21 citations · 24 across the 2 of their papers we have counts for
2 papers
stat.ML2023★ 21 cited
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Victor Picheny, Joel Berkeley, Henry B. Moss +13
We present Trieste, an open-source Python package for Bayesian optimization and active learning benefiting from the scalability and efficiency of TensorFlow. Our library enables th…
cs.LG2022★ 3 cited
Memory Safe Computations with XLA Compiler
Artem Artemev, Tilman Roeder, Mark van der Wilk
Software packages like TensorFlow and PyTorch are designed to support linear algebra operations, and their speed and usability determine their success. However, by prioritising spe…