Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI’s Potential Through…
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of…
Explain Like I’m Five: Using LLMs to Improve PDE Surrogate Models with Textby Cooper Lorsung,…
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroupsby Jingyu Hu, Jun Hong, Mengnan Du, Weiru…
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transportby Zhenyi Zhang, Tiejun Li, Peijie…
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspectiveby Yixin Liu, Arielle…
A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification…
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Databy Anderson Chaves, Eduardo Ogasawara, Patrick Valduriez, Fabio PortoFirst…
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series predictionby…
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction…