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2020 – today
- 2025
[j3]Giuseppe Alessio D'Inverno
, Jonathan Dong:
Comparison of Reservoir Computing topologies using the Recurrent Kernel approach. Neurocomputing 611: 128679 (2025)- [c7]Zhiyuan Hu, Julián Tachella, Michael Unser, Jonathan Dong:
Structured Random Model for Fast and Robust Phase Retrieval. ICASSP 2025: 1-5 - [i14]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:
Phasebook: A Survey of Selected Open Problems in Phase Retrieval. CoRR abs/2505.15351 (2025) - [i13]Giuseppe Alessio D'Inverno, Zhiyuan Hu, Leo Davy, Michael Unser, Gianluigi Rozza, Jonathan Dong:
Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects. CoRR abs/2508.03222 (2025) - [i12]Stanislas Ducotterd, Zhiyuan Hu, Michael Unser, Jonathan Dong:
Undersampled Phase Retrieval with Image Priors. CoRR abs/2509.15026 (2025) - 2024
- [c6]Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang Ni:
Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation. ACL (Findings) 2024: 6686-6701 - [d5]Yan Liu, Jonathan Chuah, Andre C. Stiel, Michael Unser, Jonathan Dong:
Quantitative Unmixing in Photoswitching Optoacoustic Tomography. Version 1. Zenodo, 2024 [all versions]
- [d4]Yan Liu, Jonathan Chuah, Yishu Huang, Andre C. Stiel, Michael Unser, Jonathan Dong:
Model-Based Temporal Unmixing Towards Quantitative Photo-switching Optoacoustic Tomography. Version 2. Zenodo, 2024 [all versions] - [d3]Yan Liu, Jonathan Dong, Juan Augusto Maya, Francisco Balzarotti, Michael Unser:
Point-Spread-Function Engineering in MINFLUX: Optimality of Donut and Half-Moon Excitation Patterns. Zenodo, 2024 - [i11]Giuseppe Alessio D'Inverno, Jonathan Dong:
Extension of Recurrent Kernels to different Reservoir Computing topologies. CoRR abs/2401.14557 (2024) - [i10]Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang Ni:
Detection and Positive Reconstruction of Cognitive Distortion sentences: Mandarin Dataset and Evaluation. CoRR abs/2405.15334 (2024) - 2023
- [j2]Jonathan Dong, Lorenzo Valzania, Antoine Maillard, Thanh-An Pham, Sylvain Gigan, Michael Unser:
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial. IEEE Signal Process. Mag. 40(1): 45-57 (2023) - [i9]Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser:
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. CoRR abs/2309.16677 (2023) - 2022
- [j1]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. IEEE Trans. Computational Imaging 8: 1237-1249 (2022) - [c5]Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser:
Asymptotic Stability in Reservoir Computing. IJCNN 2022: 1-8 - [d2]Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser:
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. Zenodo, 2022 - [d1]Yan Liu, Jonathan Dong, Cédric Schmidt, Aleix Boquet-Pujadas, Jérôme Extermann, Michael Unser:
Dataset provided with "Artifacts in Optical Projection Tomography Due to Refractive-Index Mismatch: Model and Correction". Zenodo, 2022 - [i8]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors. CoRR abs/2203.10078 (2022) - [i7]Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser:
Asymptotic Stability in Reservoir Computing. CoRR abs/2206.03854 (2022) - 2020
- [c4]Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet:
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. ICASSP 2020: 9294-9298 - [c3]Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala:
Reservoir Computing meets Recurrent Kernels and Structured Transforms. NeurIPS 2020 - [i6]Mushegh Rafayelyan, Jonathan Dong, Yongqi Tan, Florent Krzakala, Sylvain Gigan:
Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction. CoRR abs/2001.09131 (2020) - [i5]Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala:
Reservoir Computing meets Recurrent Kernels and Structured Transforms. CoRR abs/2006.07310 (2020)
2010 – 2019
- 2019
- [c2]Jonathan Dong, Florent Krzakala, Sylvain Gigan:
Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media. ICASSP 2019: 4963-4967 - [i4]Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan:
Optical Reservoir Computing using multiple light scattering for chaotic systems prediction. CoRR abs/1907.00657 (2019) - [i3]Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet:
Kernel computations from large-scale random features obtained by Optical Processing Units. CoRR abs/1910.09880 (2019) - 2018
- [c1]Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib:
Scaling Up Echo-State Networks With Multiple Light Scattering. SSP 2018: 448-452 - 2016
- [i2]Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib:
Scaling up Echo-State Networks with multiple light scattering. CoRR abs/1609.05204 (2016) - 2015
- [i1]Li-Hao Yeh, Jonathan Dong, Jingshan Zhong, Lei Tian, Michael Chen, Gongguo Tang, Mahdi Soltanolkotabi, Laura Waller:
Experimental robustness of Fourier Ptychography phase retrieval algorithms. CoRR abs/1511.02986 (2015)
Coauthor Index
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last updated on 2025-10-24 03:06 CEST by the dblp team
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