18 citations · 25 across the 9 of their papers we have counts for
9 papers
High resolution Fluorescence lifetime IMaging Micro-Endoscopy (FLIMME) using a single multimode fiber
Victoria Fay, Ye Pu, Omer Tzang +6
Endoscopic optical imaging using a single multimode fiber (MMF) has emerged as a promising approach for highly compact, minimally invasive, and high-resolution imaging. Unlike conv…
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies
Yanan Niu, Demetri Psaltis, Christophe Moser +1
Accurate solar forecasting underpins effective renewable energy management. We present SolarCAST, a causally informed model predicting future global horizontal irradiance (GHI) at…
Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series
Yanan Niu, Roy Sarkis, Demetri Psaltis +3
Accurate intraday solar irradiance forecasting is crucial for optimizing dispatch planning and electricity trading. For this purpose, we introduce a novel and effective approach th…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
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…
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…
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…