Michal Piňos

Publications

• 2024

  PIŇOS Michal, SEKANINA Lukáš and MRÁZEK Vojtěch. ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers. In: 2024 The International Joint Conference on Neural Networks (IJCNN). Yokohama: Institute of Electrical and Electronics Engineers, 2024, pp. 1-8. ISBN 979-8-3503-5931-2.
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• 2023

  PIŇOS Michal, MRÁZEK Vojtěch, VAVERKA Filip, VAŠÍČEK Zdeněk and SEKANINA Lukáš. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 13, no. 1, 2023, pp. 212-224. ISSN 2156-3357.
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  SEKANINA Lukáš, MRÁZEK Vojtěch and PIŇOS Michal. Hardware-Aware Evolutionary Approaches to Deep Neural Networks. Handbook of Evolutionary Machine Learning. Genetic and Evolutionary Computation. Singapore: Springer Nature Singapore, 2023, pp. 367-396. ISBN 978-981-9938-13-1.
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  PIŇOS Michal, MRÁZEK Vojtěch and SEKANINA Lukáš. Prediction of Inference Energy on CNN Accelerators Supporting Approximate Circuits. In: 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems. Talinn: Institute of Electrical and Electronics Engineers, 2023, pp. 45-50. ISBN 979-8-3503-3277-3.
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• 2022

  PIŇOS Michal, MRÁZEK Vojtěch and SEKANINA Lukáš. Evolutionary Approximation and Neural Architecture Search. Genetic Programming and Evolvable Machines, vol. 23, no. 3, 2022, pp. 351-374. ISSN 1389-2576.
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• 2021

  PIŇOS Michal, MRÁZEK Vojtěch and SEKANINA Lukáš. Evolutionary Neural Architecture Search Supporting Approximate Multipliers. In: Genetic Programming, 24th European Conference, EuroGP 2021. Lecture Notes in Computer Science, vol 12691, vol. 12691. Seville: Springer Nature Switzerland AG, 2021, pp. 82-97. ISBN 978-3-030-72812-0.
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