cited by
Year
Cloud programming simplified: A berkeley view on serverless computing
E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ...
arXiv preprint arXiv:1902.03383, 2019
7022019
Occupy the cloud: Distributed computing for the 99%
E Jonas, Q Pu, S Venkataraman, I Stoica, B Recht
Proceedings of the 2017 symposium on cloud computing, 445-451, 2017
5672017
Could a neuroscientist understand a microprocessor?
E Jonas, KP Kording
PLoS computational biology 13 (1), e1005268, 2017
3502017
DeepLoco: fast 3D localization microscopy using neural networks
N Boyd, E Jonas, H Babcock, B Recht
BioRxiv, 267096, 2018
1002018
Serverless linear algebra
V Shankar, K Krauth, K Vodrahalli, Q Pu, B Recht, I Stoica, ...
Proceedings of the 11th ACM Symposium on Cloud Computing, 281-295, 2020
932020
Flare prediction using photospheric and coronal image data
E Jonas, M Bobra, V Shankar, J Todd Hoeksema, B Recht
Solar Physics 293 (3), 48, 2018
922018
Rapid prediction of NMR spectral properties with quantified uncertainty
E Jonas, S Kuhn
Journal of Cheminformatics 11, 2019
892019
3D imaging in volumetric scattering media using phase-space measurements
HY Liu, E Jonas, L Tian, J Zhong, B Recht, L Waller
Optics express 23 (11), 14461-14471, 2015
862015
Towards machine learning on the automata processor
T Tracy, Y Fu, I Roy, E Jonas, P Glendenning
High Performance Computing: 31st International Conference, ISC High …, 2016
722016
Numpywren: Serverless linear algebra
V Shankar, K Krauth, Q Pu, E Jonas, S Venkataraman, I Stoica, B Recht, ...
arXiv preprint arXiv:1810.09679, 2018
642018
Automatic discovery of cell types and microcircuitry from neural connectomics
E Jonas, K Kording
Elife 4, e04250, 2015
602015
Prediction of chemical shift in NMR: A review
E Jonas, S Kuhn, N Schlörer
Magnetic Resonance in Chemistry 60 (11), 1021-1031, 2022
552022
Crosscat: A fully bayesian nonparametric method for analyzing heterogeneous, high dimensional data
V Mansinghka, P Shafto, E Jonas, C Petschulat, M Gasner, ...
Journal of Machine Learning Research 17 (138), 1-49, 2016
372016
Stochastic digital circuits for probabilistic inference
VK Mansinghka, EM Jonas, JB Tenenbaum
Massachussets Institute of Technology, Technical Report MITCSAIL-TR 2069, 2008
342008
Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR abs/1902.03383 (2019)
E Jonas, J Schleier-Smith, V Sreekanti, C Tsai, A Khandelwal, Q Pu, ...
arXiv preprint arXiv:1902.03383, 2019
312019
Deep imitation learning for molecular inverse problems
E Jonas
Advances in Neural Information Processing Systems, 2019
282019
Stochastic architectures for probabilistic computation
EM Jonas
Massachusetts Institute of Technology, 2014
252014
Cloud programming simplified: A berkeley view on serverless computing. arXiv 2019
E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ...
arXiv preprint arXiv:1902.03383, 0
25
Building fast bayesian computing machines out of intentionally stochastic, digital parts
V Mansinghka, E Jonas
arXiv preprint arXiv:1402.4914, 2014
232014
Cross-categorization: A method for discovering multiple overlapping clusterings
VK Mansinghka, E Jonas, C Petschulat, B Cronin, P Shafto, ...
Nonparametric Bayes Workshop at NIPS, 2009
222009
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