18 citations · 21 across the 5 of their papers we have counts for
6 papers · 1 filter
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
Ilker Oguz, Louis J. E. Suter, Jih-Liang Hsieh +4
The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. However, their exponentially increasing si…
Optical Diffusion Models for Image Generation
Ilker Oguz, Niyazi Ulas Dinc, Mustafa Yildirim +6
Diffusion models generate new samples by progressively decreasing the noise from the initially provided random distribution. This inference procedure generally utilizes a trained n…
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…
Multicasting Optical Reconfigurable Switch
Niyazi Ulas Dinc, Mustafa Yildirim, Ilker Oguz +2
Artificial Intelligence (AI) demands large data flows within datacenters, heavily relying on multicasting data transfers. As AI models scale, the requirement for high-bandwidth and…
Nonlinear Processing with Linear Optics
Mustafa Yildirim, Niyazi Ulas Dinc, Ilker Oguz +2
Deep neural networks have achieved remarkable breakthroughs by leveraging multiple layers of data processing to extract hidden representations, albeit at the cost of large electron…
Scalable Optical Learning Operator
Uğur Teğin, Mustafa Yıldırım, İlker Oğuz +2
Today's heavy machine learning tasks are fueled by large datasets. Computing is performed with power hungry processors whose performance is ultimately limited by the data transfer…