Sebastian Ament

According to our database1, Sebastian Ament authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers.
CoRR, 2023

Sustainable Concrete via Bayesian Optimization.
CoRR, 2023

Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research.
CoRR, 2023

Unexpected Improvements to Expected Improvement for Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Efficient projection algorithms onto the weighted <i>ℓ</i><sub>1</sub> ball.
Artif. Intell., 2022

Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation.
Proceedings of the International Conference on Machine Learning, 2022

Generalized Matching Pursuits for the Sparse Optimization of Separable Objectives.
Proceedings of the IEEE International Conference on Acoustics, 2022

The Fast Kernel Transform.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning.
Nat. Mach. Intell., 2021

Constrained Machine Learning: The Bagel Framework.
CoRR, 2021

Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning.
CoRR, 2021

Autonomous synthesis of metastable materials.
CoRR, 2021

Sparse Bayesian Learning via Stepwise Regression.
Proceedings of the 38th International Conference on Machine Learning, 2021

On the Optimality of Backward Regression: Sparse Recovery and Subset Selection.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Efficient Projection Algorithms onto the Weighted l1 Ball.
CoRR, 2020

Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Deep Reasoning Networks: Thinking Fast and Slow.
CoRR, 2019

Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy.
CoRR, 2019

2018
Accurate and efficient numerical calculation of stable densities via optimized quadrature and asymptotics.
Stat. Comput., 2018

An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

2016
A practical guide to solving the stochastic Landau-Lifshitz-Gilbert-Slonczewski equation for macrospin dynamics.
CoRR, 2016


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