Sambuddha Ghosal

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All published works

Action	Title	Year	Authors
+	A deep-learning toolkit for visualization and interpretation of segmented medical images	2021	Sambuddha Ghosal Pratik Shah
+	Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation	2021	Sambuddha Ghosal Audrey Xie Pratik Shah
+	Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications.	2020	Luis G. Riera Matthew E. Carroll Zhisheng Zhang Johnathon M. Shook Sambuddha Ghosal Tianshuang Gao Arti Singh Sourabh Bhattacharya Baskar Ganapathysubramanian Asheesh K. Singh
+	Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images.	2020	Sambuddha Ghosal Pratik Shah
+	Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications	2020	Luis G Riera Matthew E. Carroll Zhisheng Zhang Johnathon M. Shook Sambuddha Ghosal Tianshuang Gao Arti Singh Sourabh Bhattacharya Baskar Ganapathysubramanian Asheesh K. Singh
+ PDF Chat	Interpretable deep learning for guided microstructure-property explorations in photovoltaics	2019	Balaji Sesha Sarath Pokuri Sambuddha Ghosal Apurva Kokate Soumik Sarkar Baskar Ganapathysubramanian
+	Encoding Invariances in Deep Generative Models	2019	Viraj Shah Ameya Joshi Sambuddha Ghosal Balaji Sesha Sarath Pokuri Soumik Sarkar Baskar Ganapathysubramanian Chinmay Hegde
+	Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data	2019	John J. Just Sambuddha Ghosal
+	Interpretable deep learning for guided structure-property explorations in photovoltaics	2018	Balaji Sesha Sarath Pokuri Sambuddha Ghosal Apurva Kokate Baskar Ganapathysubramanian Soumik Sarkar
+	Interpretable Deep Learning applied to Plant Stress Phenotyping	2017	Sambuddha Ghosal David Blystone Asheesh K. Singh Baskar Ganapathysubramanian Arti Singh Soumik Sarkar
+	Interpretable Deep Learning applied to Plant Stress Phenotyping	2017	Sambuddha Ghosal David Blystone Asheesh K. Singh Baskar Ganapathysubramanian Arti Singh Soumik Sarkar
+	An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS	2016	Chao Liu Sambuddha Ghosal Zhanhong Jiang Soumik Sarkar
+ PDF Chat	An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS	2016	Chao Liu Sambuddha Ghosal Zhanhong Jiang Soumik Sarkar
+	An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS	2015	Chao Liu Sambuddha Ghosal Zhanhong Jiang Soumik Sarkar

Common Coauthors

Coauthor	Papers Together
Soumik Sarkar	10
Baskar Ganapathysubramanian	7
Asheesh K. Singh	4
Arti Singh	4
Zhanhong Jiang	3
Balaji Sesha Sarath Pokuri	3
Tianshuang Gao	2
Zhisheng Zhang	2
Chao Liu	2
Matthew E. Carroll	2
Pratik Shah	2
Johnathon M. Shook	2
Sourabh Bhattacharya	2
Apurva Kokate	2
Pratik Shah	1
David Blystone	1
Luis G. Riera	1
David Blystone	1
Luis G Riera	1
John J. Just	1
Ameya Joshi	1
Chinmay Hegde	1
Audrey Xie	1
Chao Liu	1
Viraj Shah	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	3
+ PDF Chat	Interpretable deep learning for guided microstructure-property explorations in photovoltaics	2019	Balaji Sesha Sarath Pokuri Sambuddha Ghosal Apurva Kokate Soumik Sarkar Baskar Ganapathysubramanian	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Modeling morphology evolution during solvent-based fabrication of organic solar cells	2012	Olga Wodo Baskar Ganapathysubramanian	2
+ PDF Chat	Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis	2020	Aman Rana Alarice Lowe Marie Lithgow Katharine Horback Tyler Janovitz Annacarolina da Silva Harrison Tsai Vignesh Shanmugam Akram Bayat Pratik Shah	2
+ PDF Chat	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study	2018	John R. Zech Marcus A. Badgeley Manway Liu Anthony Costa J. Titano Eric K. Oermann	2
+	TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation	2018	Vladimir I. Iglovikov Alexey A. Shvets	2
+	Methods for interpreting and understanding deep neural networks	2017	Grégoire Montavon Wojciech Samek Klaus‐Robert Müller	2
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	2
+	On causality and mutual information	2008	Victor Solo	2
+ PDF Chat	Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-septic Patients	2018	Perikumar Javia Aman Rana Nathan I. Shapiro Pratik Shah	2
+	Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss	2018	Qi Dou Cheng Ouyang Cheng Chen Hao Chen Pheng‐Ann Heng	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	ADADELTA: An Adaptive Learning Rate Method	2012	Matthew D. Zeiler	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	2
+ PDF Chat	An Introduction to the Theory of Statistics	1911		2
+	What do we need to build explainable AI systems for the medical domain?	2017	Andreas Holzinger Chris Biemann Constantinos S. Pattichis Douglas B. Kell	1
+ PDF Chat	Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification	2018	Yinhao Zhu Nicholas Zabaras	1
+	On the Limitations of First-Order Approximation in GAN Dynamics	2017	Jerry Li Aleksander Mądry John Peebles Ludwig Schmidt	1
+	UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction	2018	Leland McInnes John J. Healy	1
+	Which Training Methods for GANs do actually Converge?	2018	Lars Mescheder Andreas Geiger Sebastian Nowozin	1
+ PDF Chat	Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks	2019	Panos Stinis Tobias Hagge Alexandre M. Tartakovsky Enoch Yeung	1
+	Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss	2018	Qi Dou Cheng Ouyang Cheng Chen Hao Chen Pheng‐Ann Heng	1
+ PDF Chat	Do Better ImageNet Models Transfer Better?	2019	Simon Kornblith Jonathon Shlens Quoc V. Le	1
+	Glow: Generative Flow with Invertible 1x1 Convolutions	2018	Diederik P. Kingma Prafulla Dhariwal	1
+	PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization	2018	Balaji Sesha Sarath Pokuri Alec Lofquist Chad Risko Baskar Ganapathysubramanian	1
+ PDF Chat	NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image	2020	Boaz Arad Radu Timofte Ohad Ben‐Shahar Yi‐Tun Lin Graham D. Finlayson Shai Givati Jiaojiao Li Chaoxiong Wu Rui Song Yunsong Li	1
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	1
+	Do GAN Loss Functions Really Matter	2018	Yipeng Qin Niloy J. Mitra Peter Wonka	1
+	Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data	2019	Yinhao Zhu Nicholas Zabaras Phaedon‐Stelios Koutsourelakis Paris Perdikaris	1
+	WAIC, but Why? Generative Ensembles for Robust Anomaly Detection	2018	Hyunsun Choi Eric Jang Alexander A. Alemi	1
+	How does Lipschitz Regularization Influence GAN Training?	2018	Yipeng Qin Niloy J. Mitra Peter Wonka	1
+	The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes	2019	Nicholas Heller Niranjan Sathianathen Arveen Kalapara Edward Walczak Keenan Moore Heather Kaluzniak Joel Rosenberg Paul Blake Zachary Rengel Makinna Oestreich	1
+	Spatially Constrained Generative Adversarial Networks for Conditional Image Generation	2019	Songyao Jiang Hongfu Liu Yue Wu Yun Fu	1
+	Transfusion: Understanding Transfer Learning for Medical Imaging	2019	Maithra Raghu Chiyuan Zhang Jon Kleinberg Samy Bengio	1
+	Encoding Invariances in Deep Generative Models	2019	Viraj Shah Ameya Joshi Sambuddha Ghosal Balaji Sesha Sarath Pokuri Soumik Sarkar Baskar Ganapathysubramanian Chinmay Hegde	1
+	Deep Anomaly Detection with Outlier Exposure	2018	Dan Hendrycks Mantas Mazeika Thomas G. Dietterich	1
+	MADE: Masked Autoencoder for Distribution Estimation	2015	Mathieu Germain Karol Gregor Iain Murray Hugo Larochelle	1
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	1
+ PDF Chat	Constrained Image Generation Using Binarized Neural Networks with Decision Procedures	2018	Svyatoslav Korneev Nina Narodytska Luca Pulina Armando Tacchella Nikolaj Bjørner Mooly Sagiv	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	Bias and Generalization in Deep Generative Models: An Empirical Study	2018	Shengjia Zhao Hongyu Ren Arianna Yuan Jiaming Song Noah D. Goodman Stefano Ermon	1
+	Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks	2018	Tengyuan Liang James Stokes	1
+	The Unusual Effectiveness of Averaging in GAN Training	2018	Yasin Yazıcı Chuan-Sheng Foo Stefan Winkler Kim–Hui Yap Georgios Piliouras Vijay Chandrasekhar	1
+ PDF Chat	Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes	2018	Frank Schoeneman Varun Chandola Nils Napp Olga Wodo Jarosław Żola	1