Sayan Mukherjee
Orcid: 0000-0002-6715-3920Affiliations:
- Duke University, Durham, NC, USA
- Columbia University, New York, NY, USA (former)
According to our database1,
Sayan Mukherjee
authored at least 74 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Representing fields without correspondences: the lifted Euler characteristic transform.
J. Appl. Comput. Topol., March, 2024
Play My Math: Second Development Cycle of an EdTech Tool Supporting the Teaching and Learning of Fractions Through Music in Algebraic Notation.
Proceedings of the Innovative Technologies and Learning - 7th International Conference, 2024
Play My Math: First Development Cycle of an EdTech Tool Supporting the Teaching and Learning of Fractions Through Music in Algebraic Notation.
Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024
2023
Int. J. Approx. Reason., 2023
Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks.
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
A topological data analytic approach for discovering biophysical signatures in protein dynamics.
PLoS Comput. Biol., 2022
PLoS Comput. Biol., 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes.
J. Mach. Learn. Res., 2022
2021
Discret. Comput. Geom., 2021
CoRR, 2021
A Bayesian hierarchical model to estimate DNA methylation conservation in colorectal tumors.
Bioinform., 2021
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
2020
At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing.
CoRR, 2020
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series.
CoRR, 2020
Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators.
CoRR, 2020
2019
A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators.
CoRR, 2019
CoRR, 2019
2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
2015
Proc. VLDB Endow., 2015
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
2014
IEEE Data Eng. Bull., 2014
Discret. Comput. Geom., 2014
2013
A comparative study of covariance selection models for the inference of gene regulatory networks.
J. Biomed. Informatics, 2013
Genome-wide identification and predictive modeling of tissue-specific alternative polyadenylation.
Bioinform., 2013
2012
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012
2011
Mach. Learn., 2011
2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence.
J. Mach. Learn. Res., 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers.
J. Biomed. Informatics, 2010
Proceedings of the Manifold Learning and Its Applications, 2010
2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
2007
J. Mach. Learn. Res., 2007
Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
PLoS Comput. Biol., 2006
J. Mach. Learn. Res., 2006
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization.
Adv. Comput. Math., 2006
Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
2005
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
2003
J. Comput. Biol., 2003
2002
Proceedings of the Pattern Recognition with Support Vector Machines, 2002
2001
Molecular classification of multiple tumor types.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
1996
1995
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995