| 2026 | AAAI | Convex Clustering Redefined: Robust Learning with the Median of Means Estimator. | Koustav Chowdhury, Bibhabasu Mandal, Sourav De, Sagar Ghosh, Swagatam Das, Debolina Paul, Saptarshi Chakraborty |
| 2025 | AISTATS | Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs. | Saptarshi Chakraborty, Peter L. Bartlett |
| 2024 | ICLR | A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data. | Saptarshi Chakraborty, Peter L. Bartlett |
| 2024 | ICLR | t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering. | Debolina Paul, Saptarshi Chakraborty, Swagatam Das |
| 2023 | AISTATS | Clustering High-dimensional Data with Ordered Weighted ℓ | Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty, Swagatam Das |
| 2022 | ICML | Bregman Power k-Means for Clustering Exponential Family Data. | Adithya Vellal, Saptarshi Chakraborty, Jason Q. Xu |
| 2021 | AAAI | Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. | Saptarshi Chakraborty, Debolina Paul, Swagatam Das |
| 2021 | ISIT | $t$-Entropy: A New Measure of Uncertainty with Some Applications. | Saptarshi Chakraborty, Debolina Paul, Swagatam Das |
| 2020 | AISTATS | Entropy Weighted Power k-Means Clustering. | Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Q. Xu |
| 2019 | GECCO | On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy. | Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Ivan Zelinka |