Experimental robustness of Fourier Ptychography phase retrieval algorithms. - Li-Hao Yeh; Jonathan Dong; Jingshan Zhong; Lei Tian 005; Michael Chen; Gongguo Tang; Mahdi Soltanolkotabi; Laura Waller (CoRR, 2015)

Scaling Up Echo-State Networks With Multiple Light Scattering. - Jonathan Dong; Sylvain Gigan; Florent Krzakala; Gilles Wainrib (SSP, 2018)

Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media. - Jonathan Dong; Florent Krzakala; Sylvain Gigan (ICASSP, 2019)

Optical Reservoir Computing using multiple light scattering for chaotic systems prediction. - Jonathan Dong; Mushegh Rafayelyan; Florent Krzakala; Sylvain Gigan (CoRR, 2019)

Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. - Ruben Ohana; Jonas Wacker; Jonathan Dong; Sébastien Marmin; Florent Krzakala; Maurizio Filippone; Laurent Daudet (ICASSP, 2020)

Reservoir Computing meets Recurrent Kernels and Structured Transforms. - Jonathan Dong; Ruben Ohana; Mushegh Rafayelyan; Florent Krzakala (NeurIPS, 2020)

Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction. - Mushegh Rafayelyan; Jonathan Dong; Yongqi Tan; Florent Krzakala; Sylvain Gigan (CoRR, 2020)

Asymptotic Stability in Reservoir Computing. - Jonathan Dong; Erik Börve; Mushegh Rafayelyan; Michael Unser (IJCNN, 2022)

Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. - Pakshal Bohra; Thanh-An Pham; Jonathan Dong; Michael Unser (IEEE Trans. Computational Imaging, 2022)

Dataset provided with "Artifacts in Optical Projection Tomography Due to Refractive-Index Mismatch: Model and Correction". - Yan Liu 059; Jonathan Dong; Cédric Schmidt; Aleix Boquet-Pujadas; Jérôme Extermann; Michael Unser (Zenodo, 2022)

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. - Yan Liu 059; Jonathan Dong; Thanh-An Pham; François Marelli; Michael Unser (Zenodo, 2022)

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. - Yan Liu 059; Jonathan Dong; Thanh-An Pham; François Marelli; Michael Unser (CoRR, 2023)

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial. - Jonathan Dong; Lorenzo Valzania; Antoine Maillard; Thanh-An Pham; Sylvain Gigan; Michael Unser (IEEE Signal Process. Mag., 2023)

Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation. - Shuya Lin; Yuxiong Wang; Jonathan Dong; Shiguang Ni (ACL (Findings), 2024)

Extension of Recurrent Kernels to different Reservoir Computing topologies. - Giuseppe Alessio D'Inverno; Jonathan Dong (CoRR, 2024)

Quantitative Unmixing in Photoswitching Optoacoustic Tomography. - Yan Liu 059; Jonathan Chuah; Andre C. Stiel; Michael Unser; Jonathan Dong (Zenodo, 2024)

Point-Spread-Function Engineering in MINFLUX: Optimality of Donut and Half-Moon Excitation Patterns. - Yan Liu 059; Jonathan Dong; Juan Augusto Maya; Francisco Balzarotti; Michael Unser (Zenodo, 2024)

Model-Based Temporal Unmixing Towards Quantitative Photo-switching Optoacoustic Tomography. - Yan Liu 059; Jonathan Chuah; Yishu Huang; Andre C. Stiel; Michael Unser; Jonathan Dong (Zenodo, 2024)

Structured Random Model for Fast and Robust Phase Retrieval. - Zhiyuan Hu; Julián Tachella; Michael Unser; Jonathan Dong (ICASSP, 2025)

Comparison of Reservoir Computing topologies using the Recurrent Kernel approach. - Giuseppe Alessio D'Inverno; Jonathan Dong (Neurocomputing, 2025)

Phasebook: A Survey of Selected Open Problems in Phase Retrieval. - Marc Allain; Selin Aslan; Wim Coene; Sjoerd Dirksen; Jonathan Dong; Julien Flamant; Mark A. Iwen; Felix Krahmer; Tristan van Leeuwen; Oleh Melnyk; Andreas Menzel; Allard P. Mosk; et al. (CoRR, 2025)

Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects. - Giuseppe Alessio D'Inverno; Zhiyuan Hu; Leo Davy; Michael Unser; Gianluigi Rozza; Jonathan Dong (CoRR, 2025)