Publications

Ramchandran Muthukumar (2025). From Parsimony To Local Sensitivity: Generalization and Robustness In Modern Machine Learning. JScholarship.

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Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam, Rene Vidal (2025). Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality. CVPR 2025.

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Ramchandran Muthukumar, Jeremias Sulam (2023). Sparsity-aware generalization theory for deep neural networks. In COLT 2023.

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Ramchandran Muthukumar, Jeremias Sulam (2022). Adversarial robustness of sparse local Lipschitz predictors. In SIMODS 2023.

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Ramchandran Muthukumar, Drew P. Kouri, Madeleine Udell (2021). Randomized sketching algorithms for low-memory dynamic optimization. In SIAM-OPT 2021.

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Ramchandran Muthukumar, Jeremias Sulam (2020). Adversarial Robustness of Supervised Sparse Coding. In NeurIPS 2020.

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