Linh Tran

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Topics

Robust Classification

Constrained Optimization

Top Venues

Publications

Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. CoRR (2024)
Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga
Generalizable Pose Estimation Using Implicit Scene Representations. ICRA (2023)
Linh Tran
Integration of neural network and distance relay to improve the fault localization on transmission lines. Turkish J. Electr. Eng. Comput. Sci. 31 (3) (2023)
Md Ferdous Alam, Yi Wang, Linh Tran, Chin-Yi Cheng, Jieliang Luo
Representation Learning for Sequential Volumetric Design Tasks. CoRR (2023)
Quang-Manh Bui, Linh Tran, Thanh Vo-Duy, Tuyen Vu, Bao-Huy Nguyen
Frequency Response of Grid-Forming and Following Inverters-Based Microgrid Supplied by Onshore Electrified Ships. IECON (2023)
Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga
Generalizable Pose Estimation Using Implicit Scene Representations. CoRR (2023)
Felix Albu, Linh Tran, S. Radhika, A. Chandrasekar
Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm. SSP (2023)
Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen
SimCURL: Simple Contrastive User Representation Learning from Command Sequences. CoRR (2022)
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS (2022)
Linh Tran, Maja Pantic, Marc Peter Deisenroth
Cauchy-Schwarz Regularized Autoencoder. J. Mach. Learn. Res. 23 (2022)
Linh Tran, Alessio Bonti, Lianhua Chi, Mohamed Abdelrazek, Yi-Ping Phoebe Chen
Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. Expert Syst. Appl. 203 (2022)
Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. PPSN (1) (2022)
Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen
SimCURL: Simple Contrastive User Representation Learning from Command Sequences. ICMLA (2022)
Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
COIL: Constrained Optimization in Learned Latent Space - Learning Representations for Valid Solutions. CoRR (2022)
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
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CVPR (2022)
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR (2022)
Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR (2022)
Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
COIL: Constrained optimization in learned latent space: learning representations for valid solutions. GECCO Companion (2022)
Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki
Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR (2021)
Nguyen Trinh Vu Dang, Loc Tran, Linh Tran
Noise-robust classification with hypergraph neural network. CoRR (2021)
Linh Tran, Maja Pantic, Marc Peter Deisenroth
Cauchy-Schwarz Regularized Autoencoder. CoRR (2021)
Linh Tran, Erick Velazquez Godinez, Robert-Jan Sips, Victor de Boer
Evaluating Medical Lexical Simplification: Rule-Based vs. BERT. MIE (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
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CoRR (2021)
Tuan Nguyen, Dat Ngo, Lam Pham, Linh Tran, Trang Hoang
A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. RIVF (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
The Medical Scribe: Corpus Development and Model Performance Analyses. CoRR (2020)
Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton
Hydra: Preserving Ensemble Diversity for Model Distillation. CoRR (2020)
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. CoRR (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
The Medical Scribe: Corpus Development and Model Performance Analyses. LREC (2020)
Linh Tran, Anshuman Mohan, Aquinas Hobor
A functional proof pearl: inverting the Ackermann hierarchy. CPP (2020)
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. ICML (2020)
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML (2020)
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
How Good is the Bayes Posterior in Deep Neural Networks Really? CoRR (2020)
Linh Tran, Jean Kossaifi, Yannis Panagakis, Maja Pantic
Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks. Int. J. Comput. Vis. 127 (6-7) (2019)
Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran
Learning to Infer Entities, Properties and their Relations from Clinical Conversations. CoRR (2019)
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran
Extracting Symptoms and their Status from Clinical Conversations. ACL (1) (2019)
Loc Tran, Linh Tran
To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. CoRR (2019)
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran
Extracting Symptoms and their Status from Clinical Conversations. CoRR (2019)
Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran
Learning to Infer Entities, Properties and their Relations from Clinical Conversations. EMNLP/IJCNLP (1) (2019)
Loc Tran, Tuan Tran, Linh Tran, An Mai
Solve fraud detection problem by using graph based learning methods. CoRR (2019)
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR (2018)
Linh Tran, Jan Treur, Denice J. Tuinhof
A Network-Oriented Adaptive Agent Model for Learning Regulation of a Highly Sensitive Person's Response. PAAMS (2018)
Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
GAGAN: Geometry-Aware Generative Adversarial Networks. CoRR (2017)
Linh Tran, Addison Gronquist, Marek A. Perkowski, John S. Caughman IV
An Improved Factorization Approach to Reversible Circuit Synthesis Based on EXORs of Products of EXORs. ISMVL (2016)
Linh Tran, Ben Schaeffer, Addison Gronquist, Marek A. Perkowski, Pawel Kerntopf
Synthesis of Reversible Circuits Based on EXORs of Products of EXORs. Trans. Comput. Sci. 24 (2014)
Phuoc Tran, Dien Dinh, Linh Tran
Resolving Named Entity Unknown Word in Chinese-Vietnamese Machine Translation. KSE (2) (2013)
Ben Schaeffer, Linh Tran, Addison Gronquist, Marek A. Perkowski, Pawel Kerntopf
Synthesis of Reversible Circuits Based on Products of Exclusive OR Sums. ISMVL (2013)