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Soumya Ghosh
Soumya Ghosh
MIT-IBM Watson AI Lab, IBM Research
Verified email at cs.brown.edu - Homepage
Title
Cited by
Cited by
Year
Bayesian nonparametric federated learning of neural networks
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang, Y Khazaeni
International Conference on Machine Learning, 7252-7261, 2019
2412019
Model Selection in Bayesian Neural Networks via Horseshoe Priors.
S Ghosh, J Yao, F Doshi-Velez
J. Mach. Learn. Res. 20 (182), 1-46, 2019
932019
Spatial distance dependent Chinese restaurant processes for image segmentation
S Ghosh, A Ungureanu, E Sudderth, D Blei
Advances in Neural Information Processing Systems 24, 2011
912011
Quality of uncertainty quantification for Bayesian neural network inference
J Yao, W Pan, S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1906.09686, 2019
682019
Structured variational learning of Bayesian neural networks with horseshoe priors
S Ghosh, J Yao, F Doshi-Velez
International Conference on Machine Learning, 1744-1753, 2018
532018
Automatic recognition of landforms on Mars using terrain segmentation and classification
TF Stepinski, S Ghosh, R Vilalta
International Conference on Discovery Science, 255-266, 2006
412006
Assumed density filtering methods for learning bayesian neural networks
S Ghosh, FM Delle Fave, J Yedidia
Thirtieth AAAI Conference on Artificial Intelligence, 2016
402016
DPVis: Visual analytics with hidden markov models for disease progression pathways
BC Kwon, V Anand, KA Severson, S Ghosh, Z Sun, BI Frohnert, ...
IEEE transactions on visualization and computer graphics 27 (9), 3685-3700, 2020
352020
Early prediction of diabetes complications from electronic health records: A multi-task survival analysis approach
B Liu, Y Li, Z Sun, S Ghosh, K Ng
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
322018
Personalizing gesture recognition using hierarchical bayesian neural networks
A Joshi, S Ghosh, M Betke, S Sclaroff, H Pfister
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
302017
Automatic annotation of planetary surfaces with geomorphic labels
S Ghosh, TF Stepinski, R Vilalta
IEEE Transactions on Geoscience and Remote Sensing 48 (1), 175-185, 2009
302009
A probabilistic disease progression modeling approach and its application to integrated Huntington’s disease observational data
Z Sun, S Ghosh, Y Li, Y Cheng, A Mohan, C Sampaio, J Hu
JAMIA open 2 (1), 123-130, 2019
272019
From deformations to parts: Motion-based segmentation of 3D objects
S Ghosh, M Loper, E Sudderth, M Black
Advances in Neural Information Processing Systems 25, 2012
262012
Machine learning for automatic mapping of planetary surfaces
TF Stepinski, S Ghosh, R Vilalta
AAAI, 1807-1812, 2007
232007
A general framework for reconciling multiple weak segmentations of an image
S Ghosh, JJ Pfeiffer, J Mulligan
2009 Workshop on Applications of Computer Vision (WACV), 1-8, 2009
222009
Unsupervised learning with contrastive latent variable models
KA Severson, S Ghosh, K Ng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4862-4869, 2019
202019
Nonparametric learning for layered segmentation of natural images
S Ghosh, EB Sudderth
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2272-2279, 2012
192012
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in Neural Information Processing Systems 32, 2019
172019
Complication risk profiling in diabetes care: A bayesian multi-task and feature relationship learning approach
B Liu, Y Li, S Ghosh, Z Sun, K Ng, J Hu
IEEE Transactions on Knowledge and Data Engineering 32 (7), 1276-1289, 2019
152019
Introduction to machine learning
S Ghosh, HU TA, M Barrows, W Allen
15*2010
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Articles 1–20