Jonathan Dong

25 papers A* 1B 1Misc 3Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparison of Reservoir Computing topologies using the Recurrent Kernel approach.
Neurocomputing
Giuseppe Alessio D'Inverno, Jonathan Dong
2025 J jnl
DeepInverse: A Python package for solving imaging inverse problems with deep learning.
J. Open Source Softw.
Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm
2025 J jnl
Phasebook: A Survey of Selected Open Problems in Phase Retrieval.
CoRR
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, Viktor Nikitin, Gerlind Plonka, Palina Salanevich, Matthias Wellershoff
2025 J jnl
Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects.
CoRR
Giuseppe Alessio D'Inverno, Zhiyuan Hu, Leo Davy, Michael Unser, Gianluigi Rozza, Jonathan Dong
2025 Misc conf
Structured Random Model for Fast and Robust Phase Retrieval.
ICASSP
Zhiyuan Hu, Julián Tachella, Michael Unser, Jonathan Dong
2025 J jnl
Undersampled Phase Retrieval with Image Priors.
CoRR
Stanislas Ducotterd, Zhiyuan Hu, Michael Unser, Jonathan Dong
2024 — conf
Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation.
ACL (Findings)
Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang Ni
2024 J jnl
Detection and Positive Reconstruction of Cognitive Distortion sentences: Mandarin Dataset and Evaluation.
CoRR
Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang Ni
2024 J jnl
Extension of Recurrent Kernels to different Reservoir Computing topologies.
CoRR
Giuseppe Alessio D'Inverno, Jonathan Dong
2023 J jnl
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration.
CoRR
Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser
2023 J jnl
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial.
IEEE Signal Process. Mag.
Jonathan Dong, Lorenzo Valzania, Antoine Maillard, Thanh-An Pham, Sylvain Gigan, Michael Unser
2022 B conf
Asymptotic Stability in Reservoir Computing.
IJCNN
Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser
2022 J jnl
Asymptotic Stability in Reservoir Computing.
CoRR
Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser
2022 J jnl
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors.
IEEE Trans. Computational Imaging
Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser
2022 J jnl
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors.
CoRR
Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser
2020 Misc conf
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units.
ICASSP
Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
2020 J jnl
Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction.
CoRR
Mushegh Rafayelyan, Jonathan Dong, Yongqi Tan, Florent Krzakala, Sylvain Gigan
2020 A* conf
Reservoir Computing meets Recurrent Kernels and Structured Transforms.
NeurIPS
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala
2020 J jnl
Reservoir Computing meets Recurrent Kernels and Structured Transforms.
CoRR
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala
2019 J jnl
Kernel computations from large-scale random features obtained by Optical Processing Units.
CoRR
Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
2019 J jnl
Optical Reservoir Computing using multiple light scattering for chaotic systems prediction.
CoRR
Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan
2019 Misc conf
Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media.
ICASSP
Jonathan Dong, Florent Krzakala, Sylvain Gigan
2018 — conf
Scaling Up Echo-State Networks With Multiple Light Scattering.
SSP
Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
2016 J jnl
Scaling up Echo-State Networks with multiple light scattering.
CoRR
Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
2015 J jnl
Experimental robustness of Fourier Ptychography phase retrieval algorithms.
CoRR
Li-Hao Yeh, Jonathan Dong, Jingshan Zhong, Lei Tian, Michael Chen, Gongguo Tang, Mahdi Soltanolkotabi, Laura Waller