Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
Tech Xplore

Easier parameter tuning for prediction using echo state networks

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...
GitHub

fastapi-example

Practical Clean Architecture backend example built with FastAPI. No stateful globals (DI), low coupling (DIP), tactical DDD, CQRS, proper UoW usage. REST API, per ...
IEEE

Hyperparameter Choice as Search Bias in AlphaZero

Abstract: The AlphaZero algorithm has achieved remarkable success in a variety of sequential, perfect information games including Go, Shogi and chess. To better understand how AlphaZero works and ...
IEEE

Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM

Abstract: Hyperparameter optimization still remains the core issue in Gaussian processes (GPs) for machine learning. The classical hyperparameter optimization scheme based on maximum likelihood ...