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2020 – today
- 2024
[c21]Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne:
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. DAPPS 2024: 86-92- [i20]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 abs/2407.07054 (2024) - 2023
- [j5]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): 566-580 (2023) - [c20]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. ICRA 2023: 2869-2875 - [c19]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: 1-6 - [c18]Felix Albu, Linh Tran, S. Radhika, A. Chandrasekar:
Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm. SSP 2023: 522-526 - [i19]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. CoRR abs/2305.17252 (2023) - [i18]Md Ferdous Alam, Yi Wang, Linh Tran, Chin-Yi Cheng, Jieliang Luo:
Representation Learning for Sequential Volumetric Design Tasks. CoRR abs/2309.02583 (2023) - 2022
- [j4]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: 117393 (2022) - [j3]Linh Tran, Maja Pantic, Marc Peter Deisenroth:
Cauchy-Schwarz Regularized Autoencoder. J. Mach. Learn. Res. 23: 115:1-115:37 (2022) - [c17]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: 15828-15839 - [c16]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: 1870-1877 - [c15]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: 1143-1150 - [c14]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 - [c13]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: 371-384 - [i17]Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
COIL: Constrained Optimization in Learned Latent Space - Learning Representations for Valid Solutions. CoRR abs/2202.02163 (2022) - [i16]Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani:
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR abs/2207.01548 (2022) - [i15]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 abs/2207.14760 (2022) - [i14]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 abs/2210.00055 (2022) - 2021
- [i13]Linh Tran, Maja Pantic, Marc Peter Deisenroth:
Cauchy-Schwarz Regularized Autoencoder. CoRR abs/2101.02149 (2021) - [i12]Nguyen Trinh Vu Dang, Loc Tran, Linh Tran:
Noise-robust classification with hypergraph neural network. CoRR abs/2102.01934 (2021) - [i11]Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki:
Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR abs/2110.12185 (2021) - [i10]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 abs/2111.12772 (2021) - 2020
- [c12]Linh Tran, Anshuman Mohan, Aquinas Hobor:
A functional proof pearl: inverting the Ackermann hierarchy. CPP 2020: 129-142 - [c11]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: 9289-9299 - [c10]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: 10248-10259 - [c9]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: 2036-2044 - [c8]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: 1-5 - [i9]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 abs/2001.04694 (2020) - [i8]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 abs/2002.02405 (2020) - [i7]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 abs/2002.02655 (2020) - [i6]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 abs/2003.11531 (2020)
2010 – 2019
- 2019
- [j2]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): 824-844 (2019) - [c7]Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran:
Extracting Symptoms and their Status from Clinical Conversations. ACL (1) 2019: 915-925 - [c6]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: 4978-4989 - [i5]Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran:
Extracting Symptoms and their Status from Clinical Conversations. CoRR abs/1906.02239 (2019) - [i4]Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran:
Learning to Infer Entities, Properties and their Relations from Clinical Conversations. CoRR abs/1908.11536 (2019) - [i3]Loc Tran, Tuan Tran, Linh Tran, An Mai:
Solve fraud detection problem by using graph based learning methods. CoRR abs/1908.11708 (2019) - [i2]Loc Tran, Linh Tran:
To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. CoRR abs/1909.08964 (2019) - 2018
- [c5]Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR 2018: 878-887 - [c4]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: 248-261 - 2017
- [i1]Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. CoRR abs/1712.00684 (2017) - 2016
- [c3]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: 37-43 - 2014
- [j1]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: 111-128 (2014) - 2013
- [c2]Ben Schaeffer, Linh Tran, Addison Gronquist, Marek A. Perkowski, Pawel Kerntopf:
Synthesis of Reversible Circuits Based on Products of Exclusive OR Sums. ISMVL 2013: 35-40 - [c1]Phuoc Tran, Dien Dinh, Linh Tran:
Resolving Named Entity Unknown Word in Chinese-Vietnamese Machine Translation. KSE (2) 2013: 273-284
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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