GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science. - Chenxi Wu; Alan John Varghese; Vivek Oommen; George Em Karniadakis (CoRR, 2023)

SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification. - Alan John Varghese; Zhen Zhang 029; George Em Karniadakis (CoRR, 2024)

From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning. - Juan Diego Toscano; Vivek Oommen; Alan John Varghese; Zongren Zou; Nazanin Ahmadi Daryakenari; Chenxi Wu; George Em Karniadakis (CoRR, 2024)

A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers. - Ashish Parmanand Pandey; Alan John Varghese; Sarang Patil; Mengjia Xu (CoRR, 2024)

TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers. - Alan John Varghese; Aniruddha Bora; Mengjia Xu; George Em Karniadakis (Neural Networks, 2024)

SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classification. - Alan John Varghese; Zhen Zhang 029; George Em Karniadakis (Neural Networks, 2025)

Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions. - Qianying Cao; Shanqing Liu; Alan John Varghese; Jérôme Darbon; Michael S. Triantafyllou; George Em Karniadakis (CoRR, 2025)