4 citations · 7 across the 2 of their papers we have counts for
3 papers
physics.optics2024
Programming the scalable optical learning operator with spatial-spectral optimization
Yi Zhou, Jih-Liang Hsieh, Ilker Oguz +6
Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high en…
physics.optics2022★ 3 cited
Nonlinear Optical Data Transformer for Machine Learning
Mustafa Yildirim, Ilker Oguz, Fabian Kaufmann +4
Modern machine learning models use an ever-increasing number of parameters to train (175 billion parameters for GPT-3) with large datasets to obtain better performance. Bigger is b…
cs.ET2022★ 4 cited
Programming Nonlinear Propagation for Efficient Optical Learning Machines
Ilker Oguz, Jih-Liang Hsieh, Niyazi Ulas Dinc +5
The ever-increasing demand for processing data with larger machine learning models requires more efficient hardware solutions due to limitations such as power dissipation and scala…