Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging. - Jan Christian Hauffen; Linh Kästner; Samim Ahmadi; Peter Jung 001; Giuseppe Caire; Mathias Ziegler (Sensors, 2022)

Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging. - Samim Ahmadi; Linh Kästner; Jan Christian Hauffen; Peter Jung 001; Mathias Ziegler (IEEE Trans. Instrum. Meas., 2022)

Variational Autoencoder-Based Parameter Estimation in Beam-Space OFDM Integrated Sensing and Communication. - Saeid K. Dehkordi; Jan Christian Hauffen; Fabian Jaensch; Peter Jung 001; Giuseppe Caire (GLOBECOM, 2023)

Extended Target Parameter Estimation and Tracking with an HDA Setup for ISAC Applications. - Fernando Pedraza; Saeid K. Dehkordi; Jan Christian Hauffen; Shuangyang Li; Peter Jung 001; Giuseppe Caire (GLOBECOM (Workshops), 2023)

Hierarchical Soft-Thresholding for Parameter Estimation in Beam-Space OTFS Integrated Sensing and Communication. - Saeid K. Dehkordi; Jan Christian Hauffen; Peter Jung 001; Giuseppe Caire (ICC, 2023)

A physics-informed neural network framework for modeling obstacle-related equations. - Hamid El Bahja; Jan Christian Hauffen; Peter Jung 001; Bubacarr Bah; Issa Karambal (CoRR, 2023)

Algorithm unfolding for block-sparse and MMV problems with reduced training overhead. - Jan Christian Hauffen; Peter Jung 001; Nicole Mücke (Frontiers Appl. Math. Stat., 2023)

Demucs for Data-Driven RF Signal Denoising. - Çagkan Yapar; Fabian Jaensch; Jan Christian Hauffen; Francesco Pezone; Peter Jung 001; Saeid K. Dehkordi; Giuseppe Caire (ICASSP Workshops, 2024)

A Deep Unfolding-Based Scalarization Approach for Power Control in D2D Networks. - Jan Christian Hauffen; Peter Jung 001; Giuseppe Caire (CoRR, 2024)

Deep Unfolding of Fixed-Point Based Algorithm for Weighted Sum Rate Maximization. - Jan Christian Hauffen; Chee Wei Tan 001; Giuseppe Caire (CoRR, 2025)