Antzeko izenburuak

• Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples
  nork: Kratsios, Anastasis
  Argitaratua: (2026)
• Beyond Universal Approximation Theorems: Algorithmic Uniform Approximation by Neural Networks Trained with Noisy Data
  nork: Kratsios, Anastasis, et al.
  Argitaratua: (2025)
• Transformers Can Solve Non-Linear and Non-Markovian Filtering Problems in Continuous Time For Conditionally Gaussian Signals
  nork: Horvath, Blanka, et al.
  Argitaratua: (2023)
• Higher-Order Transformer Derivative Estimates for Explicit Pathwise Learning Guarantees
  nork: Limmer, Yannick, et al.
  Argitaratua: (2024)
• Efficient Approximation to Analytic and $L^p$ functions by Height-Augmented ReLU Networks
  nork: Li, ZeYu, et al.
  Argitaratua: (2026)