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Kashvi Srivastava
Kashvi Srivastava
PhD Student
Verified email at umich.edu
Title
Cited by
Cited by
Year
Applying complex-step derivative approximations in model-based derivative-free optimization
W Hare, K Srivastava
ResearchGate, October, 2020
6*2020
Stochastic enzyme kinetics and the quasi-steady-state reductions: Application of the slow scale linear noise approximation à la Fenichel
J Eilertsen, K Srivastava, S Schnell
Journal of mathematical biology 85 (1), 3, 2022
52022
Learning partial differential equations from noisy data using neural networks
K Srivastava, M Ahlawat, J Singh, V Kumar
Journal of Physics: Conference Series 1655 (1), 012075, 2020
52020
Denoising Low-Rank Data Under Distribution Shift: Double Descent and Data Augmentation
C Kausik, K Srivastava, R Sonthalia
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
2023
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Articles 1–4