Summary of Polynomial Chaos Expanded Gaussian Process, by Dominik Polke et al.
Polynomial Chaos Expanded Gaussian Processby Dominik Polke, Tim Kösters, Elmar Ahle, Dirk SöffkerFirst submitted to…
Polynomial Chaos Expanded Gaussian Processby Dominik Polke, Tim Kösters, Elmar Ahle, Dirk SöffkerFirst submitted to…
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Predictionby Yin Huang,…
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learningby Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas…
A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499…
Why Tabular Foundation Models Should Be a Research Priorityby Boris van Breugel, Mihaela van der…
Error Exponent in Agnostic PAC Learningby Adi Hendel, Meir FederFirst submitted to arxiv on: 1…
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Databy Nicholas TenevFirst…
Multigroup Robustnessby Lunjia Hu, Charlotte Peale, Judy Hanwen ShenFirst submitted to arxiv on: 1 May…
Queue-based Eco-Driving at Roundabouts with Reinforcement Learningby Anna-Lena Schlamp, Werner Huber, Stefanie SchmidtnerFirst submitted to…
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibrationby Masanari Kimura, Hiroki NaganumaFirst…