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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.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
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RI: Small: Accelerating Machine Learning via Randomized Automatic Differentiation
Adams, R. P. (PI)
NSF - National Science Foundation
10/1/20 → 9/30/24
Project: Research project
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RI: Small: Parallel Markov Chain Monte Carlo Methods for Scalable Bayesian Inference
Adams, R. P. (PI)
NSF - National Science Foundation
9/1/17 → 8/31/20
Project: Research project
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Measuring Cooperation with Counterfactual Planning
Barnett, S. A., Wantlin, K. & Adams, R. P., 2026, Game Theory and AI for Security - 16th International Conference, GameSec 2025, Proceedings. Baras, J. S., Papavassiliou, S., Tsiropoulou, E. E. & Sayin, M. O. (eds.). Springer Science and Business Media Deutschland GmbH, p. 23-41 19 p. (Lecture Notes in Computer Science; vol. 16223 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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DESIGNING MECHANICAL META-MATERIALS BY LEARNING EQUIVARIANT FLOWS
Mirramezani, M., Meeussen, A. S., Bertoldi, K., Orbanz, P. & Adams, R. P., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 89379-89396 18 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Efficiently Vectorized MCMC on Modern Accelerators
Dance, H., Glaser, P., Orbanz, P. & Adams, R., 2025, In: Proceedings of Machine Learning Research. 267, p. 12436-12458 23 p.Research output: Contribution to journal › Conference article › peer-review
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Expressivity of Determinantal Ansatzes for Neural Network Wave Functions
Zhan, N., Wheeler, W. A., Goldshlager, G., Ertekin, E., Adams, R. P. & Wagner, L. K., Oct 14 2025, In: Journal of Chemical Theory and Computation. 21, 19, p. 9612-9619 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
GRAPH NEURAL NETWORKS GONE HOGWILD
Solodova, O., Richardson, N., Oktay, D. & Adams, R. P., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 91881-91903 23 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution