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Greg Anderson 0003
Person information
- affiliation: Reed College, Portland, OR, USA
- affiliation: University of Texas at Austin, TX, USA
Other persons with the same name
- Greg Anderson — disambiguation page
- Greg Anderson 0001 — Belen Consolidated Schools, NM, USA
- Greg Anderson 0002 — Bank of America Merrill Lynch, USA
- Greg Anderson 0004 — Brigham Young University, Department of Information Systems, Provo, UT, USA
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2020 – today
- 2024
- [c5]Chenxi Yang, Greg Anderson, Swarat Chaudhuri:
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation. SaTML 2024: 233-251 - 2023
- [c4]Greg Anderson, Swarat Chaudhuri, Isil Dillig:
Guiding Safe Exploration with Weakest Preconditions. ICLR 2023 - [i5]Chenxi Yang, Greg Anderson, Swarat Chaudhuri:
Policy Optimization with Robustness Certificates. CoRR abs/2301.11374 (2023) - 2022
- [i4]Greg Anderson, Swarat Chaudhuri, Isil Dillig:
Guiding Safe Exploration with Weakest Preconditions. CoRR abs/2209.14148 (2022) - 2020
- [c3]Greg Anderson, Abhinav Verma, Isil Dillig, Swarat Chaudhuri:
Neurosymbolic Reinforcement Learning with Formally Verified Exploration. NeurIPS 2020 - [i3]Greg Anderson, Abhinav Verma, Isil Dillig, Swarat Chaudhuri:
Neurosymbolic Reinforcement Learning with Formally Verified Exploration. CoRR abs/2009.12612 (2020)
2010 – 2019
- 2019
- [c2]Greg Anderson, Shankara Pailoor, Isil Dillig, Swarat Chaudhuri:
Optimization and abstraction: a synergistic approach for analyzing neural network robustness. PLDI 2019: 731-744 - [i2]Greg Anderson, Shankara Pailoor, Isil Dillig, Swarat Chaudhuri:
Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness. CoRR abs/1904.09959 (2019) - 2018
- [c1]Xinyu Wang, Greg Anderson, Isil Dillig, Kenneth L. McMillan:
Learning Abstractions for Program Synthesis. CAV (1) 2018: 407-426 - [i1]Xinyu Wang, Greg Anderson, Isil Dillig, Kenneth L. McMillan:
Learning Abstractions for Program Synthesis. CoRR abs/1804.04152 (2018)
Coauthor Index
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last updated on 2024-07-25 19:27 CEST by the dblp team
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