Author of the publication

Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction.

, , and . ICLR, OpenReview.net, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction., , and . ICLR, OpenReview.net, (2023)Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining., , and . NeurIPS, (2020)Stochastic Gradient Descent for Gaussian Processes Done Right., , , , , , , and . CoRR, (2023)Tanimoto Random Features for Scalable Molecular Machine Learning., , , and . CoRR, (2023)Retrosynthetic Planning with Dual Value Networks., , , , , , , , , and . CoRR, (2023)Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction., , and . CoRR, (2022)Re-evaluating Retrosynthesis Algorithms with Syntheseus., , , , , , , and . CoRR, (2023)Retro-fallback: retrosynthetic planning in an uncertain world., , , , and . CoRR, (2023)GAUCHE: A Library for Gaussian Processes in Chemistry., , , , , , , , , and 8 other author(s). CoRR, (2022)Genetic algorithms are strong baselines for molecule generation., and . CoRR, (2023)