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Dive into the research topics where Ryan P. Adams is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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RI: Small: Accelerating Machine Learning via Randomized Automatic Differentiation
NSF - National Science Foundation
10/1/20 → 9/30/23
Project: Research project
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RI: Small: Parallel Markov Chain Monte Carlo Methods for Scalable Bayesian Inference
NSF - National Science Foundation
9/1/17 → 8/31/20
Project: Research project
Research output
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Active Multi-Fidelity Bayesian Online Changepoint Detection
Gundersen, G. W., Cai, D., Zhou, C., Engelhardt, B. E. & Adams, R. P., 2021, p. 1916-1926. 11 p.Research output: Contribution to conference › Paper › peer-review
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Bayesian reaction optimization as a tool for chemical synthesis
Shields, B. J., Stevens, J., Li, J., Parasram, M., Damani, F., Alvarado, J. I. M., Janey, J. M., Adams, R. P. & Doyle, A. G., Feb 4 2021, In: Nature. 590, 7844, p. 89-96 8 p.Research output: Contribution to journal › Article › peer-review
69 Scopus citations -
A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation
Xue, T., Beatson, A., Chiaramonte, M. M., Roeder, G., Ash, J. T., Menguc, Y., Adriaenssens, S., Adams, R. P. & Mao, S., Aug 28 2020, In: Soft matter. 16, 32, p. 7524-7534 11 p.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations -
Amortized finite element analysis for fast PDE-constrained optimization
Xue, T., Beatson, A., Adriaenssens, S. M. & Adams, R. P., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 10569-10578 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-14).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations -
Learning composable energy surrogates for PDE order reduction
Beatson, A., Ash, J. T., Roeder, G., Xue, T. & Adams, R. P., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review