Georgios Zervakis

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 35

Top Topics

Multilayer Perceptron

Decision Tree Algorithms

Top Venues

IEEE Trans. Computers

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. CoRR (2024)
Jennifer Volk, Panagiotis Papanikolaou, Georgios Zervakis, Georgios Tzimpragos
Synthesis of Resource-Efficient Superconducting Circuits with Clock-Free Alternating Logic. CoRR (2024)
Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori
Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. DATE (2024)
Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris
On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. DATE (2024)
Priyanjana Pal, Florentia Afentaki, Haibin Zhao, Gurol Saglam, Michael Hefenbrock, Georgios Zervakis, Michael Beigl, Mehdi B. Tahoori
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. ETS (2024)
Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel
TransAxx: Efficient Transformers with Approximate Computing. CoRR (2024)
Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs. CoRR (2024)
Vojtech Mrazek, Argyris Kokkinis, Panagiotis Papanikolaou, Zdenek Vasícek, Kostas Siozios, Georgios Tzimpragos, Mehdi Baradaran Tahoori, Georgios Zervakis
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. CoRR (2024)
Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. DATE (2023)
Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris, Jörg Henkel
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jörg Henkel
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. CoRR (2023)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. CoRR (2023)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. IEEE Trans. Computers 72 (9) (2023)
Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. CoRR (2023)
Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. CoRR (2023)
Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. CoRR (2023)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. CoRR (2023)
Ourania Spantidi, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, Iraklis Anagnostopoulos
Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. IEEE Trans. Emerg. Top. Comput. 11 (1) (2023)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. ICCAD (2023)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. ACM Comput. Surv. 55 (4) (2023)
Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. CoRR (2022)
Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis
Approximate Computing and the Efficient Machine Learning Expedition. ICCAD (2022)
Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits. CoRR (2022)
Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis
Approximate Computing and the Efficient Machine Learning Expedition. CoRR (2022)
Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel
Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Sami Salamin, Georgios Zervakis, Florian Klemme, Hammam Kattan, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch
Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU. IEEE Trans. Computers 71 (4) (2022)
Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios
Automated Design Approximation to Overcome Circuit Aging. CoRR (2022)
Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Ourania Spantidi, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch
Thermal-Aware Design for Approximate DNN Accelerators. IEEE Trans. Computers 71 (10) (2022)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
Cross-Layer Approximation For Printed Machine Learning Circuits. CoRR (2022)
Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (10) (2022)
Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits. ISQED (2022)
Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris, Jörg Henkel
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. CoRR (2022)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel
Cross-Layer Approximation For Printed Machine Learning Circuits. DATE (2022)
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. CoRR (2022)