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ORCIDRamchandran Muthukumar
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2020 – today
- 2025
[i6]Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam, René Vidal:
Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality. CoRR abs/2501.18098 (2025)- 2023
- [j2]Ramchandran Muthukumar
, Jeremias Sulam:
Adversarial Robustness of Sparse Local Lipschitz Predictors. SIAM J. Math. Data Sci. 5(4): 920-948 (2023) - [c2]Ramchandran Muthukumar, Jeremias Sulam:
Sparsity-aware generalization theory for deep neural networks. COLT 2023: 5311-5342 - [i5]Ramchandran Muthukumar, Jeremias Sulam:
Sparsity-aware generalization theory for deep neural networks. CoRR abs/2307.00426 (2023) - 2022
- [i4]Ramchandran Muthukumar, Jeremias Sulam:
Adversarial robustness of sparse local Lipschitz predictors. CoRR abs/2202.13216 (2022) - 2021
- [j1]Ramchandran Muthukumar, Drew P. Kouri, Madeleine Udell:
Randomized Sketching Algorithms for Low-Memory Dynamic Optimization. SIAM J. Optim. 31(2): 1242-1275 (2021) - 2020
- [c1]Jeremias Sulam, Ramchandran Muthukumar, Raman Arora:
Adversarial Robustness of Supervised Sparse Coding. NeurIPS 2020 - [i3]Anirbit Mukherjee, Ramchandran Muthukumar:
Guarantees on learning depth-2 neural networks under a data-poisoning attack. CoRR abs/2005.01699 (2020) - [i2]Anirbit Mukherjee, Ramchandran Muthukumar:
A Study of Neural Training with Non-Gradient and Noise Assisted Gradient Methods. CoRR abs/2005.04211 (2020) - [i1]Jeremias Sulam, Ramchandran Muthukumar, Raman Arora:
Adversarial Robustness of Supervised Sparse Coding. CoRR abs/2010.12088 (2020)
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