Chiraag Kaushik

According to our database, Chiraag Kaushik authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Decomposing multimodal embedding spaces with group-sparse autoencoders.

Chiraag Kaushik, Davis Barch, Andrea Fanelli

CoRR, January, 2026

2025

A general technique for approximating high-dimensional empirical kernel matrices.

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

CoRR, November, 2025

2024

New Equivalences between Interpolation and SVMs: Kernels and Structured Features.

Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar

SIAM J. Math. Data Sci., 2024

The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective.

Chi-Heng Lin, Chiraag Kaushik, Eva L. Dyer, Vidya Muthukumar

J. Mach. Learn. Res., 2024

MANGO: Disentangled Image Transformation Manifolds with Grouped Operators.

Brighton Ancelin, Yenho Chen, Peimeng Guan, Chiraag Kaushik, Belen Martin-Urcelay, Alex Saad-Falcon, Nakul Singh

CoRR, 2024

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks.

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance.

Chiraag Kaushik, Ran Liu, Chi-Heng Lin, Amrit Khera, Matthew Y. Jin, Wenrui Ma, Vidya Muthukumar, Eva L. Dyer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2021

Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures.

Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2021