Soumya Ghosh
Soumya Ghosh
MIT-IBM Watson AI Lab, IBM Research
Adresse e-mail validée de cs.brown.edu - Page d'accueil
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Année
Spatial distance dependent Chinese restaurant processes for image segmentation
S Ghosh, A Ungureanu, E Sudderth, D Blei
Advances in Neural Information Processing Systems 24, 1476-1484, 2011
842011
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
682019
Model selection in Bayesian neural networks via horseshoe priors
S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1705.10388, 2017
362017
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
352018
Quality of uncertainty quantification for Bayesian neural network inference
J Yao, W Pan, S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1906.09686, 2019
322019
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
292006
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
262009
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
242017
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, 1997-2005, 2012
242012
Assumed density filtering methods for learning bayesian neural networks
S Ghosh, F Delle Fave, J Yedidia
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
232016
Machine learning for automatic mapping of planetary surfaces
TF Stepinski, S Ghosh, R Vilalta
AAAI, 1807-1812, 2007
222007
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
212018
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
Nonparametric learning for layered segmentation of natural images
S Ghosh, EB Sudderth
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2272-2279, 2012
172012
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
122019
Model Selection in Bayesian Neural Networks via Horseshoe Priors.
S Ghosh, J Yao, F Doshi-Velez
Journal of Machine Learning Research 20 (182), 1-46, 2019
102019
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
92019
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
Workshop on Bayesian Deep Learning, NIPS, 2018
82018
Nonparametric Clustering with Distance Dependent Hierarchies.
S Ghosh, M Raptis, L Sigal, EB Sudderth
UAI, 260-269, 2014
82014
A segmentation guided label propagation scheme for autonomous navigation
S Ghosh, J Mulligan
2010 IEEE International Conference on Robotics and Automation, 895-902, 2010
82010
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