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Dive into the research topics where Debarghya Ghoshdastidar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses
Wasserer, T., Fleissner, M. & Ghoshdastidar, D., 2026, In: Proceedings of Machine Learning Research. 313Research output: Contribution to journal › Conference article › peer-review
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Recovering Imbalanced Clusters via gradient-based projection pursuit
Eppert, M., Mukherjee, S. & Ghoshdastidar, D., Mar 2026, In: Journal of Multivariate Analysis. 212, 105530.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Robustness Certificates for Neural Networks Against Data Poisoning and Evasion Attacks
Taheri, S., Sabanayagam, M., Ghoshdastidar, D. & Zamani, M., 2026, In: IEEE Open Journal of Control Systems. 5, p. 303-318 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Wasserstein projection pursuit of non-Gaussian signals
Mukherjee, S., Mukherjee, S. S. & Ghoshdastidar, D., Mar 2026, In: Journal of Multivariate Analysis. 212, 105535.Research output: Contribution to journal › Article › peer-review
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Infinite Width Limits of Self Supervised Neural Networks
Fleissner, M., Anil, G. G. & Ghoshdastidar, D., 2025, In: Proceedings of Machine Learning Research. 258, p. 3169-3177 9 p.Research output: Contribution to journal › Conference article › peer-review