Paroma Varma
Paroma Varma
Graduate Student, Stanford University
Verified email at
Cited by
Cited by
Parameterizing neural power spectra into periodic and aperiodic components
T Donoghue, M Haller, EJ Peterson, P Varma, P Sebastian, R Gao, T Noto, ...
Nature neuroscience 23 (12), 1655-1665, 2020
Snuba: Automating weak supervision to label training data
P Varma, C Ré
Proceedings of the VLDB Endowment. International Conference on Very Large …, 2018
Parameterizing neural power spectra. bioRxiv
M Haller, T Donoghue, E Peterson, P Varma, P Sebastian, R Gao, T Noto, ...
Epub ahead of print 11, 2018
Training Classifiers with Natural Language Explanations.
P Liang, C Ré, B Hancock, P Varma, S Wang, M Bringmann
ACL, 1884-1895, 2018
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
JA Fries, P Varma, VS Chen, K Xiao, H Tejeda, P Saha, J Dunnmon, ...
Nature communications 10 (1), 1-10, 2019
Scene graph prediction with limited labels
VS Chen, P Varma, R Krishna, M Bernstein, C Re, L Fei-Fei
Proceedings of the IEEE International Conference on Computer Vision, 2580-2590, 2019
Learning dependency structures for weak supervision models
P Varma, F Sala, A He, A Ratner, C Ré
International Conference on Machine Learning, 6418-6427, 2019
Socratic Learning: Correcting Misspecified Generative Models using Discriminative Models
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2016
Weak Supervision: The New Programming Paradigm for Machine Learning
A Ratner, S Bach, P Varma, C Ré
Jul, 2017
Inferring Generative Model Structure with Static Analysis
P Varma, BD He, P Bajaj, N Khandwala, I Banerjee, D Rubin, C Ré
Advances in neural information processing systems, 240-250, 2017
Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery
J Zhong, L Tian, P Varma, L Waller
IEEE Transactions on Computational Imaging 2 (3), 310-322, 2016
Parameterizing neural power spectra. biorxiv,(299859)
M Haller, T Donoghue, E Peterson, P Varma, P Sebastian, R Gao, T Noto, ...
Multi-resolution weak supervision for sequential data
P Varma, F Sala, S Sagawa, J Fries, D Fu, S Khattar, A Ramamoorthy, ...
Advances in Neural Information Processing Systems, 192-203, 2019
Flipper: A systematic approach to debugging training sets
P Varma, D Iter, C De Sa, C Ré
Proceedings of the 2nd Workshop on Human-in-the-Loop Data Analytics, 1-5, 2017
Cardiac Imaging of Aortic Valve Area from 34,287 UK Biobank Participants Reveal Novel Genetic Associations and Shared Genetic Comorbidity with Multiple Disease Phenotypes
A Córdova-Palomera, C Tcheandjieu, J Fries, P Varma, VS Chen, ...
Circulation: Genomic and Precision Medicine, 2020
Software 2.0 and Snorkel: Beyond Hand-Labeled Data
C Ré
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Near-Eye Display Gaze Tracking via Convolutional Neural Networks
R Konrad, S Shrestha, P Varma
Multi-frame weak supervision to label wearable sensor data
S Khattar, H O’Day, P Varma, J Fries, J Hicks, S Delp, H Bronte-Stewart, ...
ICML Time Series Workshop, 2019
DEEM'22: Data Management for End-to-End Machine Learning
M Boehm, P Varma, D Xin
Proceedings of the 2022 International Conference on Management of Data, 2548 …, 2022
Cardiac imaging of aortic valve area from 26,142 UK Biobank participants reveal novel genetic associations and shared genetic comorbidity with multiple disease phenotypes
A Córdova-Palomera, C Tcheandjieu, J Fries, P Varma, VS Chen, ...
medRxiv, 2020
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