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Jiahe Lin
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2020 – today
- 2024
- [j7]Jiahe Lin, Huitian Lei, George Michailidis:
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. Trans. Mach. Learn. Res. 2024 (2024) - [i1]Jiahe Lin, Huitian Lei, George Michailidis:
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. CoRR abs/2402.16131 (2024) - 2023
- [j6]Jiahe Lin
:
"Kaleidoscope Eyes": The Exploration of a Sense of Place Through Art Strolling in Mozilla Hubs. Int. J. Emerg. Technol. Learn. 18(9): 268-274 (2023) - [c1]Yikai Zhang, Jiahe Lin
, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka:
Risk Bounds on Aleatoric Uncertainty Recovery. AISTATS 2023: 6015-6036 - 2022
- [j5]Enlai Zhang
, Jiading Lian, Jingjing Zhang, Jiahe Lin:
Nonlinear modeling and prediction of forklift acoustic annoyance based on the improved neural networks. Simul. 98(7): 615-624 (2022) - 2020
- [j4]Jiahe Lin, George Michailidis:
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models. J. Mach. Learn. Res. 21: 117:1-117:51 (2020) - [j3]Jiahe Lin
, George Michailidis
:
System Identification of High-Dimensional Linear Dynamical Systems With Serially Correlated Output Noise Components. IEEE Trans. Signal Process. 68: 5573-5587 (2020)
2010 – 2019
- 2017
- [j2]Jiahe Lin, George Michailidis:
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models. J. Mach. Learn. Res. 18: 117:1-117:49 (2017) - 2016
- [j1]Jiahe Lin, Sumanta Basu, Moulinath Banerjee, George Michailidis:
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models. J. Mach. Learn. Res. 17: 146:1-146:51 (2016)
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last updated on 2024-08-10 00:33 CEST by the dblp team
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