Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams S Ament, M Amsler, DR Sutherland, MC Chang, D Guevarra, AB Connolly, ... Science Advances 7 (51), eabg4930, 2021 | 64 | 2021 |
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning D Chen, Y Bai, S Ament, W Zhao, D Guevarra, L Zhou, B Selman, ... Nature Machine Intelligence 3 (9), 812-822, 2021 | 62 | 2021 |
Unexpected improvements to expected improvement for bayesian optimization S Ament, S Daulton, D Eriksson, M Balandat, E Bakshy Advances in Neural Information Processing Systems 36, 20577-20612, 2023 | 41 | 2023 |
CRYSTAL: a multi-agent AI system for automated mapping of materials' crystal structures CP Gomes, J Bai, Y Xue, J Björck, B Rappazzo, S Ament, R Bernstein, ... MRS Communications 9 (2), 600-608, 2019 | 34 | 2019 |
Deep reasoning networks for unsupervised pattern de-mixing with constraint reasoning D Chen, Y Bai, W Zhao, S Ament, J Gregoire, C Gomes International Conference on Machine Learning, 1500-1509, 2020 | 33 | 2020 |
Accurate and efficient numerical calculation of stable densities via optimized quadrature and asymptotics S Ament, M O’Neil Statistics and Computing 28, 171-185, 2018 | 29 | 2018 |
Multi-component background learning automates signal detection for spectroscopic data SE Ament, HS Stein, D Guevarra, L Zhou, JA Haber, DA Boyd, ... npj Computational Materials 5 (1), 77, 2019 | 27 | 2019 |
Solving the stochastic Landau-Lifshitz-Gilbert-Slonczewski equation for monodomain nanomagnets: A survey and analysis of numerical techniques S Ament, N Rangarajan, A Parthasarathy, S Rakheja arXiv preprint arXiv:1607.04596, 2016 | 25 | 2016 |
Bayesian optimization over high-dimensional combinatorial spaces via dictionary-based embeddings A Deshwal, S Ament, M Balandat, E Bakshy, JR Doppa, D Eriksson International Conference on Artificial Intelligence and Statistics, 7021-7039, 2023 | 13 | 2023 |
The fast kernel transform JP Ryan, SE Ament, CP Gomes, A Damle International Conference on Artificial Intelligence and Statistics, 11669-11690, 2022 | 12 | 2022 |
Efficient projection algorithms onto the weighted ℓ1 ball G Perez, S Ament, C Gomes, M Barlaud Artificial Intelligence 306, 103683, 2022 | 12 | 2022 |
Scalable first-order bayesian optimization via structured automatic differentiation SE Ament, CP Gomes International Conference on Machine Learning, 500-516, 2022 | 11 | 2022 |
Sparse Bayesian Learning via Stepwise Regression S Ament, C Gomes International Conference on Machine Learning 139, 264-274, 2021 | 11 | 2021 |
On the optimality of backward regression: Sparse recovery and subset selection S Ament, C Gomes ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers P Rodriguez-Fernandez, NT Howard, A Saltzman, S Kantamneni, ... Nuclear Fusion 64 (7), 076034, 2024 | 9 | 2024 |
Exponentially-modified Gaussian mixture model: applications in spectroscopy S Ament, J Gregoire, C Gomes arXiv preprint arXiv:1902.05601, 2019 | 8 | 2019 |
An efficient relaxed projection method for constrained non-negative matrix factorization with application to the phase-mapping problem in materials science J Bai, S Ament, G Perez, J Gregoire, C Gomes International Conference on the Integration of Constraint Programming …, 2018 | 8 | 2018 |
Optical identification of materials transformations in oxide thin films DR Sutherland, AB Connolly, M Amsler, MC Chang, KR Gann, V Gupta, ... ACS Combinatorial Science 22 (12), 887-894, 2020 | 6 | 2020 |
Shufeng Kong, Santosh K Suram, R Bruce van Dover, et al CP Gomes, J Bai, Y Xue, J Björck, B Rappazzo, S Ament, R Bernstein Crystal: a multi-agent ai system for automated mapping of materials’ crystal …, 2019 | 4 | 2019 |
Sustainable concrete via Bayesian optimization S Ament, A Witte, N Garg, J Kusuma arXiv preprint arXiv:2310.18288, 2023 | 3 | 2023 |