| Entropy weighted power k-means clustering S Chakraborty, D Paul, S Das, J Xu International Conference on Artificial Intelligence and Statistics, 691-701, 2020 | 82 | 2020 |
| Hierarchical clustering with optimal transport S Chakraborty, D Paul, S Das Statistics & Probability Letters 163, 108781, 2020 | 49 | 2020 |
| Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm S Chakraborty, D Paul, S Das The Thirty- Fifth International Conference on Artificial Intelligence (AAAI-21), 2020 | 26 | 2020 |
| Implicit annealing in kernel spaces: A strongly consistent clustering approach D Paul, S Chakraborty, S Das, J Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5862-5871, 2022 | 24* | 2022 |
| Uniform concentration bounds toward a unified framework for robust clustering D Paul, S Chakraborty, S Das, J Xu Advances in Neural Information Processing Systems 34, 8307-8319, 2021 | 24 | 2021 |
| Robust principal component analysis: A median of means approach D Paul, S Chakraborty, S Das IEEE Transactions on Neural Networks and Learning Systems, 2023 | 20 | 2023 |
| A Bayesian Non‐parametric Approach for Automatic Clustering with Feature Weighting D Paul, S Das Stat, e306, 2020 | 11 | 2020 |
| On consistent entropy-regularized k-means clustering with feature weight learning: Algorithm and statistical analyses S Chakraborty, D Paul, S Das IEEE Transactions on Cybernetics 53 (8), 4779-4790, 2022 | 10 | 2022 |
| -Entropy: A New Measure of Uncertainty with Some Applications S Chakraborty, D Paul, S Das 2021 IEEE International Symposium on Information Theory (ISIT), 1475-1480, 2021 | 8 | 2021 |
| On the Uniform Concentration Bounds and Large Sample Properties of Clustering with Bregman Divergences D Paul, S Chakraborty, S Das Stat, e360, 2021 | 8 | 2021 |
| Principal ellipsoid analysis (PEA): Efficient non-linear dimension reduction & clustering D Paul, S Chakraborty, D Li, D Dunson arXiv preprint arXiv:2008.07110, 2020 | 3 | 2020 |
| Convex Clustering Redefined: Robust Learning with the Median of Means Estimator S De, K Chowdhury, B Mandal, S Ghosh, S Das, D Paul, S Chakraborty arXiv preprint arXiv:2511.14784, 2025 | | 2025 |
| A New Framework for Convex Clustering in Kernel Spaces: Finite Sample Bounds, Consistency and Performance Insights S Pan, S Chakraborty, D Paul, K Bose, S Das arXiv preprint arXiv:2511.05159, 2025 | | 2025 |
| Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator S Basu, JR Choudhury, D Paul, S Das 2025 International Joint Conference on Artificial Intelligence (IJCAI), 2025 | | 2025 |
| t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering D Paul, S Chakraborty, S Das International Conference on Learning Representations, 2024 | | 2024 |
| Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification S Chakraborty, D Paul, S Das arXiv preprint arXiv:2201.01973, 2022 | | 2022 |
| A New Visual Cryptography Scheme with Perfect Contrast using Galois Fields D Paul, S Chakraborty 2019 3rd International Conference on Recent Developments in Control …, 2019 | | 2019 |
| On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy D Paul, S Chakraborty, S Das, I Zelinka Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | | 2019 |
| Supplement to “Uniform Concentration Bounds toward a Unified Framework for Robust Clustering” D Paul, S Chakraborty, S Das, J Xu | | |
