Adversarial Robustness of Supervised Sparse Coding. - Jeremias Sulam; Ramchandran Muthukumar; Raman Arora (NeurIPS, 2020)

Guarantees on learning depth-2 neural networks under a data-poisoning attack. - Anirbit Mukherjee; Ramchandran Muthukumar (CoRR, 2020)

A Study of Neural Training with Non-Gradient and Noise Assisted Gradient Methods. - Anirbit Mukherjee; Ramchandran Muthukumar (CoRR, 2020)

Randomized Sketching Algorithms for Low-Memory Dynamic Optimization. - Ramchandran Muthukumar; Drew P. Kouri; Madeleine Udell (SIAM J. Optim., 2021)

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

Adversarial Robustness of Sparse Local Lipschitz Predictors. - Ramchandran Muthukumar; Jeremias Sulam (SIAM J. Math. Data Sci., 2023)

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

Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality. - Ramchandran Muthukumar; Ambar Pal; Jeremias Sulam; René Vidal (CoRR, 2025)