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11
Trustworthy Machine Learning by Efficiently Verifying Compressed Models.
Trustworthy Machine Learning by Efficiently Verifying Compressed Models.
Lazarus, Christopher. | Stanford University. | 2022
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12
Optimization and Simulation Models for the Design of Resilient Election Voting Systems.
Optimization and Simulation Models for the Design of Resilient Election Voting Systems.
Schmidt, Adam P.Industrial Engineering. | The University of Wisconsin - Madison. | 2022
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13
Quantitative Privilege Separation with Pointer Supports.
Quantitative Privilege Separation with Pointer Supports.
Liu, Shen. | The Pennsylvania State University. | 2020
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14
Techniques for Mapping Deep Neural Network Frameworks to Programmable Accelerators.
Techniques for Mapping Deep Neural Network Frameworks to Programmable Accelerators.
Hadjis, Stefan. | Stanford University. | 2021
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15
Convex Optimization Methods for Adaptive Radiation Therapy.
Convex Optimization Methods for Adaptive Radiation Therapy.
Fu, Anqi. | Stanford University. | 2021
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16
Design and Verification of Modular Components in Thermodynamic Binding Networks.
Design and Verification of Modular Components in Thermodynamic Binding Networks.
Haley, David Russell.Applied Mathematics. | University of California, Davis. | 2021
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17
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Li, Can.Chemical Engineering. | Carnegie Mellon University. | 2021
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18
Theoretical and Practical Advances in Computational Social Choice and Crowdsourcing.
Theoretical and Practical Advances in Computational Social Choice and Crowdsourcing.
Yoo, Yeawon.Industrial Engineering. | Arizona State University. | 2021
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19
Enhancing Power System Resilience through Computational Optimization
Enhancing Power System Resilience through Computational Optimization
Patsakis, Georgios. | University of California, Berkeley | 2020
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