Search Results - "Kirtas, M."
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1
Noise-resilient and high-speed deep learning with coherent silicon photonics
Published in Nature communications (23-09-2022)“…The explosive growth of deep learning applications has triggered a new era in computing hardware, targeting the efficient deployment of multiply-and-accumulate…”
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Journal Article -
2
Channel response-aware photonic neural network accelerators for high-speed inference through bandwidth-limited optics
Published in Optics express (28-03-2022)“…Photonic neural network accelerators (PNNAs) have been lately brought into the spotlight as a new class of custom hardware that can leverage the maturity of…”
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Journal Article -
3
Quantization-aware training for low precision photonic neural networks
Published in Neural networks (01-11-2022)“…Recent advances in Deep Learning (DL) fueled the interest in developing neuromorphic hardware accelerators that can improve the computational speed and energy…”
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Journal Article -
4
Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis
Published in 2020 28th European Signal Processing Conference (EUSIPCO) (24-01-2021)“…Photonic-based neuromorphic hardware holds the credentials for providing fast and energy efficient implementations of computationally complex Deep Learning…”
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Conference Proceeding -
5
Normalized Post-training Quantization for Photonic Neural Networks
Published in 2022 IEEE Symposium Series on Computational Intelligence (SSCI) (04-12-2022)“…The recent advances of Deep Learning (DL) have fueled the research of hardware accelerators, which can signif-icantly improve the computation speed and energy…”
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Conference Proceeding -
6
Combustion dynamics in a high aspect ratio engine
Published in Proceedings of the Combustion Institute (2002)“…A large eddy simulation (LES) based design tool for modeling rectangular cross-section, high aspect ratio (AR) combustors has been developed and tested against…”
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Journal Article -
7
Programmable Tanh-, ELU-, Sigmoid-, and Sin-based Nonlinear Activation Functions for Neuromorphic Photonics
Published in IEEE journal of selected topics in quantum electronics (01-11-2023)“…We demonstrate a programmable analog opto-electronic (OE) circuit that can be configured to provide a range of nonlinear activation functions for incoherent…”
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Journal Article -
8
Photonic Neural Networks and Optics-informed Deep Learning Fundamentals
Published 22-11-2023“…The recent explosive compute growth, mainly fueled by the boost of AI and DNNs, is currently instigating the demand for a novel computing paradigm that can…”
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Journal Article -
9
Learning photonic neural network initialization for noise-aware end-to-end fiber transmission
Published in 2022 30th European Signal Processing Conference (EUSIPCO) (29-08-2022)“…Deep Learning (DL) has dominated a wide range of applications due to its state-of-the-art performance. Novel approaches introduce Artificial Neural Networks…”
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Conference Proceeding -
10
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators
Published in 2024 Optical Fiber Communications Conference and Exhibition (OFC) (24-03-2024)“…We discuss our work in optics informed photonic neural networks, an architectural framework bridging the idiosyncrasy of integrated photonic architectures with…”
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Conference Proceeding -
11
Early Detection of DDoS Attacks using Photonic Neural Networks
Published in 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) (26-06-2022)“…Deep Learning (DL) has been extensively used in challenging tasks including security applications such as Distributed Denial of Service (DDoS) attacks…”
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Conference Proceeding -
12
Physics-inspired End-to-End Deep Learning for High-Performance Optical Fiber Transmission Links
Published in 2023 Conference on Lasers and Electro-Optics (CLEO) (01-05-2023)“…We experimentally demonstrate the performance improvements obtained through End-to-End Deep Learning in noise and chromatic dispersion compensation of optical…”
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Conference Proceeding