Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis. - Nikolaos Passalis; Manos Kirtas; George Mourgias-Alexandris; George Dabos; Nikos Pleros; Anastasios Tefas (EUSIPCO, 2020)

Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. - Manos Kirtas; Konstantinos Tsampazis; Nikolaos Passalis; Anastasios Tefas (AIAI (2), 2020)

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 (ECOC, 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 (ECOC, 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 (ECOC, 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 (OFC, 2021)

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 (EANN, 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 (EUSIPCO, 2022)

Early Detection of DDoS Attacks using Photonic Neural Networks. - Manos Kirtas; Nikolaos Passalis; Dimitrios Kalavrouziotis; Dimitris Syrivelis; Paraskevas Bakopoulos; Nikos Pleros; Anastasios Tefas (IVMSP, 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 (OFC, 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 (SSCI, 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)

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)

Calibration of a Photonic Neural Network Considering Fabrication Tolerances. - Onur Düzgöl; Manos Kirtas; Nikolaos Passalis; André Richter (ICTON, 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 (MLSP, 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 (MLSP, 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; et al. (OFC, 2023)

Using Part-Based Representations for Explainable Deep Reinforcement Learning. - Manos Kirtas; Konstantinos Tsampazis; Loukia Avramelou; Nikolaos Passalis; Anastasios Tefas (PKDD/ECML Workshops (2), 2023)

Non-negative isomorphic neural networks for photonic neuromorphic accelerators. - Manos Kirtas; Nikolaos Passalis; Nikolaos Pleros; Anastasios Tefas (CoRR, 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)

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., 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., 2023)

Quantization-Aware Training for Multi-Agent Reinforcement Learning. - Nikolaos Chandrinos; Michalis Amasialidis; Manos Kirtas; Konstantinos Tsampazis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2024)

Multiplicative RMSprop Using Gradient Normalization for Learning Acceleration. - Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (ICPR (29), 2024)

Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators. - Miltiadis Moralis-Pegios; Apostolos Tsakyridis; Christos Pappas; Theodoros Moschos; George Giamougiannis; Stefanos Kovaios; Ioannis Roumpos; Manos Kirtas; Nikos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2024)

A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures. - Christos Pappas; Theodoros Moschos; Miltiadis Moralis-Pegios; George Giamougiannis; Apostolos Tsakyridis; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2024)

Multiplicative update rules for accelerating deep learning training and increasing robustness. - Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2024)

A Time-Space-Wavelength Multiplexed AWGR-based Photonic Tensor Core using WDM SiGe EAM array chiplets. - Antonios Prapas; Miltiadis Moralis-Pegios; Apostolos Tsakyridis; Stefanos Kovaios; Odysseas Asimopoulos; Christos Pappas; Theodoros Moschos; Manos Kirtas; Nikolaos Passalis; K. Vyrsokinos; Anastasios Tefas; Nikos Pleros (OFC, 2025)

Sign potential-driven multiplicative optimization for robust deep reinforcement learning. - Loukia Avramelou; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2025)

A 262 TOPS Hyperdimensional Photonic AI Accelerator powered by a Si3N4 microcomb laser. - Christos Pappas; Antonios Prapas; Theodoros Moschos; Manos Kirtas; Odysseas Asimopoulos; Apostolos Tsakyridis; Miltiadis Moralis-Pegios; Chris Vagionas; Nikolaos Passalis; Cagri Ozdilek; Timofey Shpakovsky; Alain Yuji Takabayashi; et al. (CoRR, 2025)