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ORCIDWael Fatnassi
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2020 – today
- 2024
[b1]Wael Fatnassi:
Formal Verification of AI-Controlled Cyber-Physical Systems Using Polynomial Approximations: Constraints Solver, Model Checkers, and Applications. University of California, Irvine, USA, 2024- [j4]Wael Fatnassi, Arthur Feeney, Valen Yamamoto, Aparna Chandramowlishwaran
, Yasser Shoukry:
BERN-NN-IBF: Enhancing Neural Network Bound Propagation Through Implicit Bernstein Form and Optimized Tensor Operations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4334-4345 (2024) - [j3]Wael Fatnassi, Yasser Shoukry:
PolyARBerNN: A Neural Network Guided Solver and Optimizer for Bounded Polynomial Inequalities. ACM Trans. Embed. Comput. Syst. 23(2): 22:1-22:26 (2024) - 2023
- [c6]Wael Fatnassi, Haitham Khedr, Valen Yamamoto, Yasser Shoukry:
BERN-NN: Tight Bound Propagation For Neural Networks Using Bernstein Polynomial Interval Arithmetic. HSCC 2023: 19:1-19:11 - 2022
- [i4]Wael Fatnassi, Yasser Shoukry:
PolyARBerNN: A Neural Network Guided Solver and Optimizer for Bounded Polynomial Inequalities. CoRR abs/2204.05365 (2022) - [i3]Wael Fatnassi, Haitham Khedr, Valen Yamamoto, Yasser Shoukry:
BERN-NN: Tight Bound Propagation For Neural Networks Using Bernstein Polynomial Interval Arithmetic. CoRR abs/2211.14438 (2022) - 2021
- [j2]Ahmed Aboutaleb, Wael Fatnassi, Zouheir Rezki, Anas Chaaban:
Optimal Diversity and Coding Gains for Millimeter-Wave Communication. IEEE Trans. Veh. Technol. 70(5): 4601-4614 (2021) - [c5]Wael Fatnassi, Yasser Shoukry:
PolyAR: A Highly Parallelizable Solver For Polynomial Inequality Constraints Using Convex Abstraction Refinement. ADHS 2021: 43-48 - [c4]Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz, Yasser Shoukry:
Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach. CDC 2021: 2963-2968 - [i2]Wael Fatnassi, Yasser Shoukry:
PolyAR: A Highly Parallelizable Solver For Polynomial Inequality Constraints Using Convex Abstraction Refinement. CoRR abs/2101.04655 (2021) - [i1]Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz, Yasser Shoukry:
Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach. CoRR abs/2109.01255 (2021)
2010 – 2019
- 2019
- [c3]Ahmed Aboutaleb, Wael Fatnassi, Morteza Soltani, Zouheir Rezki:
Symbol Detection and Channel Estimation using Neural Networks in Optical Communication Systems. ICC 2019: 1-6 - 2018
- [j1]Wael Fatnassi, Zouheir Rezki:
Reliability Enhancement of Smart Metering System Using Millimeter Wave Technology. IEEE Trans. Commun. 66(10): 4877-4892 (2018) - [c2]Morteza Soltani, Wael Fatnassi, Ahmed Aboutaleb, Zouheir Rezki, Arup Bhuyan, Paul Titus:
Autoencoder-Based Optical Wireless Communications Systems. GLOBECOM Workshops 2018: 1-6 - [c1]Wael Fatnassi, Zouheir Rezki:
Increasing the Reliability of Smart Metering System Using Millimeter Wave Technology. ICC Workshops 2018: 1-6
Coauthor Index
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