Ryan P. Adams
Princeton University(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Bayesian Methods and Mixture Models, Machine Learning and Algorithms, Advanced Multi-Objective Optimization Algorithms, Machine Learning in Materials Science
Most-Cited Works
- → Practical Bayesian Optimization of Machine Learning Algorithms(2012)5,634 cited
- → Taking the Human Out of the Loop: A Review of Bayesian Optimization(2015)5,592 cited
- → Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.(2018)1,970 cited
- → Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach(2016)1,101 cited
- → Bayesian reaction optimization as a tool for chemical synthesis(2021)937 cited
- Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010)(2010)
- → Convolutional Networks on Graphs for Learning Molecular Fingerprints(2015)905 cited
- → Mapping Sub-Second Structure in Mouse Behavior(2015)844 cited
- → Bayesian Online Changepoint Detection(2007)601 cited