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Sergio Pascual-Díaz
Sergio Pascual-Díaz
AI Product and Research
Verified email at prysmx.com
Title
Cited by
Cited by
Year
A unified bellman optimality principle combining reward maximization and empowerment
F Leibfried, S Pascual-Diaz, J Grau-Moya
Advances in Neural Information Processing Systems 32, 2019
402019
Disentangled skill embeddings for reinforcement learning
JC Petangoda, S Pascual-Diaz, V Adam, P Vrancx, J Grau-Moya
arXiv preprint arXiv:1906.09223, 2019
202019
Trieste: Efficiently exploring the depths of black-box functions with TensorFlow
V Picheny, J Berkeley, HB Moss, H Stojic, U Granta, SW Ober, A Artemev, ...
arXiv preprint arXiv:2302.08436, 2023
142023
Uri Granta, Hrvoje Stojic, Ivo Couckuyt, Jixiang Qing, Nasrulloh Loka, Andrei Paleyes, Sebastian W. Ober, and Victor Picheny. Trieste
J Berkeley, HB Moss, A Artemev, S Pascual-Diaz
72022
Scalable Drug Property Prediction via Automated Machine Learning
X Li, S Pascual-Diaz, C Hand, R Garland, W Abbas, F Khan, N Das, ...
2025
Multiclass Synthetic Accessibility Prediction
X Li, R Walsh, W Abbas, S Pascual-Diaz, C Hand, R Garland, FM Khan, ...
Journal of Chemical Information and Modeling, 2025
2025
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
H Moss, V Picheny, H Stojic, SW Ober, A Artemev, A Paleyes, S Vakili, ...
NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0
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