Michal Piňos

Publikace

• 2024

  PIŇOS Michal, SEKANINA Lukáš a MRÁZEK Vojtěch. ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers. In: The International Joint Conference on Neural Networks. 2024.
  Detail

• 2023

  PIŇOS Michal, MRÁZEK Vojtěch, VAVERKA Filip, VAŠÍČEK Zdeněk a SEKANINA Lukáš. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, roč. 13, č. 1, 2023, s. 212-224. ISSN 2156-3357.
  Detail

  SEKANINA Lukáš, MRÁZEK Vojtěch a PIŇOS Michal. Hardware-Aware Evolutionary Approaches to Deep Neural Networks. Handbook of Evolutionary Machine Learning. Genetic and Evolutionary Computation. Singapore: Springer Nature Singapore, 2023, s. 367-396. ISBN 978-981-9938-13-1.
  Detail

  PIŇOS Michal, MRÁZEK Vojtěch a 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, s. 45-50. ISBN 979-8-3503-3277-3.
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• 2022

  PIŇOS Michal, MRÁZEK Vojtěch a SEKANINA Lukáš. Evolutionary Approximation and Neural Architecture Search. Genetic Programming and Evolvable Machines, roč. 23, č. 3, 2022, s. 351-374. ISSN 1389-2576.
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• 2021

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