1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CE2025★ 1 cited
Fourier Neural Operators for Structural Dynamics Models: Challenges, Limitations and Advantages of Using a Spectrogram Loss
Rad Haghi, Bipin Gaikwad, Abani Patra
Fourier Neural Operators (FNOs) have emerged as promising surrogates for partial differential equation solvers. In this work, we extensively tested FNOs on a variety of systems wit…
eess.SP2025
On Multi-entity, Multivariate Quickest Change Point Detection
Bahar Kor, Bipin Gaikwad, Abani Patra +1
We propose a framework for online Change Point Detection (CPD) from multi-entity, multivariate time series data, motivated by applications in crowd monitoring where traditional sen…
physics.app-ph2021
Semi-supervised physics guided deep learning framework for predicting the I-V characteristics of GAN HEMT
Shivanshu Mishra, Bipin Gaikwad, Nidhi Chaturvedi
This letter proposes a novel deep learning framework (DLF) that addresses two major hurdles in the adoption of deep learning techniques for solving physics-based problems: 1) requi…