Kelshaw, Daniel

1. Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
   2022/10/31 by Kelshaw, Daniel, Rigas, Georgios, Magri, Luca · 2 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
2. Computing distances and means on manifolds with a metric-constrained Eikonal approach
   2024/04/12 by Kelshaw, Daniel, Magri, Luca · 2 citations
   #Computational Geometry (cs.CG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metric Geometry (math.MG)
3. Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach
   2023/06/07 by Daniel Kelshaw, Luca Magri, Kelshaw, Daniel +1 · 1 citation
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
4. Proper Latent Decomposition
   2024/12/01 by Daniel Kelshaw, Luca Magri, Kelshaw, Daniel +1 · 1 citation
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
5. Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations
   2024/01/18 by Daniel Kelshaw, Kelshaw, Daniel, Luca Magri +1 · 1 citation
   Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques