Daryakenari, Nazanin Ahmadi
- From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
2024/10/17 by Toscano, Juan Diego, Oommen, Vivek, Varghese, Alan John +4 · 31 citations
#Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification
2023/09/29 by Nazanin Ahmadi Daryakenari, Mario De Florio, Daryakenari, Nazanin Ahmadi +5 · 8 citations
Biochemistry, Genetics and Molecular Biology · #Gene Regulatory Network Analysis #Protein Structure and Dynamics #Metabolomics and Mass Spectrometry Studies
- State-space models are accurate and efficient neural operators for dynamical systems
2024/09/05 by Hu, Zheyuan, Daryakenari, Nazanin Ahmadi, Shen, Qianli +2 · 6 citations
#Dynamical Systems (math.DS) #F.2.2 #FOS: Computer and information sciences #FOS: Mathematics #I.2.7 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
2024/09/19 by Daryakenari, Nazanin Ahmadi, Wang, Shupeng, Karniadakis, George · 1 citation
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology
2025/04/10 by Daryakenari, Nazanin Ahmadi, Shukla, Khemraj, Karniadakis, George Em · 2 citations
#35R30 (Primary) #65M32 #92C50 (Secondary) #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #G.1.10 #G.1.7 #I.2.6 #Quantitative Methods (q-bio.QM)