Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Propertiesby Johannes Zenn, Dominik…
Learnable & Interpretable Model Combination in Dynamical Systems Modelingby Tobias Thummerer, Lars MikelsonsFirst submitted to…
Confidence Interval Estimation of Predictive Performance in the Context of AutoMLby Konstantinos Paraschakis, Andrea Castellani,…
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimationby Christopher Bockel-Rickermann, Toon Vanderschueren,…
DistilDoc: Knowledge Distillation for Visually-Rich Document Applicationsby Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee, Matthew…
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysisby Paolo Bonetti, Alberto Maria Metelli,…
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimizationby Jiaxin Deng, Junbiao Pang, Baochang ZhangFirst…
Asymptotically Optimal Regret for Black-Box Predict-then-Optimizeby Samuel Tan, Peter I. FrazierFirst submitted to arxiv on:…
KernelWarehouse: Rethinking the Design of Dynamic Convolutionby Chao Li, Anbang YaoFirst submitted to arxiv on:…
GENIU: A Restricted Data Access Unlearning for Imbalanced Databy Chenhao Zhang, Shaofei Shen, Yawen Zhao,…