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PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference., , , , , , , , , and 1 other author(s). ASPLOS, page 715-731. ACM, (2019)Efficient stimulus independent timing abstraction model based on a new concept of circuit block transparency., , and . DAC, page 158-163. ACM, (2002)FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator., , , , , , , , , and 10 other author(s). ICRC, page 44-53. IEEE, (2019)Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning., , , , , , , , , and . SC Workshops, page 81-87. ACM, (2023)LLM-Guided Counterfactual Data Generation for Fairer AI., , , , , and . WWW (Companion Volume), page 1538-1545. ACM, (2024)Data-Aware Storage Tiering for Deep Learning., , , , and . PDSW@SC, page 23-28. IEEE, (2021)Regular Expression Matching with Memristor TCAMs for Network Security., , , , , , , , , and 2 other author(s). NANOARCH, page 65-71. ACM, (2018)Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling., , , , , , , and . CoRR, (2024)Self-learning Data Foundation for Scientific AI., , , , , , and . SMC, volume 1690 of Communications in Computer and Information Science, page 20-37. Springer, (2022)Genetic Algorithm Based Adaptive Control Of An Electromechanical MIMO System., , and . GECCO, page 696. Morgan Kaufmann, (2002)