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Journal Articles
- 2021
[j4]Niloofar Shahidi
, Michael Pan, Soroush Safaei, Kenneth Tran, Edmund J. Crampin, David P. Nickerson:
Hierarchical semantic composition of biosimulation models using bond graphs. PLoS Comput. Biol. 17(5) (2021)- 2019
- [j3]Andrew J. Taberner, Poul M. F. Nielsen, Callum M. Johnston, Alexander J. Anderson, Ming L. Cheuk, Amy S. Garrett, Jarrah Dowrick, Emily Lam Po Tang, Amir HajiRassouliha, Bryan P. Ruddy, Toan Pham, Kenneth Tran, June-Chiew Han, Denis S. Loiselle:
A dynamometer for nature's engines. IEEE Instrum. Meas. Mag. 22(2): 10-16 (2019) - 2018
- [j2]Shouryadipta Ghosh, Kenneth Tran, Lea M. D. Delbridge, Anthony Hickey, Eric Hanssen, Edmund J. Crampin, Vijay Rajagopal:
Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture. PLoS Comput. Biol. 14(12) (2018) - 2014
- [j1]Austin R. Benson, Jack Poulson, Kenneth Tran, Björn Engquist, Lexing Ying:
A Parallel Directional Fast Multipole Method. SIAM J. Sci. Comput. 36(4) (2014)
Conference and Workshop Papers
- 2023
- [c9]Julia H. Musgrave, June-Chiew Han, Marie-Louise Ward, Andrew J. Taberner, Kenneth Tran:
Measuring and Modelling the Effect of Inorganic Phosphate on Cross-bridge Mechanics in Human Cardiac Muscle. EMBC 2023: 1-4 - [c8]Emily J. Lam Po Tang, Toan Pham, Jordyn Chan, Kenneth Tran, June-Chiew Han, Khoon Lim, Poul M. F. Nielsen, Andrew J. Taberner:
An Instrument for High-throughput Testing of Heart Tissue In Vitro. EMBC 2023: 1-4 - 2021
- [c7]Kenneth Tran, Wesam A. Sakla, Hamid Krim:
Generative Information Fusion. ICASSP 2021: 3990-3994 - 2019
- [c6]Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim:
Nonlinear Multi-scale Super-resolution Using Deep Learning. ICASSP 2019: 3182-3186 - [c5]Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon:
Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. DGS@ICLR 2019 - [c4]Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon:
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. NeurIPS 2019: 11056-11068 - 2017
- [c3]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CVPR 2017: 1141-1150 - 2016
- [c2]Kenneth Tran, Xiaodong He, Lei Zhang, Jian Sun:
Rich Image Captioning in the Wild. CVPR Workshops 2016: 434-441 - 2015
- [c1]Kenneth Tran, Saghar Hosseini, Lin Xiao, Thomas Finley, Mikhail Bilenko:
Scaling Up Stochastic Dual Coordinate Ascent. KDD 2015: 1185-1194
Informal and Other Publications
- 2022
- [i6]Nhat M. Nguyen, Hieu T. Tran, Minh V. Duong, Hanh Bui, Kenneth Tran:
Differentiable Physics-based Greenhouse Simulation. CoRR abs/2211.11502 (2022) - 2019
- [i5]Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon:
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. CoRR abs/1906.09531 (2019) - [i4]Tung-Long Vuong, Kenneth Tran:
Uncertainty-aware Model-based Policy Optimization. CoRR abs/1906.10717 (2019) - 2016
- [i3]Kenneth Tran, Xiaodong He, Lei Zhang, Jian Sun, Cornelia Carapcea, Chris Thrasher, Chris Buehler, Chris Sienkiewicz:
Rich Image Captioning in the Wild. CoRR abs/1603.09016 (2016) - [i2]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CoRR abs/1611.08002 (2016) - 2013
- [i1]Austin R. Benson, Jack Poulson, Kenneth Tran, Björn Engquist, Lexing Ying:
A parallel directional Fast Multipole Method. CoRR abs/1311.4257 (2013)
Coauthor Index
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