Summary of Enhancing Robustness Of Data-driven Shm Models: Adversarial Training with Circle Loss, by Xiangli Yang et al.
Enhancing robustness of data-driven SHM models: adversarial training with circle lossby Xiangli Yang, Xijie Deng,…
Enhancing robustness of data-driven SHM models: adversarial training with circle lossby Xiangli Yang, Xijie Deng,…
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalizationby Zhaozhe Hu, Jia-Li Yin, Bin Chen,…
VeriFlow: Modeling Distributions for Neural Network Verificationby Faried Abu Zaid, Daniel Neider, Mustafa YalçınerFirst submitted…
Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelby Qianhui Wan, Zecheng…
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debuggingby Georgi Ganev, Meenatchi Sundaram Muthu Selva…
Random pairing MLE for estimation of item parameters in Rasch modelby Yuepeng Yang, Cong MaFirst…
Bayesian Inverse Reinforcement Learning for Non-Markovian Rewardsby Noah Topper, Alvaro Velasquez, George AtiaFirst submitted to…
Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMsby Mahammed Kamruzzaman, Gene Louis KimFirst…
Deep Optimal Experimental Design for Parameter Estimation Problemsby Md Shahriar Rahim Siddiqui, Arman Rahmim, Eldad…
Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time…