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JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints


Nov 24, 2021
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik


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Group-disentangled Representation Learning with Weakly-Supervised Regularization


Oct 23, 2021
Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari


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Cauchy-Schwarz Regularized Autoencoder


Feb 12, 2021
Linh Tran, Maja Pantic, Marc Peter Deisenroth


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Noise-robust classification with hypergraph neural network


Feb 03, 2021
Nguyen Trinh Vu Dang, Loc Tran, Linh Tran

* 9 page, 1 figure 

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The Medical Scribe: Corpus Development and Model Performance Analyses


Mar 12, 2020
Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yuhui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul

* Proceedings of Language Resources and Evaluation, 2020 
* Extended version of the paper accepted at LREC 2020 

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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks


Feb 07, 2020
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin


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How Good is the Bayes Posterior in Deep Neural Networks Really?


Feb 06, 2020
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Świątkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin


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Hydra: Preserving Ensemble Diversity for Model Distillation


Jan 14, 2020
Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton


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To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods


Sep 04, 2019
Loc Tran, Linh Tran

* 11 pages 

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Learning to Infer Entities, Properties and their Relations from Clinical Conversations


Aug 30, 2019
Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran

* Proc. Empirical Methods in Natural Language Processing, 2019 

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Solve fraud detection problem by using graph based learning methods


Aug 29, 2019
Loc Tran, Tuan Tran, Linh Tran, An Mai

* 9 pages. arXiv admin note: substantial text overlap with arXiv:1811.02986 

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Extracting Symptoms and their Status from Clinical Conversations


Jun 05, 2019
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran

* Proceedings of the Annual Meeting of the Association of Computational Linguistics, 2019 

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GAGAN: Geometry-Aware Generative Adversarial Networks


Mar 27, 2018
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic


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The Generalized Mean Information Coefficient


Aug 26, 2013
Alexander Luedtke, Linh Tran


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