
Title |
|---|
![]() Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class
AnnealingInternational Conference on Learning Representations (ICLR), 2021 |
![]() Improving black-box optimization in VAE latent space using decoder
uncertaintyNeural Information Processing Systems (NeurIPS), 2021 |
![]() A Survey of Deep Active LearningACM Computing Surveys (ACM CSUR), 2020 |
![]() BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
Active LearningNeural Information Processing Systems (NeurIPS), 2019 |
![]() Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato |
![]() Automatic chemical design using a data-driven continuous representation
of moleculesACS Central Science (ACS Cent. Sci.), 2016 |