Physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics

Ähnliche Einträge

• Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
  von: Adcock, Ben, et al.
  Veröffentlicht: (2022)
• Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks
  von: Adcock, Ben, et al.
  Veröffentlicht: (2024)
• A practical existence theorem for reduced order models based on convolutional autoencoders
  von: Franco, Nicola Rares, et al.
  Veröffentlicht: (2024)
• The greedy side of the LASSO: New algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit
  von: Mohammad-Taheri, Sina, et al.
  Veröffentlicht: (2023)
• Optimal deep learning of holomorphic operators between Banach spaces
  von: Adcock, Ben, et al.
  Veröffentlicht: (2024)