Saptarshi Chakraborty

Orcid: 0000-0002-3121-9174

According to our database1, Saptarshi Chakraborty authored at least 46 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Efficient Logistic Regression with Mixture of Sigmoids.
CoRR, April, 2026

Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data.
CoRR, March, 2026

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Code for: Predictive Modeling of Chronic Foot Ulcer Outcomes Using Longitudinal Photoacoustic Imaging.
Dataset, December, 2025

Code for: Predictive Modeling of Chronic Foot Ulcer Outcomes Using Longitudinal Photoacoustic Imaging.
Dataset, December, 2025

OneTouch Automated Photoacoustic and Ultrasound Imaging of Breast in Standing Pose.
IEEE Trans. Medical Imaging, November, 2025

A New Framework for Convex Clustering in Kernel Spaces: Finite Sample Bounds, Consistency and Performance Insights.
CoRR, November, 2025

ARM<sub>sbd</sub>: an adaptive robust multistage shot boundary detection technique under variable sudden illumination and object motion effects.
Signal Image Video Process., June, 2025

Minimax Lower Bounds for Estimating Distributions on Low-dimensional Spaces.
Trans. Mach. Learn. Res., 2025

On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension.
J. Mach. Learn. Res., 2025

Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Robust Principal Component Analysis: A Median of Means Approach.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data.
CoRR, 2024

A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data.
CoRR, 2024

Neural-g: A Deep Learning Framework for Mixing Density Estimation.
CoRR, 2024

t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Likelihood Ratio Test-Based Drug Safety Assessment using R Package \pkg{pvLRT}.
R J., March, 2023

On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses.
IEEE Trans. Cybern., 2023

Biconvex Clustering.
J. Comput. Graph. Stat., 2023

Clustering High-dimensional Data with Ordered Weighted ℓ<sub>1</sub> Regularization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
A novel bifold-stage shot boundary detection algorithm: invariant to motion and illumination.
Vis. Comput., 2022

Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification.
CoRR, 2022

Bregman Power k-Means for Clustering Exponential Family Data.
Proceedings of the International Conference on Machine Learning, 2022

2021
A Shot boundary Detection Technique based on Visual Colour Information.
Multim. Tools Appl., 2021

SBD-Duo: a dual stage shot boundary detection technique robust to motion and illumination effect.
Multim. Tools Appl., 2021

BAMBI: An R Package for Fitting Bivariate Angular Mixture Models.
J. Stat. Softw., 2021

Uniform Concentration Bounds toward a Unified Framework for Robust Clustering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

$t$-Entropy: A New Measure of Uncertainty with Some Applications.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A novel automatic shot boundary detection algorithm: robust to illumination and motion effect.
Signal Image Video Process., 2020

Kernel k-Means, By All Means: Algorithms and Strong Consistency.
CoRR, 2020

Entropy Regularized Power k-Means Clustering.
CoRR, 2020

Entropy Weighted Power k-Means Clustering.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
A Strongly Consistent Sparse k-means Clustering with Direct l<sup>1</sup> Penalization on Variable Weights.
CoRR, 2019

A novel shot boundary detection system using hybrid optimization technique.
Appl. Intell., 2019

On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2017
k-Means clustering with a new divergence-based distance metric: Convergence and performance analysis.
Pattern Recognit. Lett., 2017

2016
Alpha-anonymization techniques for privacy preservation in social networks.
Soc. Netw. Anal. Min., 2016

Privacy preservation in relational data through l-diversity and recursive (c, l) diversity anonymisation.
Int. J. Math. Model. Numer. Optimisation, 2016

Privacy preserving anonymization of social networks using eigenvector centrality approach.
Intell. Data Anal., 2016

2015
Analysis and Performance Enhancement to Achieve Recursive (c, l) Diversity Anonymization in Social Networks.
Trans. Data Priv., 2015

Privacy Preservation in Social networks through alpha: anonymization techniques.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
An Overview of Face Liveness Detection.
CoRR, 2014


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