Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm. - Héctor Andrade-Loarca; Gitta Kutyniok; Ozan Öktem (CoRR, 2019)

Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks. - Héctor Andrade-Loarca; Gitta Kutyniok; Ozan Öktem; Philipp Petersen (SIAM J. Imaging Sci., 2019)

tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning. - Héctor Andrade-Loarca; Gitta Kutyniok (CoRR, 2020)

Deep Microlocal Reconstruction for Limited-Angle Tomography. - Héctor Andrade-Loarca; Gitta Kutyniok; Ozan Öktem; Philipp Petersen (CoRR, 2021)

CoShNet: A Hybird Complex Valued Neural Network using Shearlets. - Manny Ko; Ujjawal K. Panchal; Héctor Andrade-Loarca; Andres Mendez-Vazquez (CoRR, 2022)

Applied microlocal analysis of deep neural networks for inverse problems. - Héctor Andrade-Loarca (2022)

Explaining Image Classifiers with Multiscale Directional Image Representation. - Stefan Kolek; Robert Windesheim; Héctor Andrade-Loarca; Gitta Kutyniok; Ron Levie (CVPR, 2023)

PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators. - Héctor Andrade-Loarca; Julius Hege; Aras Bacho; Gitta Kutyniok (CoRR, 2023)

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. - Stefan Kolek; Aditya Chattopadhyay; Kwan Ho Ryan Chan; Héctor Andrade-Loarca; Gitta Kutyniok; René Vidal (CoRR, 2023)

Algebraic Nexus of Fibonacci Forms and Two-Simplex Topology in Multicellular Morphogenesis. - William E. Butler Hoyos; Héctor Andrade-Loarca; Kristopher T. Kahle; Ziv Williams; Elizabeth G. Lamb; Julio Alcántara; Thomas Bernard Kinane; Luis Jesús Turcio Cuevas (Symmetry, 2024)