Linh Tran

1. How Good is the Bayes Posterior in Deep Neural Networks Really?
   2020/02/06 by Florian Wenzel, Wenzel, Florian, Kevin A. Roth +17 · 15 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms
2. The k-tied Normal Distribution: A Compact Parameterization of Gaussian\n Mean Field Posteriors in Bayesian Neural Networks
   2020/02/07 by Jakub Świątkowski, Kevin A. Roth, Swiatkowski, Jakub +17 · 5 citations
   Computer Science · #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods
   2019/09/04 by Loc Tran, Linh Tran, Tran, Loc +1 · 1 citation
   Decision Sciences · #Stock Market Forecasting Methods
4. Cauchy-Schwarz Regularized Autoencoder
   2021/01/06 by Linh Tran, Maja Pantić, Tran, Linh +3 · 1 citation
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Face recognition and analysis #Bayesian Methods and Mixture Models
5. Noise-robust classification with hypergraph neural network
   2021/02/03 by Nguyen Trinh Vu Dang, Dang, Nguyen Trinh Vu, Loc Tran +3 · 1 citation
   Computer Science · #68Txx #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies
6. PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy
   2025/01/23 by Linh Tran, Tran, Linh, Timothy Castiglia +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data