Author:
Miao Jin,Gerstlauer Andreas,Orshansky Michael
Cited by
31 articles.
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1. Data-Driven Feature Selection Framework for Approximate Circuit Design;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-11
2. Review of Approximate Computing in Image Processing Applications;2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST);2022-12-09
3. VECBEE: A Versatile Efficiency–Accuracy Configurable Batch Error Estimation Method for Greedy Approximate Logic Synthesis;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022-11
4. SEALS;Proceedings of the 59th ACM/IEEE Design Automation Conference;2022-07-10
5. Quantified Satisfiability-based Simultaneous Selection of Multiple Local Approximate Changes under Maximum Error Bound;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28