8 citations · 24 across the 7 of their papers we have counts for
7 papers
Quantum-Inspired Optimization over Permutation Groups
Rathi Munukur, Bhaskar Roy Bardhan, Devesh Upadhyay +1
Quantum-inspired optimization (QIO) algorithms are computational techniques that emulate certain quantum mechanical effects on a classical hardware to tackle a class of optimizatio…
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models
Devesh Shah, Anirudh Suresh, Alemayehu Admasu +2
The evaluation of synthetic micro-structure images is an emerging problem as machine learning and materials science research have evolved together. Typical state of the art methods…
Real-Time Driver Monitoring Systems through Modality and View Analysis
Yiming Ma, Victor Sanchez, Soodeh Nikan +3
Driver distractions are known to be the dominant cause of road accidents. While monitoring systems can detect non-driving-related activities and facilitate reducing the risks, they…
BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training
Kaushik Balakrishnan, Devesh Upadhyay
The task of 2D human pose estimation is challenging as the number of keypoints is typically large (~ 17) and this necessitates the use of robust neural network architectures and tr…
Stochastic Adversarial Koopman Model for Dynamical Systems
Kaushik Balakrishnan, Devesh Upadhyay
Dynamical systems are ubiquitous and are often modeled using a non-linear system of governing equations. Numerical solution procedures for many dynamical systems have existed for s…
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations
Kirill Zubov, Zoe McCarthy, Yingbo Ma +11
Physics-informed neural networks (PINNs) are an increasingly powerful way to solve partial differential equations, generate digital twins, and create neural surrogates of physical…