Data-driven topology design based on principal component analysis for 3D structural design problemsby Jun Yang,…
Lexicographic optimization-based approaches to learning a representative model for multi-criteria sorting with non-monotonic criteriaby Zhen…
Correlating Time Series with Interpretable Convolutional Kernelsby Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua ZhaoFirst…
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learningby Vyacheslav Kungurtsev, Yuanfang…
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and…
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classificationby Fu Xing Long, Moritz Frenzel,…
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloadsby Ioannis Panopoulos,…
PACSBO: Probably approximately correct safe Bayesian optimizationby Abdullah Tokmak, Thomas B. Schön, Dominik BaumannFirst submitted…
Regret Analysis for Randomized Gaussian Process Upper Confidence Boundby Shion Takeno, Yu Inatsu, Masayuki KarasuyamaFirst…
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factorsby Patricia Dao,…