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Alex Devonport
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2020 – today
- 2024
- [c12]Elizabeth Dietrich, Alex Devonport, Murat Arcak:
Nonconvex scenario optimization for data-driven reachability. L4DC 2024: 514-527 - 2023
- [b1]Alex Devonport:
Contributions to the Statistical Foundation of Data-driven Control. University of California, Berkeley, USA, 2023 - [j1]Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak:
Data-Driven Reachability and Support Estimation With Christoffel Functions. IEEE Trans. Autom. Control. 68(9): 5216-5229 (2023) - [c11]Paul Griffioen, Alex Devonport, Murat Arcak:
Probabilistic Invariance for Gaussian Process State Space Models. L4DC 2023: 458-468 - [c10]Alex Devonport, Peter Seiler, Murat Arcak:
Frequency Domain Gaussian Process Models for H∞ Uncertainties. L4DC 2023: 1046-1057 - [i11]Alex Devonport, Peter Seiler, Murat Arcak:
Frequency-domain Gaussian Process Models for H∞ Uncertainties. CoRR abs/2312.10106 (2023) - 2022
- [i10]Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos:
Machine Learning for Smart and Energy-Efficient Buildings. CoRR abs/2211.14889 (2022) - [i9]Alex Devonport, Peter J. Seiler, Murat Arcak:
Frequency Domain Gaussian Process Models for H∞ Uncertainties. CoRR abs/2211.15923 (2022) - 2021
- [c9]Alex Devonport, Adnane Saoud, Murat Arcak:
Symbolic Abstractions From Data: A PAC Learning Approach. CDC 2021: 599-604 - [c8]Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak:
Data-Driven Reachability Analysis with Christoffel Functions. CDC 2021: 5067-5072 - [c7]Alex Devonport, Murat Arcak:
Data-driven estimation of forward reachable sets. CAADCPS@CPSIoTWeek 2021: 11-12 - [i8]Alex Devonport, Adnane Saoud, Murat Arcak:
Symbolic Abstractions From Data: A PAC Learning Approach. CoRR abs/2104.13901 (2021) - [i7]Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak:
Data-Driven Reachability Analysis with Christoffel Functions. CoRR abs/2104.13902 (2021) - [i6]Jared Mejia, Alex Devonport, Murat Arcak:
DaDRA: A Python Library for Data-Driven Reachability Analysis. CoRR abs/2111.01312 (2021) - [i5]Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak:
Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions. CoRR abs/2112.09995 (2021) - 2020
- [c6]Alex Devonport, Murat Arcak:
Data-Driven Reachable Set Computation using Adaptive Gaussian Process Classification and Monte Carlo Methods. ACC 2020: 2629-2634 - [c5]Alex Devonport, Mahmoud Khaled, Murat Arcak, Majid Zamani:
PIRK: Scalable Interval Reachability Analysis for High-Dimensional Nonlinear Systems. CAV (1) 2020: 556-568 - [c4]Alex Devonport, He Yin, Murat Arcak:
Bayesian Safe Learning and Control with Sum-of-Squares Analysis and Polynomial Kernels. CDC 2020: 3159-3165 - [c3]Lucas Spangher, Akash Gokul, Manan Khattar, Joseph Palakapilly, Akaash Tawade, Adam Bouyamourn, Alex Devonport, Costas J. Spanos:
Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework. e-Energy 2020: 438-444 - [c2]Alex Devonport, Murat Arcak:
Estimating Reachable Sets with Scenario Optimization. L4DC 2020: 75-84 - [i4]Alex Devonport, Mahmoud Khaled, Murat Arcak, Majid Zamani:
PIRK: Scalable Interval Reachability Analysis for High-Dimensional Nonlinear Systems. CoRR abs/2001.10635 (2020) - [i3]Alex Devonport, He Yin, Murat Arcak:
Bayesian Safe Learning and Control with Sum-of-Squares Analysis and Polynomial Kernels. CoRR abs/2004.00662 (2020)
2010 – 2019
- 2019
- [c1]Pierre-Jean Meyer, Alex Devonport, Murat Arcak:
TIRA: toolbox for interval reachability analysis. HSCC 2019: 224-229 - [i2]Pierre-Jean Meyer, Alex Devonport, Murat Arcak:
TIRA: Toolbox for Interval Reachability Analysis. CoRR abs/1902.05204 (2019) - [i1]Alex Devonport, Murat Arcak:
Data-Driven Reachable Set Computation using Adaptive Gaussian Process Classification and Monte Carlo Methods. CoRR abs/1910.02500 (2019)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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