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ORCIDSebastian Ament
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2020 – today
- 2024
[i18]Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, Eytan Bakshy:
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure. CoRR abs/2410.09239 (2024)- [i17]Sebastian Ament, Elizabeth Santorella, David Eriksson, Ben Letham, Maximilian Balandat, Eytan Bakshy:
Robust Gaussian Processes via Relevance Pursuit. CoRR abs/2410.24222 (2024) - 2023
- [c9]Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson:
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. AISTATS 2023: 7021-7039 - [c8]Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Unexpected Improvements to Expected Improvement for Bayesian Optimization. NeurIPS 2023 - [i16]Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson:
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. CoRR abs/2303.01774 (2023) - [i15]Ming-Chiang Chang
, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson:
Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research. CoRR abs/2308.07897 (2023) - [i14]Sebastian Ament, Andrew Witte, Nishant Garg, Julius Kusuma:
Sustainable Concrete via Bayesian Optimization. CoRR abs/2310.18288 (2023) - [i13]Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Unexpected Improvements to Expected Improvement for Bayesian Optimization. CoRR abs/2310.20708 (2023) - [i12]P. Rodriguez-Fernandez, N. T. Howard, A. Saltzman, S. Kantamneni, J. Candy, C. Holland, Maximilian Balandat, Sebastian Ament, A. E. White:
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers. CoRR abs/2312.12610 (2023) - 2022
- [j3]Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud:
Efficient projection algorithms onto the weighted ℓ1 ball. Artif. Intell. 306: 103683 (2022) - [c7]John Paul Ryan, Sebastian E. Ament, Carla P. Gomes, Anil Damle:
The Fast Kernel Transform. AISTATS 2022: 11669-11690 - [c6]Sebastian Ament, Carla P. Gomes:
Generalized Matching Pursuits for the Sparse Optimization of Separable Objectives. ICASSP 2022: 5553-5557 - [c5]Sebastian E. Ament, Carla P. Gomes:
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. ICML 2022: 500-516 - [i11]Sebastian Ament, Carla P. Gomes:
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation. CoRR abs/2206.08366 (2022) - 2021
- [j2]Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning. Nat. Mach. Intell. 3(9): 812-822 (2021) - [c4]Sebastian Ament, Carla P. Gomes:
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. ICASSP 2021: 5599-5603 - [c3]Sebastian E. Ament, Carla P. Gomes:
Sparse Bayesian Learning via Stepwise Regression. ICML 2021: 264-274 - [i10]Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover:
Autonomous synthesis of metastable materials. CoRR abs/2101.07385 (2021) - [i9]Sebastian Ament, Carla P. Gomes:
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. CoRR abs/2106.03235 (2021) - [i8]John Paul Ryan, Sebastian Ament, Carla P. Gomes, Anil Damle:
The Fast Kernel Transform. CoRR abs/2106.04487 (2021) - [i7]Sebastian Ament, Carla P. Gomes:
Sparse Bayesian Learning via Stepwise Regression. CoRR abs/2106.06095 (2021) - [i6]Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning. CoRR abs/2108.09523 (2021) - [i5]Guillaume Perez, Sebastian Ament, Carla P. Gomes, Arnaud Lallouet:
Constrained Machine Learning: The Bagel Framework. CoRR abs/2112.01088 (2021) - 2020
- [c2]Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning. ICML 2020: 1500-1509 - [i4]Guillaume Perez, Sebastian Ament, Carla P. Gomes, Michel Barlaud:
Efficient Projection Algorithms onto the Weighted l1 Ball. CoRR abs/2009.02980 (2020)
2010 – 2019
- 2019
- [i3]Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy. CoRR abs/1902.05601 (2019) - [i2]Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes:
Deep Reasoning Networks: Thinking Fast and Slow. CoRR abs/1906.00855 (2019) - 2018
- [j1]Sebastian Ament, Michael O'Neil:
Accurate and efficient numerical calculation of stable densities via optimized quadrature and asymptotics. Stat. Comput. 28(1): 171-185 (2018) - [c1]Junwen Bai, Sebastian Ament, Guillaume Perez, John M. Gregoire, Carla P. Gomes:
An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. CPAIOR 2018: 52-62 - 2016
- [i1]Sebastian Ament, Nikhil Rangarajan, Shaloo Rakheja:
A practical guide to solving the stochastic Landau-Lifshitz-Gilbert-Slonczewski equation for macrospin dynamics. CoRR abs/1607.04596 (2016)
Coauthor Index
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