Snigdhansu Chatterjee

According to our database, Snigdhansu Chatterjee authored at least 30 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Uncertainty Quantification in Inverse Models in Hydrology.

Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar

CoRR, 2023

Probabilistic Inverse Modeling: An Application in Hydrology.

Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

On weighted multivariate sign functions.

Subhabrata Majumdar, Snigdhansu Chatterjee

J. Multivar. Anal., 2022

Machine Learning Methods for Multiscale Physics and Urban Engineering Problems.

Somya Sharma, Marten Thompson, Debra F. Laefer, Michael Lawler, Kevin L. McIlhany, Olivier Pauluis, Dallas R. Trinkle, Snigdhansu Chatterjee

Entropy, 2022

Feature selection using e-values.

Subhabrata Majumdar, Snigdhansu Chatterjee

Proceedings of the International Conference on Machine Learning, 2022

2021

Winsorization for Robust Bayesian Neural Networks.

Somya Sharma, Snigdhansu Chatterjee

Entropy, 2021

Approximate Bayesian Computation for Physical Inverse Modeling.

Neel Chatterjee, Somya Sharma, Sarah L. Swisher, Snigdhansu Chatterjee

CoRR, 2021

Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions.

Subhabrata Majumdar, Snigdhansu Chatterjee

CoRR, 2021

2020

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks.

Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar

IEEE Trans. Knowl. Data Eng., 2020

Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data.

Jun Young Park, Jörg Polzehl, Snigdhansu Chatterjee, André Brechmann, Mark Fiecas

Comput. Stat. Data Anal., 2020

2019

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series.

Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar

CoRR, 2019

2018

Mining Sub-Interval Relationships In Time Series Data.

Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus W. MacDonald III, Snigdhansu Chatterjee, Vipin Kumar

CoRR, 2018

2017

Tripoles: A New Class of Relationships in Time Series Data.

Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise.

Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2015

Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data.

Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee

Proceedings of the Advances in Data Mining: Applications and Theoretical Aspects, 2015

2014

Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds.

Ujjal Kumar Mukherjee, Snigdhansu Chatterjee

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Contextual Time Series Change Detection.

Xi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics.

James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Sparse Group Lasso: Consistency and Climate Applications.

Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Testing the significance of spatio-temporal teleconnection patterns.

Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes.

Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

High dimensional data analysis using multivariate generalized spatial quantiles.

Nitai D. Mukhopadhyay, Snigdhansu Chatterjee

J. Multivar. Anal., 2011

Probabilistic Matrix Addition.

Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee

Proceedings of the 28th International Conference on Machine Learning, 2011

Sparse Group Lasso for Regression on Land Climate Variables.

Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly

Proceedings of the Data Mining Workshops (ICDMW), 2011

Anomaly Construction in Climate Data: Issues and Challenges.

Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2008

Structural Equation Modeling, A Bayesian Approach.

Snigdhansu Chatterjee

Technometrics, 2008

Reply to "Comment on causality and pathway search in microarray time series experiment".

Nitai D. Mukhopadhyay, Snigdhansu Chatterjee

Bioinform., 2008

2007

Causality and pathway search in microarray time series experiment.

Nitai D. Mukhopadhyay, Snigdhansu Chatterjee

Bioinform., 2007

2005

Procrustes Problems.

Snigdhansu Chatterjee

Technometrics, 2005

2004

Order Statistics.

Snigdhansu Chatterjee

Technometrics, 2004