Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Reliable recovery of hierarchically sparse signals and application in machine-type communications. - Ingo Roth; Martin Kliesch; Gerhard Wunder; Jens Eisert (CoRR, 2016)

HiHTP: A custom-tailored hierarchical sparse detector for massive MTC. - Gerhard Wunder; Ingo Roth; Rick Fritschek; Jens Eisert (ACSSC, 2017)

Hierarchical restricted isometry property for Kronecker product measurements. - Ingo Roth; Axel Flinth; Richard Kueng; Jens Eisert; Gerhard Wunder (Allerton, 2018)

Secure massive IoT using hierarchical fast blind deconvolution. - Gerhard Wunder; Ingo Roth; Rick Fritschek; Benedikt Groß; Jens Eisert (WCNC Workshops, 2018)

Hierarchical Sparse Channel Estimation for Massive MIMO. - Gerhard Wunder; Ingo Roth; Mahdi Barzegar; Axel Flinth; Saeid Haghighatshoar; Giuseppe Caire; Gitta Kutyniok (WSA, 2018)

Recovering quantum gates from few average gate fidelities. - Ingo Roth; Richard Kueng; Shelby Kimmel; Yi-Kai Liu 001; David Gross 003; Jens Eisert; Martin Kliesch (CoRR, 2018)

Performance of Hierarchical Sparse Detectors for Massive MTC. - Gerhard Wunder; Ingo Roth; Rick Fritschek; Jens Eisert (CoRR, 2018)

Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO. - Gerhard Wunder; Stelios Stefanatos; Axel Flinth; Ingo Roth; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2019)

Tensor network approaches for learning non-linear dynamical laws. - Alex Goeßmann; M. Götte; Ingo Roth; Ryan Sweke; Gitta Kutyniok; Jens Eisert (CoRR, 2020)

Hierarchical sparse recovery from hierarchically structured measurements. - Benedikt Groß; Axel Flinth; Ingo Roth; Jens Eisert; Gerhard Wunder (CoRR, 2020)

Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements. - Ingo Roth; Martin Kliesch; Axel Flinth; Gerhard Wunder; Jens Eisert (IEEE Trans. Signal Process., 2020)

Hierarchical Sparse Recovery from Hierarchically Structured Measurements with Application to Massive Random Access. - Benedikt Groß; Axel Flinth; Ingo Roth; Jens Eisert; Gerhard Wunder (SSP, 2021)

Hierarchical compressed sensing. - Jens Eisert; Axel Flinth; Benedikt Groß; Ingo Roth; Gerhard Wunder (CoRR, 2021)

Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction. - Axel Flinth; Ingo Roth; Benedikt Groß; Jens Eisert; Gerhard Wunder (CoRR, 2021)

Scalably learning quantum many-body Hamiltonians from dynamical data. - Frederik Wilde; Augustine Kshetrimayum; Ingo Roth; Dominik Hangleiter; Ryan Sweke; Jens Eisert (CoRR, 2022)

Bisparse Blind Deconvolution through Hierarchical Sparse Recovery. - Axel Flinth; Ingo Roth; Gerhard Wunder (CoRR, 2022)

Semi-device-dependent blind quantum tomography. - Ingo Roth; Jadwiga Wilkens; Dominik Hangleiter; Jens Eisert (Quantum, 2023)

Closed-form analytic expressions for shadow estimation with brickwork circuits. - Mirko Arienzo; Markus Heinrich; Ingo Roth; Martin Kliesch (Quantum Inf. Comput., 2023)

Qibolab: an open-source hybrid quantum operating system. - Stavros Efthymiou; Alvaro Orgaz-Fuertes; Rodolfo Carobene; Juan Cereijo; Andrea Di Pasquale; Sergi Ramos-Calderer; Simone Bordoni; David Fuentes-Ruiz; Alessandro Candido; Edoardo Pedicillo; Matteo Robbiati; Yuanzheng Paul Tan; et al. (Quantum, 2024)