Evolutionary Neural Architecture Search Supporting Approximate Multipliers. - Michal Pinos; Vojtech Mrazek; Lukás Sekanina (EuroGP, 2021)

Evolutionary approximation and neural architecture search. - Michal Pinos; Vojtech Mrazek; Lukás Sekanina (Genet. Program. Evolvable Mach., 2022)

Prediction of Inference Energy on CNN Accelerators Supporting Approximate Circuits. - Michal Pinos; Vojtech Mrazek; Lukás Sekanina (DDECS, 2023)

Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. - Michal Pinos; Vojtech Mrazek; Filip Vaverka; Zdenek Vasícek; Lukás Sekanina (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers. - Michal Pinos; Lukás Sekanina; Vojtech Mrazek (IJCNN, 2024)

Inference Energy Analysis in Context of Hardware-Aware NAS. - Michal Pinos; Jan Klhufek; Vojtech Mrazek; Lukás Sekanina (DDECS, 2025)