Manos Kirtas

According to our database, Manos Kirtas authored at least 22 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Mixed-precision quantization-aware training for photonic neural networks.

Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas

Neural Comput. Appl., October, 2023

Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models.

Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Photonic Neural Networks and Optics-informed Deep Learning Fundamentals.

Apostolos Tsakyridis, Miltiadis Moralis-Pegios, George Giamougiannis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros

CoRR, 2023

Non-negative isomorphic neural networks for photonic neuromorphic accelerators.

Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas

CoRR, 2023

Multiplicative update rules for accelerating deep learning training and increasing robustness.

Manos Kirtas, Nikolaos Passalis, Anastasios Tefas

CoRR, 2023

DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update.

Apostolos Tsakyridis, George Giamougiannis, Miltiadis Moralis-Pegios, George Mourgias-Alexandris, Angelina Totovic, George Dabos, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Elad Mentovich, Nikos Pleros

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors.

Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Quantization-Aware Training for Mixed Precision Photonic Neural Networks.

Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Calibration of a Photonic Neural Network Considering Fabrication Tolerances.

Onur Düzgöl, Manos Kirtas, Nikolaos Passalis, André Richter

Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

2022

Quantization-aware training for low precision photonic neural networks.

Manos Kirtas, Athina Oikonomou, Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas

Neural Networks, 2022

WDM equipped universal linear optics for programmable neuromorphic photonic processors.

Angelina Totovic, Christos Pappas, Manos Kirtas, Apostolos Tsakyridis, George Giamougiannis, Nikolaos Passalis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros

Neuromorph. Comput. Eng., 2022

Normalized Post-training Quantization for Photonic Neural Networks.

Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models.

Miltiadis Moralis-Pegios, Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Nikos Pleros

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Early Detection of DDoS Attacks using Photonic Neural Networks.

Manos Kirtas, Nikolaos Passalis, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Nikos Pleros, Anastasios Tefas

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Learning photonic neural network initialization for noise-aware end-to-end fiber transmission.

Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas

Proceedings of the 30th European Signal Processing Conference, 2022

A Robust, Quantization-Aware Training Method for Photonic Neural Networks.

Athina Oikonomou, Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate.

George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Stelios Simos, George Dabos, Nikos Passalis, Manos Kirtas, Teerapat Rutirawut, Frederic Y. Gardes, Anastasios Tefas, Nikos Pleros

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits.

Nikos Pleros, Miltiadis Moralis-Pegios, Angelina Totovic, George Dabos, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, Nikos Passalis, Manos Kirtas, Anastasios Tefas

Proceedings of the European Conference on Optical Communication, 2021

25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training.

George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Teerapat Rutirawut, Frederic Y. Gardes, Nikos Pleros, Miltiadis Moralis-Pegios

Proceedings of the European Conference on Optical Communication, 2021

Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells.

George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Angelina Totovic, George Dabos, Nikos Passalis, Manos Kirtas, Nikos Bamiedakis, Anastasios Tefas, David Lazovsky, Nikos Pleros

Proceedings of the European Conference on Optical Communication, 2021

2020

Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics.

Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis.

Nikolaos Passalis, Manos Kirtas, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas

Proceedings of the 28th European Signal Processing Conference, 2020