math.FA

Papers

• Grid-Based Decimation for Wavelet Transforms with Stably Invertible Implementation (2023)
  Nicki Holighaus et al.
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• Fitting Auditory Filterbanks with Multiresolution Neural Networks (2024)
  Vincent Lostanlen et al.
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• On a time-frequency blurring operator with applications in data augmentation (2025)
  Simon Halvdansson
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• Continuous Boostlet Transform and Associated Uncertainty Principles (2025)
  Owais Ahmad et al.
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• Horizon Activation Mapping for Neural Networks in Time Series Forecasting (2026)
  Krupakar Hans et al.
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• Any-Dimensional Invariant Universality (2026)
  Shengtai Yao et al.
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• Wasserstein Contraction of Coordinate Ascent Variational Inference (2026)
  Rocco Caprio et al.
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