Ryan P. Adams, Ph.D.
Affiliations: | School of Engineering and Applied Sciences | Harvard University, Cambridge, MA, United States |
Area:
point process modelsWebsite:
http://people.seas.harvard.edu/~rpaGoogle:
"Ryan Adams"Mean distance: 13.97 (cluster 17) | S | N | B | C | P |
Cross-listing: Physics Tree
Parents
Sign in to add mentor| David J.C. Mackay | grad student | 2004-2009 | Cambridge |
| Geoffrey E. Hinton | post-doc | 2009-2011 | University of Toronto |
| Rich S. Zemel | post-doc | 2009-2011 | University of Toronto |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Wei JN, Belanger D, Adams RP, et al. (2019) Rapid Prediction of Electron-Ionization Mass Spectrometry Using Neural Networks. Acs Central Science. 5: 700-708 |
| Hernández-Lobato JM, Gelbart MA, Adams RP, et al. (2016) A general framework for constrained Bayesian optimization using information-based search Journal of Machine Learning Research. 17: 5549-5601 |
| Adams RP, Fox EB, Sudderth EB, et al. (2015) Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics. Ieee Trans Pattern Anal Mach Intell. 37: 209-11 |
| Adams RP, Fox EB, Sudderth EB, et al. (2015) Guest editors' introduction to the special issue on bayesian nonparametrics Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 209-211 |
| Snoek J, Swersky K, Zemel R, et al. (2014) Input warping for Bayesian optimization of non-stationary functions 31st International Conference On Machine Learning, Icml 2014. 5: 3654-3662 |
| Duvenaud D, Rippel O, Adams RP, et al. (2014) Avoiding pathologies in very deep networks Journal of Machine Learning Research. 33: 202-210 |
| Chua JC, Givoni IE, Adams RP, et al. (2013) Bayesian painting by numbers: Flexible priors for colour-invariant object recognition Studies in Computational Intelligence. 411: 89-117 |
| Snoek J, Adams RP, Zemel RS. (2013) A determinantal point process latent variable model for inhibition in neural spiking data Advances in Neural Information Processing Systems |
| Chua J, Givoni I, Adams R, et al. (2012) Learning structural element patch models with hierarchical palettes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2416-2423 |
| Tarlow D, Swersky K, Zemel RS, et al. (2012) Fast exact inference for recursive cardinality models Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, Uai 2012. 825-834 |