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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
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A Multi-Objective Active Learning Platform and Web App for Reaction Optimization
Torres, J. A. G., Lau, S. H., Anchuri, P., Stevens, J. M., Tabora, J. E., Li, J., Borovika, A., Adams, R. P. & Doyle, A. G., Nov 2 2022, In: Journal of the American Chemical Society. 144, 43, p. 19999-20007 9 p.Research output: Contribution to journal › Article › peer-review
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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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Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Sun, X., Xue, T., Rusinkiewicz, S. & Adams, R. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 18891-18906 16 p. (Advances in Neural Information Processing Systems; vol. 23).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
143 Scopus citations -
Slice Sampling Reparameterization Gradients
Zoltowski, D. M., Cai, D. & Adams, R. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 23532-23544 13 p. (Advances in Neural Information Processing Systems; vol. 28).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution