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cs.LG2023
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
Kevin Course, Prasanth B. Nair
We consider the problem of inferring latent stochastic differential equations (SDEs) with a time and memory cost that scales independently with the amount of data, the total length…
cond-mat.mtrl-sci2023★ 1 cited
Sparse random Fourier features based interatomic potentials for high entropy alloys
Gurjot Dhaliwal, Abu Anand, Prasanth B. Nair +1
Computational modeling of high entropy alloys (HEA) is challenging given the scalability issues of Density functional theory (DFT) and the non-availability of Interatomic potential…