An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applicationsby Viacheslav Barkov, Jonas Schmidinger,…
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based methodby Ali Royat, Seyed Mohamad…
Improve Machine Learning carbon footprint using Parquet dataset format and Mixed Precision training for regression…
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid…
Quantile Regression for Distributional Reward Models in RLHFby Nicolai DorkaFirst submitted to arxiv on: 16…
Efficient Milling Quality Prediction with Explainable Machine Learningby Dennis Gross, Helge Spieker, Arnaud Gotlieb, Ricardo…
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Databy Sebastian Wette, Florian HeinrichsFirst…
Robust Training of Neural Networks at Arbitrary Precision and Sparsityby Chengxi Ye, Grace Chu, Yanfeng…
Symbolic Regression with a Learned Concept Libraryby Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles Cranmer,…
TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformerby Weihao Gao, Zheng Gong, Zhuo Deng,…