Varghese, Alan John

1. From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
   2024/10/17 by Juan Diego Toscano, Toscano, Juan Diego, Vivek Oommen +11 · 40 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
2. TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
   2023/07/05 by Alan John Varghese, Aniruddha Bora, Varghese, Alan John +5 · 3 citations
   Computer Science · Physics and Astronomy · Psychology · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Mental Health Research Topics
3. SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification
   2024/08/29 by Varghese, Alan John, Zhang, Zhen, Karniadakis, George Em · 3 citations
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
4. GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science
   2023/12/05 by Chenxi Wu, Wu, Chenxi, Alan John Varghese +5 · 2 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
5. A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
   2024/12/15 by Alan John Varghese, Pandey, Ashish Parmanand, Varghese, Alan John +4 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
6. Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions
   2025/01/21 by Cao, Qianying, Liu, Shanqing, Varghese, Alan John +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)