Oymak, Samet
University of California, Riverside
2 papers on CoChatORCID 0000-0001-5203-0752
Most cited papers
- Verified
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
Oymak, S., Fabian, Z., Li, M., & Soltanolkotabi, M. (2019) · arXiv
Stochastic Gradient Optimization TechniquesNeural Networks and Applications
Cited by 44
- Verified · note
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
Chang, X., Li, Y., Oymak, S., & Thrampoulidis, C. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence
Stochastic Gradient Optimization TechniquesAdvanced Neural Network Applications
Cited by 24
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