Evolvable Psychology Informed Neural Network for Memory Behavior Modelingby Xiaoxuan Shen, Zhihai Hu, Qirong Chen,…
Optimal Kernel Quantile Learning with Random Featuresby Caixing Wang, Xingdong FengFirst submitted to arxiv on:…
Improved identification of breakpoints in piecewise regression and its applicationsby Taehyeong Kim, Hyungu Lee, Hayoung…
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysisby Yuxiang Wei, Anees Abrol, Vince CalhounFirst submitted to…
Event Detection via Probability Density Function Regressionby Clark Peng, Tolga DinçerFirst submitted to arxiv on:…
Uncertainty-Aware Mean Opinion Score Predictionby Hui Wang, Shiwan Zhao, Jiaming Zhou, Xiguang Zheng, Haoqin Sun,…
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)by Yansel…
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Surveyby Haixin Wang, Yadi Cao,…
Transformers are Minimax Optimal Nonparametric In-Context Learnersby Juno Kim, Tai Nakamaki, Taiji SuzukiFirst submitted to…
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecastingby Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad, Jean-Frédéric Laprade, Olivier…