Howard, Amanda A.

1. Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks
   2024/06/28 by Chen, Wenqian, Howard, Amanda A., Stinis, Panos · 8 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks
   2024/11/09 by Bruno Jacob, Jacob, Bruno, Amanda A. Howard +3 · 4 citations
   Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
3. Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems
   2024/06/28 by Howard, Amanda A., Jacob, Bruno, Helfert, Sarah +2 · 3 citations
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
4. A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling
   2023/01/26 by He, QiZhi, Perego, Mauro, Howard, Amanda A. +2 · 2 citations
   #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG)
5. Multifidelity Kolmogorov-Arnold Networks
   2024/10/18 by Amanda A. Howard, Howard, Amanda A., Bruno Jacob +3 · 3 citations
   Computer Science · #Cognitive Computing and Networks #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
6. Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems
   2024/01/15 by Alexander Heinlein, Heinlein, Alexander, Amanda A. Howard +5 · 1 citation
   Computer Science · Materials Science · Physics and Astronomy · #65M22 #65M55 #68T07 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Magnetic Properties and Applications #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
7. E-PINNs: Epistemic Physics-Informed Neural Networks
   2025/03/25 by Jacob, Bruno, Nair, Ashish S., Howard, Amanda A. +2 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
8. Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning
   2025/04/21 by Mollaali, Amirhossein, Moya, Christian Bolivar, Howard, Amanda A. +3 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)