51 citations · 106 across the 4 of their papers we have counts for
4 papers
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro
A fundamental challenge in physics-informed machine learning (PIML) is the design of robust PIML methods for out-of-distribution (OOD) forecasting tasks. These OOD tasks require le…
Training a quantum annealing based restricted Boltzmann machine on cybersecurity data
Vivek Dixit, Raja Selvarajan, Tamer Aldwairi +5
We present a real-world application that uses a quantum computer. Specifically, we train a RBM using QA for cybersecurity applications. The D-Wave 2000Q has been used to implement…
Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q
Vivek Dixit, Raja Selvarajan, Muhammad A. Alam +2
Restricted Boltzmann Machine (RBM) is an energy based, undirected graphical model. It is commonly used for unsupervised and supervised machine learning. Typically, RBM is trained u…
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam +14
Cyberphysical systems (CPS) are ubiquitous in our personal and professional lives, and they promise to dramatically improve micro-communities (e.g., urban farms, hospitals), macro-…