8th International Conference on
Computational Harmonic Analysis

September 12-16, 2022

Ingolstadt, Germany

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Invited talks (to be completed as talk titles are submitted)

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(ordered by name)
  1. "Lipschitz Embeddings and Riemannian Properties of Spaces of Low-Rank Symmetric Matrices"
    Balan, Radu

  2. "Representation of Operators Using Fusion Frames"
    Balazs, Peter

  3. "Super-resolution of sparse measures: recent extensions"
    Batenkov, Dmitry

  4. "Harmonic Grassmannian codes"
    Fickus, Matthew

  5. "Convergent SDP-hierarchies for causal optimization"
    Gross, David

  6. "Adversarial robustness of sparse local Lipschitz predictors"
    Sulam, Jeremias

Contributed talks and posters

show abstracts?
(ordered by name)
  1. "New Properties of Clifford Prolate Spheroidal Wave Functions (CPSWFs)"
    Baghal Ghaffari, Hamed

  2. "Frames via Unilateral Iterations of Bounded Operators"
    Bailey, Victor

  3. "Graph signal processing and wavelet packets"
    Bulai, Iulia Martina

  4. "Complementable and hierarchical Riesz bases of exponentials"
    Caragea, Andrei

  5. "Off-the-Grid Estimation of Singular Measures"
    Catala, Paul

  6. "Implicitly Regularized Empirical Risk Minimization"
    Chou, Hung-Hsu

  7. "Effective deep neural network architectures for learning high-dimensional Banach-valued functions from limited data"
    Dexter, Nick

  8. "Marcinkiewicz averages of smooth orthogonal projections on sphere"
    Dziedziul, Karol

  9. "Split-and-Merge Segmentation based on Graph Wedgelets"
    Erb, Wolfgang

  10. "A simplified approach to Fourier multipliers using the Banach Gelfand Triple"
    Feichtinger, Hans G.

  11. "Sample complexity of ill-posed inverse problems via compressed sensing"
    Felisi, Alessandro

  12. "Hisparse Solution of Bisparse Deconvolution"
    Flinth, Axel

  13. "Limitations of Deep Learning for Inverse Problems on Digital Hardware"
    Fono, Adalbert

  14. "Frame theory and Phase Retrieval"
    Ghoreishi, Dorsa

  15. "Symbol recovery for localization operators"
    Halvdansson, Simon

  16. "Quaternionic wavelets for colour images"
    Hogan, Jeffrey

  17. "Marcinkiewicz--Zygmund inequalities for scattered and random data on the $q$-sphere"
    Jahn, Thomas

  18. "Quantization techniques for concentrated signals in the space of bandlimited functions"
    Joy, Rohan

  19. "Exponential decay of scattering neural networks with tensor wavelet frames"

  20. "On regularized Shannon sampling formulas with localized sampling"
    Kircheis, Melanie

  21. "A Neural Network Explainer in the Wavelet Domain"
    Kolek, Stefan

  22. "Deep unfolding for analysis Compressed Sensing: does redundancy affect the generalization ability?"
    Kouni, Vasiliki

  23. "Unions of exponential Riesz bases"
    Lee, Dae Gwan

  24. "Fundamental discretization barriers in STFT phase retrieval"
    Liehr, Lukas

  25. "Using transformations to generalize approximation operators for periodic functions"
    Lippert, Laura

  26. "Covariance Estimation under One-bit Quantization"
    Maly, Johannes

  27. "Local approximation by eignets"
    Mao, Tong

  28. "Stability and Generalization Capabilities of Message Passing Graph Neural Networks"
    Maskey, Sohir

  29. "On convergence of Ptychographic Iterative Engine for STFT phase retrieval"
    Melnyk, Oleh

    Navneet, Navneet

  31. "Fourier Reconstruction in Diffraction Tomography"
    Quellmalz, Michael

  32. "Convergence Guarantees for Dynamical Neural Network Policy Learning"
    Rawson, Michael

  33. "Wirtinger flow type algorithms for low-dose phase retrieval"
    Römer, Patricia

  34. "Generalized Regular Sampling for Multiplication Invariant Subspaces"
    Sahil, Sahil

  35. "Multiplication Generated Duals of a Subspace Frame and its Applications"
    Sarkar, Sudipta

  36. "Discrete Radial Wavelets: Construction and Applications"

  37. "Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization"
    Seleznova, Mariia

  38. "Lipschitz Continuity of Spectra of Pseudodifferential Operators in a Weighted Sjöstrand Class"
    Speckbacher, Michael

  39. "Randomly Initialized Alternating Minimization: Fast Convergence in Low-Rank Matrix Recovery"
    Stöger, Dominik

  40. "A dimension-incremental approximation method for arbitrary bounded orthonormal product bases"
    Taubert, Fabian

  41. "Which neural networks can be computed by algorithms? - Expressivity meets Turing in Deep Learning"
    Thesing, Laura

  42. "Minimax rates for learning classification functions using neural networks"
    Voigtlaender, Felix

  43. "Exponential bases for partitions of intervals"
    Walnut, David

  44. "Framelet Message Passing: GNNs Propagation with Multiscale Multi-hop Representation and No Oversmoothing"
    Wang, Yuguang