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Probabilistic Model Incorporating Auxiliary Covariates to Control FDR


Oct 06, 2022
Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli

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* Short Version of NeurT-FDR, accepted at CIKM 2022. arXiv admin note: substantial text overlap with arXiv:2101.09809 

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Taming the sign problem of explicitly antisymmetrized neural networks via rough activation functions


May 24, 2022
Nilin Abrahamsen, Lin Lin

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Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits


Mar 30, 2022
Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying

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Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model


Feb 15, 2022
Ying Shen, Huiyu Yang, Lin Lin

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Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation


Dec 07, 2021
Jeffmin Lin, Gil Goldshlager, Lin Lin

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* 33 pages, 14 figures 

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Integrative Clustering of Multi-View Data by Nonnegative Matrix Factorization


Oct 25, 2021
Shuo Shuo Liu, Lin Lin

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Mixture of Linear Models Co-supervised by Deep Neural Networks


Aug 05, 2021
Beomseok Seo, Lin Lin, Jia Li

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* Submitted to Journal of Computational and Graphical Statistics on April 19, 2021 

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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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