Soumya Ghosh
Soumya Ghosh
Verified email at cs.brown.edu
Title
Cited by
Cited by
Year
Spatial distance dependent Chinese restaurant processes for image segmentation
S Ghosh, AB Ungureanu, EB Sudderth, DM Blei
Advances in Neural Information Processing Systems, 1476-1484, 2011
822011
Bayesian nonparametric federated learning of neural networks
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, TN Hoang, Y Khazaeni
arXiv preprint arXiv:1905.12022, 2019
352019
Model selection in Bayesian neural networks via horseshoe priors
S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1705.10388, 2017
302017
Structured variational learning of Bayesian neural networks with horseshoe priors
S Ghosh, J Yao, F Doshi-Velez
arXiv preprint arXiv:1806.05975, 2018
282018
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
262006
From deformations to parts: Motion-based segmentation of 3D objects
S Ghosh, M Loper, EB Sudderth, MJ Black
Advances in Neural Information Processing Systems, 1997-2005, 2012
252012
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
252009
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
222017
Assumed Density Filtering Methods for Learning Bayesian Neural Networks.
S Ghosh, FM Delle Fave, JS Yedidia
AAAI, 1589-1595, 2016
212016
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
202009
Quality of uncertainty quantification for Bayesian neural network inference
J Yao, W Pan, S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1906.09686, 2019
192019
Machine learning for automatic mapping of planetary surfaces
TF Stepinski, S Ghosh, R Vilalta
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 22 (2), 1807, 2007
182007
Nonparametric learning for layered segmentation of natural images
S Ghosh, EB Sudderth
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2272-2279, 2012
162012
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
AAAI, 101-108, 2018
152018
Unsupervised learning with contrastive latent variable models
KA Severson, S Ghosh, K Ng
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4862-4869, 2019
92019
Nonparametric Clustering with Distance Dependent Hierarchies.
S Ghosh, M Raptis, L Sigal, EB Sudderth
UAI, 260-269, 2014
82014
Machine learning tools for automatic mapping of Martian landforms
T Stepinski, R Vilalta, S Ghosh
IEEE Intelligent Systems 22 (6), 100-106, 2007
82007
A segmentation guided label propagation scheme for autonomous navigation
S Ghosh, J Mulligan
2010 IEEE International Conference on Robotics and Automation, 895-902, 2010
72010
Latent projection bnns: Avoiding weight-space pathologies by learning latent representations of neural network weights
MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1811.07006, 2018
62018
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, 2019
52019
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Articles 1–20