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2020 – today
- 2023
[b1]Prerit Terway:
AI framework for improved system design and explainable decisions. Princeton University, USA, 2023- [j4]Shayan Hassantabar
, Prerit Terway, Niraj K. Jha:
TUTOR: Training Neural Networks Using Decision Rules as Model Priors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 483-496 (2023) - [j3]Prerit Terway, Niraj K. Jha:
INFORM: Inverse Design Methodology for Constrained Multiobjective Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2200-2213 (2023) - [j2]Prerit Terway, Niraj K. Jha:
REPAIRS: Gaussian Mixture Model-based Completion and Optimization of Partially Specified Systems. ACM Trans. Embed. Comput. Syst. 22(4): 69:1-69:36 (2023) - [c1]Sanjai Narain, Dana Chee, Pranav Iyer, Emily Mak, Ricardo Valdez, Manli Zhu, Niraj K. Jha, Jaime F. Fisac, Kai-Chieh Hsu, Prerit Terway, Kishore Pochiraju, Brendan J. Englot, Emil Pitz, Sean Rooney, Yewei Huang:
AIMED: AI-Mediated Exploration of Design: An Experience Report. CPS-IoT Week Workshops 2023: 136-140 - 2022
- [j1]Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
Fast Design Space Exploration of Nonlinear Systems: Part II. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 2984-2999 (2022) - 2021
- [i3]Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
Fast Design Space Exploration of Nonlinear Systems: Part II. CoRR abs/2104.02464 (2021) - 2020
- [i2]Prerit Terway, Kenza Hamidouche, Niraj K. Jha:
DISPATCH: Design Space Exploration of Cyber-Physical Systems. CoRR abs/2009.10214 (2020) - [i1]Shayan Hassantabar, Prerit Terway, Niraj K. Jha:
TUTOR: Training Neural Networks Using Decision Rules as Model Priors. CoRR abs/2010.05429 (2020)
Coauthor Index
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