Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

S. Liu, B. Kailkhura, J. Zhang, A. Hiszpanski, E. Robertson, D. Loveland, and T. Han. CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Gang Zhang

Yan Zhang

Other publications of authors with the same name

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.Q. Li, B. Kailkhura, R. Anirudh, J. Zhang, Y. Zhou, Y. Liang, T. Han, and P. Varshney. SIAM J. Math. Data Sci., 3 (4): 1197-1222 (2021)Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.S. Liu, B. Kailkhura, J. Zhang, A. Hiszpanski, E. Robertson, D. Loveland, and T. Han. CoRR, (2020)Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.H. Cheng, J. Cao, E. Xiao, P. Zhao, M. Sun, J. Wang, J. Zhang, X. Lin, B. Kailkhura, K. Xu and 1 other author(s). CoRR, (2023)Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations.E. Adeli, J. Zhang, and A. Taflanidis. CoRR, (2021)Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows.J. Zhang, B. Kailkhura, and T. Han. CoRR, (2020)Mean Reverting Portfolios via Penalized OU-Likelihood Estimation.J. Zhang, T. Leung, and A. Aravkin. CDC, page 5795-5800. IEEE, (2018)RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.H. Cheng, J. Duan, H. Li, J. Cao, P. Wang, L. Zhang, J. Zhang, K. Xu, and R. Xu. BMVC, page 296. BMVA Press, (2023)Puzzling and apuzzling graphs.D. Gold, J. Henle, C. Huang, T. Lyve, T. Marin, J. Osorio, M. Puligandla, B. Weick, J. Xia, H. Yun and 1 other author(s). AKCE Int. J. Graphs Comb., 13 (1): 1-10 (2016)Actionable Attribution Maps for Scientific Machine Learning.S. Liu, B. Kailkhura, J. Zhang, A. Hiszpanski, E. Robertson, D. Loveland, and T. Han. CoRR, (2020)Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.H. Cheng, E. Xiao, J. Gu, L. Yang, J. Duan, J. Zhang, J. Cao, K. Xu, and R. Xu. CoRR, (2024)

BibSonomy

Disambiguation of "Zhang, Jize"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Gang Zhang

Yan Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Jize"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Gang Zhang

Yan Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.