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…
On the Universality of Self-Supervised Representation Learningby Wenwen Qiang, Jingyao Wang, Lingyu Si, Chuxiong Sun,…
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Predictionby Yin Huang,…
A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499…
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learningby Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas…
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…
Scaling and renormalization in high-dimensional regressionby Alexander Atanasov, Jacob A. Zavatone-Veth, Cengiz PehlevanFirst submitted to…
Multigroup Robustnessby Lunjia Hu, Charlotte Peale, Judy Hanwen ShenFirst submitted to arxiv on: 1 May…