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Filters for ISI Suppression in Molecular Communication via Diffusion

Apr 29, 2021
Ruifeng Zheng, Lin Lin, Hao Yan

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NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy

Jan 24, 2021
Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli

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Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks

Dec 12, 2020
Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov

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Efficient Long-Range Convolutions for Point Clouds

Oct 11, 2020
Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez

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Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving

Oct 07, 2020
Jiahao Yao, Lin Lin, Marin Bukov

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Deep Latent Variable Model for Longitudinal Group Factor Analysis

May 11, 2020
Lin Qiu, Vernon M. Chinchilli, Lin Lin

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Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack

Feb 24, 2020
Jiefu Zhang, Leonardo Zepeda-Núñez, Yuan Yao, Lin Lin

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Policy Gradient based Quantum Approximate Optimization Algorithm

Feb 04, 2020
Jiahao Yao, Marin Bukov, Lin Lin

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Deep Variable-Block Chain with Adaptive Variable Selection

Dec 07, 2019
Lixiang Zhang, Lin Lin, Jia Li

* 24 pages, 5 figures 

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Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks

Nov 27, 2019
Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin

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Explaining Deep Learning Models - A Bayesian Non-parametric Approach

Nov 07, 2018
Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin

* In Proceedings of the 32nd Conference on Neural Information Processing Systems. arXiv admin note: text overlap with arXiv:1705.08564 

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Towards Interrogating Discriminative Machine Learning Models

May 23, 2017
Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing

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A General Model for Robust Tensor Factorization with Unknown Noise

May 18, 2017
Xi'ai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang

* 13 pages, 8 figures 

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Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks

Dec 13, 2016
Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong

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