TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Linesby…
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learningby…
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regionsby…
What if? Causal Machine Learning in Supply Chain Risk Managementby Mateusz Wyrembek, George Baryannis, Alexandra…
Optimal Kernel Quantile Learning with Random Featuresby Caixing Wang, Xingdong FengFirst submitted to arxiv on:…
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performanceby Thomas Decker, Alexander…
ReactZyme: A Benchmark for Enzyme-Reaction Predictionby Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy…
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factorsby Xueying Ding, Rui…
DrugAgent: Explainable Drug Repurposing Agent with Large Language Model-based Reasoningby Yoshitaka Inoue, Tianci Song, Tianfan…
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reductionby Xinwei Zhang, Zhiqi Bu,…