Vojtech Mrazek

Orcid: 0000-0002-9399-9313

According to our database1, Vojtech Mrazek authored at least 57 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems.
CoRR, 2023

Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Prediction of Inference Energy on CNN Accelerators Supporting Approximate Circuits.
Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

Approximation of Hardware Accelerators driven by Machine-Learning Models : (Embedded Tutorial).
Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers.
Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
SagTree: Towards efficient mutation in evolutionary circuit approximation.
Swarm Evol. Comput., 2022

Evolutionary approximation and neural architecture search.
Genet. Program. Evolvable Mach., 2022

Designing Approximate Arithmetic Circuits with Combined Error Constraints.
CoRR, 2022

RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks.
IEEE Access, 2022

Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Optimization of BDD-based Approximation Error Metrics Calculations.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Designing Approximate Arithmetic Circuits with Combined Error Constraints.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

ArithsGen: Arithmetic Circuit Generator for Hardware Accelerators.
Proceedings of the 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2022

2021
FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators.
IEEE Trans. Very Large Scale Integr. Syst., 2021

DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design.
Genet. Program. Evolvable Mach., 2021

Evolutionary Neural Architecture Search Supporting Approximate Multipliers.
Proceedings of the Genetic Programming - 24th European Conference, 2021

2020
Improving the Accuracy and Hardware Efficiency of Neural Networks Using Approximate Multipliers.
IEEE Trans. Very Large Scale Integr. Syst., 2020

Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Adaptive verifiability-driven strategy for evolutionary approximation of arithmetic circuits.
Appl. Soft Comput., 2020

Satisfiability Solving Meets Evolutionary Optimisation in Designing Approximate Circuits.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2020, 2020

NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2020

Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural Networks.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques.
IEEE Trans. Very Large Scale Integr. Syst., 2019

ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining.
Proceedings of the International Conference on Computer-Aided Design, 2019

Automated Circuit Approximation Method Driven by Data Distribution.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Automated Search-Based Functional Approximation for Digital Circuits.
Proceedings of the Approximate Circuits, Methodologies and CAD., 2019

2018
Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error.
IEEE Trans. Very Large Scale Integr. Syst., 2018

Role of circuit representation in evolutionary design of energy-efficient approximate circuits.
IET Comput. Digit. Tech., 2018

Design Space Exploration for Approximate Implementations of Arithmetic Data Path Primitives.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

Evolutionary design of large approximate adders optimized for various error criteria.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evolving boolean functions for fast and efficient randomness testing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

ADAC: Automated Design of Approximate Circuits.
Proceedings of the Computer Aided Verification - 30th International Conference, 2018

Design of Quality-Configurable Approximate Multipliers Suitable for Dynamic Environment.
Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems, 2018

2017
Trading between quality and non-functional properties of median filter in embedded systems.
Genet. Program. Evolvable Mach., 2017

Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap.
Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Approximating complex arithmetic circuits with formal error guarantees: 32-bit multipliers accomplished.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

Parallel optimization of transistor level circuits using cartesian genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards low power approximate DCT architecture for HEVC standard.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

EvoApproxSb: Library of approximate adders and multipliers for circuit design and benchmarking of approximation methods.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
Evolutionary functional approximation of circuits implemented into FPGAs.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Evolutionary design of polymorphic gates using ambipolar transistors.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Automatic design of arbitrary-size approximate sorting networks with error guarantee.
Proceedings of the 26th International Workshop on Power and Timing Modeling, 2016

Design of power-efficient approximate multipliers for approximate artificial neural networks.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

Automatic design of approximate circuits by means of multi-objective evolutionary algorithms.
Proceedings of the 2016 International Conference on Design and Technology of Integrated Systems in Nanoscale Era, 2016

2015
Evolutionary Approximation of Software for Embedded Systems: Median Function.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation.
Proceedings of the Genetic Programming - 18th European Conference, 2015

Automatic Design of Low-Power VLSI Circuits: Accurate and Approximate Multipliers.
Proceedings of the 13th IEEE International Conference on Embedded and Ubiquitous Computing, 2015

2014
Acceleration of transistor-level evolution using Xilinx Zynq Platform.
Proceedings of the 2014 IEEE International Conference on Evolvable Systems, 2014


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