Jonathan Dong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Asymptotic Stability

Light Scattering

Reservoir Computing

Top Venues

Publications

Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang Ni
Detection and Positive Reconstruction of Cognitive Distortion sentences: Mandarin Dataset and Evaluation. CoRR (2024)
Giuseppe Alessio D'Inverno, Jonathan Dong
Extension of Recurrent Kernels to different Reservoir Computing topologies. CoRR (2024)
Shuya Lin, Yuxiong Wang, Jonathan Dong, Shiguang Ni
Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation. ACL (Findings) (2024)
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) (2023)
Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. CoRR (2023)
Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. IEEE Trans. Computational Imaging 8 (2022)
Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser
Asymptotic Stability in Reservoir Computing. CoRR (2022)
Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors. CoRR (2022)
Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser
Asymptotic Stability in Reservoir Computing. IJCNN (2022)
Mushegh Rafayelyan, Jonathan Dong, Yongqi Tan, Florent Krzakala, Sylvain Gigan
Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction. CoRR (2020)
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala
Reservoir Computing meets Recurrent Kernels and Structured Transforms. NeurIPS (2020)
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)
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala
Reservoir Computing meets Recurrent Kernels and Structured Transforms. CoRR (2020)
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 (2019)
Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan
Optical Reservoir Computing using multiple light scattering for chaotic systems prediction. CoRR (2019)
Jonathan Dong, Florent Krzakala, Sylvain Gigan
Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media. ICASSP (2019)
Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
Scaling Up Echo-State Networks With Multiple Light Scattering. SSP (2018)
Jonathan Dong, Sylvain Gigan, Florent Krzakala, Gilles Wainrib
Scaling up Echo-State Networks with multiple light scattering. CoRR (2016)
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 (2015)