7 citations · 11 across the 7 of their papers we have counts for
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quant-ph2024★ 2 cited
Input-Output Optics as a Causal Time Series Mapping: A Generative Machine Learning Solution
Abhijit Sen, Bikram Keshari Parida, Kurt Jacobs +1
The response of many-body quantum systems to an optical pulse can be extremely challenging to model. Here we explore the use of neural networks, both traditional and generative, to…
cs.LG2024★ 7 cited
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
Subhajit Patra, Sonali Panda, Bikram Keshari Parida +4
Physics-informed neural networks have proven to be a powerful tool for solving differential equations, leveraging the principles of physics to inform the learning process. However,…