Sayan Mukherjee

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Fréchet Means for Distributions of Persistence Diagrams

Sayan Mukherjee, John Harer, Katharine Turner, 2012, Discrete & Computational Geometry.

The Information Geometry of Mirror Descent

Sayan Mukherjee, Garvesh Raskutti, S. Mukherjee, 2013, IEEE Transactions on Information Theory.

Cumulon: Cloud-Based Statistical Analysis from Users Perspective

Sayan Mukherjee, Shivnath Babu, Jun Yang, 2014, IEEE Data Eng. Bull..

Genome-wide identification and predictive modeling of tissue-specific alternative polyadenylation

Sayan Mukherjee, Jun Zhu, Uwe Ohler, 2013, Bioinform..

The Geometry of Synchronization Problems and Learning Group Actions

Sayan Mukherjee, Tingran Gao, Jacek Brodzki, 2016, Discrete & Computational Geometry.

Stratification Learning through Homology Inference

Sayan Mukherjee, Bei Wang, Paul Bendich, 2010, AAAI Fall Symposium: Manifold Learning and Its Applications.

Efficient Learning of Graded Membership Models pdf

Sayan Mukherjee, Zilong Tan, S. Mukherjee, 2017, ArXiv.

Fast Moment Estimation for Generalized Latent Dirichlet Models

Sayan Mukherjee, David B. Dunson, Shiwen Zhao, 2016, Journal of the American Statistical Association.

Subspace Clustering through Sub-Clusters pdf

Sayan Mukherjee, Jan Hannig, Weiwei Li, 2018, ArXiv.

Feature reduction and hierarchy of classifiers for fast object detection in video images

Sayan Mukherjee, Thomas Serre, Tomaso A. Poggio, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Permutation Tests for Classification

Sayan Mukherjee, Dmitry Panchenko, Polina Golland, 2005, COLT.

Development and assessment of fully automated and globally transitive geometric morphometric methods, with application to a biological comparative dataset with high interspecific variation

Sayan Mukherjee, Doug M. Boyer, Tingran Gao, 2016, bioRxiv.

Learning Integral Representations of Gaussian Processes pdf

Sayan Mukherjee, Zilong Tan, S. Mukherjee, 2018, ArXiv.

Predicting Signal Peptides with Support Vector Machines

Sayan Mukherjee, Neelanjan Mukherjee, Sayan Mukherjee, 2002, SVM.

Partitioned Tensor Factorizations for Learning Mixed Membership Models

Sayan Mukherjee, Zilong Tan, S. Mukherjee, 2017, ICML.

Classical Music Composition Using State Space Models pdf

Sayan Mukherjee, Anna K. Yanchenko, S. Mukherjee, 2017, ArXiv.

The Information Geometry of Mirror Descent

Sayan Mukherjee, Garvesh Raskutti, S. Mukherjee, 2013, IEEE Transactions on Information Theory.

Modeling Cancer Progression via Pathway Dependencies

Sayan Mukherjee, Justin Guinney, Elena J. Edelman, 2008, PLoS Comput. Biol..

Molecular classification of multiple tumor types

Sayan Mukherjee, Jill P. Mesirov, Sridhar Ramaswamy, 2001, ISMB.

Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence

Sayan Mukherjee, Justin Guinney, Mauro Maggioni, 2010, J. Mach. Learn. Res..

Supervised Dimension Reduction Using Bayesian Mixture Modeling

Sayan Mukherjee, Kai Mao, Feng Liang, 2010, AISTATS.

Classifying Microarray Data Using Support Vector Machines

Sayan Mukherjee, Sayan Mukherjee, 2003 .

Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization

Sayan Mukherjee, Tomaso A. Poggio, Partha Niyogi, 2006, Adv. Comput. Math..

Evidence of Influence of Genomic DNA Sequence on Human X Chromosome Inactivation

Sayan Mukherjee, Terrence S. Furey, Zhong Wang, 2006, PLoS Comput. Biol..

Multiple testing with persistent homology pdf

Sayan Mukherjee, Mikael Vejdemo-Johansson, S. Mukherjee, 2018, ArXiv.

Estimating variable structure and dependence in multitask learning via gradients

Sayan Mukherjee, Justin Guinney, Qiang Wu, 2011, Machine Learning.

Feature Selection for SVMs

Sayan Mukherjee, Jason Weston, Tomaso A. Poggio, 2000, NIPS.

Phase synchronization of instrumental music signals

Sayan Mukherjee, Sanjay Kumar Palit, D. K. Bhattacharya, 2014, 1409.1433.

Estimation of Gradients and Coordinate Covariation in Classification

Sayan Mukherjee, Qiang Wu, S. Mukherjee, 2006, J. Mach. Learn. Res..

Bayesian group factor analysis with structured sparsity

Sayan Mukherjee, Chuan Gao, Shiwen Zhao, 2016, J. Mach. Learn. Res..

Localized Sliced Inverse Regression

Sayan Mukherjee, Feng Liang, Qiang Wu, 2008, NIPS.

Probabilistic Fréchet Means and Statistics on Vineyards pdf

Sayan Mukherjee, Paul Bendich, John Harer, 2013, ArXiv.

An Analytical Method for Multiclass Molecular Cancer Classification

Sayan Mukherjee, Jill P. Mesirov, Sridhar Ramaswamy, 2003, SIAM Rev..

Fast principal components analysis reveals convergent evolution of ADH1B gene in Europe and East Asia

Sayan Mukherjee, Alkes L. Price, Gaurav Bhatia, 2015, bioRxiv.

Random walks on simplicial complexes and harmonics†

Sayan Mukherjee, John Steenbergen, S. Mukherjee, 2013, Random Struct. Algorithms.

Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles

Sayan Mukherjee, Justin Guinney, Andrea Bild, 2006, ISMB.

Local homology transfer and stratification learning

Sayan Mukherjee, Bei Wang, Paul Bendich, 2012, SODA.

Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances

Sayan Mukherjee, Shivnath Babu, Jun Yang, 2015, Proc. VLDB Endow..

Adaptive particle-based approximations of the Gibbs posterior for inverse problems pdf

Sayan Mukherjee, Harbir Antil, Wilkins Aquino, 2019, ArXiv.

Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women

Sayan Mukherjee, Joseph Y. Lo, Jeffrey R. Marks, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Characterizing the Function Space for Bayesian Kernel Models

Sayan Mukherjee, Feng Liang, Natesh S. Pillai, 2007, J. Mach. Learn. Res..

Learning Coordinate Covariances via Gradients

Sayan Mukherjee, Ding-Xuan Zhou, Ding-Xuan Zhou, 2006, J. Mach. Learn. Res..

Adaptive Randomized Dimension Reduction on Massive Data

Sayan Mukherjee, Barbara E. Engelhardt, Gregory Darnell, 2015, J. Mach. Learn. Res..

Estimating Dataset Size Requirements for Classifying DNA Microarray Data

Sayan Mukherjee, Jill P. Mesirov, Colin Campbell, 2003, J. Comput. Biol..

A comparative study of covariance selection models for the inference of gene regulatory networks

Sayan Mukherjee, Nicola Ancona, Roberto Anglani, 2013, J. Biomed. Informatics.

Contour trees of uncertain terrains

Sayan Mukherjee, Pankaj K. Agarwal, Wuzhou Zhang, 2015, SIGSPATIAL/GIS.

Scalable Algorithms for Learning High-Dimensional Linear Mixed Models pdf

Sayan Mukherjee, Xiang Zhou, Zilong Tan, 2018, UAI.

Statistical Assessment of MSigDB Gene Sets in Colon Cancer

Sayan Mukherjee, Annarita D'Addabbo, Nicola Ancona, 2008, KES.

Choosing Multiple Parameters for Support Vector Machines

Sayan Mukherjee, Olivier Chapelle, Vladimir Vapnik, 2002, Machine Learning.

Probabilistic Fréchet Means and Statistics on Vineyards

Sayan Mukherjee, Paul Bendich, John Harer, 2013, ArXiv.

Towards Explainable Convolutional Features for Music Audio Modeling pdf

Sayan Mukherjee, Vahid Tarokh, Mohammadreza Soltani, 2021, ArXiv.

Bayesian group latent factor analysis with structured sparse priors

Sayan Mukherjee, Shiwen Zhao, Barbara E. Engelhardt, 2014 .

How Many Directions Determine a Shape and other Sufficiency Results for Two Topological Transforms

Sayan Mukherjee, Katharine Turner, Justin Curry, 2018, Transactions of the American Mathematical Society, Series B.

Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder

Sayan Mukherjee, Felipe A. Medeiros, Samuel I. Berchuck, 2019, Scientific Reports.

A new technique for the classification of pre-meditative and meditative states

Sayan Mukherjee, Anilesh Dey, Sanjay Kumar Palit, 2011, 2011 International Conference on Communication and Industrial Application.

Topological Data Analysis and Machine Learning Theory

Sayan Mukherjee, Mikhail Belkin, Brittany Terese Fasy, 2012 .

A phylogenetic transform enhances analysis of compositional microbiota data

Sayan Mukherjee, Justin D. Silverman, Lawrence A. David, 2016 .

Bayesian group latent factor analysis with structured sparsity

Sayan Mukherjee, Shiwen Zhao, Barbara E Engelhardt, 2014, 1411.2698.

A study on dynamical complexity of noise induced blood flow

Sayan Mukherjee, Shaobo He, Bo Yan, 2019, The European Physical Journal Special Topics.

echet Means and Statistics on Vineyards

Sayan Mukherjee, Paul Bendich, John Harer, 2013 .

Can complexity decrease in congestive heart failure

Sayan Mukherjee, Sanjay Kumar Palit, Lamberto Rondoni, 2015, 1508.01734.

Phylofactorization: a graph-partitioning algorithm to identify phylogenetic scales of ecological data

Sayan Mukherjee, James T. Morton, Justin D. Silverman, 2017, bioRxiv.

Complexity in congestive heart failure: A time-frequency approach.

Sayan Mukherjee, Lamberto Rondoni, Santo Banerjee, 2016, Chaos.