Recognitive Aspects of Moment Invariants. - Yaser S. Abu-Mostafa; Demetri Psaltis (IEEE Trans. Pattern Anal. Mach. Intell., 1984)

Image Normalization by Complex Moments. - Yaser S. Abu-Mostafa; Demetri Psaltis (IEEE Trans. Pattern Anal. Mach. Intell., 1985)

Optical Realization of Neural Network Models. - Demetri Psaltis (FJCC, 1986)

Optical Neural Networks. - Demetri Psaltis (COMPCON, 1987)

Experimental Demonstrations of Optical Neural Computers. - Ken Hsu; David Brady; Demetri Psaltis (NIPS, 1987)

Invariance and discrimination properties of the optical associative loop. - Ken Hsu; Demetri Psaltis (ICNN, 1988)

The emergence of generalization in networks with constrained representations. - Demetri Psaltis; Mark A. Neifeld (ICNN, 1988)

Fractal sampling grids for holographic optical interconnections. - Demetri Psaltis; Xiang-guang Gu (Neural Networks, 1988)

Higher order associative memories and their optical implementations. - Demetri Psaltis; Cheol Hoon Park; John Hong (Neural Networks, 1988)

Composite algorithms for shaping attraction basins. - Santosh S. Venkatesh; Girish Pancha; Demetri Psaltis (Neural Networks, 1988)

Optoelectronic implementations of neural networks. - Demetri Psaltis; Alan A. Yamamura; Ken Hsu; Steven Lin; Xiang-guang Gu; David Brady (IEEE Commun. Mag., 1989)

Linear and logarithmic capacities in associative neural networks. - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Inf. Theory, 1989)

Binary filters for pattern classification. - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Acoust. Speech Signal Process., 1989)

Asymptotic Slowing Down of the Nearest-Neighbor Classifier. - Robert R. Snapp; Demetri Psaltis; Santosh S. Venkatesh (NIPS, 1990)

Generalizing Smoothness Constraints from Discrete Samples. - Chuanyi Ji; Robert R. Snapp; Demetri Psaltis (Neural Comput., 1990)

Shaping attraction basins in neural networks. - Santosh S. Venkatesh; Girish Pancha; Demetri Psaltis; Gabriel Sirat (Neural Networks, 1990)

The VC-Dimension vs. the Statistical Capacity for Two Layer Networks with Binary Weights. - Chuanyi Ji; Demetri Psaltis (COLT, 1991)

Optical disks in optical computing. - Mark A. Neifeld; Alan A. Yamamura; Subrata Rakshit; Seiji Kobayashi; Demetri Psaltis (Compcon, 1991)

The VC-Dimension versus the Statistical Capacity of Multilayer Networks. - Chuanyi Ji; Demetri Psaltis (NIPS, 1991)

Bellman Strikes Again! The Growth Rate of Sample Complexity with Dimension for the Nearest Neighbor Classifier. - Santosh S. Venkatesh; Robert R. Snapp; Demetri Psaltis (COLT, 1992)

On Reliable Computation With Formal Neurons. - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

On the finite sample performance of the nearest neighbor classifier. - Demetri Psaltis; Robert R. Snapp; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1994)

Holographic 3D disks. - Demetri Psaltis; George Barbastathis; Allen Pu (ICECS, 1996)

Network Synthesis through Data-Driven Growth and Decay. - Chuanyi Ji; Demetri Psaltis (Neural Networks, 1997)

3-D measurements using conoscopy and application to ophthalmology. - Christophe Moser; George Barbastathis; Demetri Psaltis (EUSIPCO, 1998)

Holographic Data Storage. - Demetri Psaltis; Geoffrey W. Burr (Computer, 1998)

Capacity of Two-Layer Feedforward Neural Networks with Binary Weights. - Chuanyi Ji; Demetri Psaltis (IEEE Trans. Inf. Theory, 1998)

Holographic random access memory (HRAM). - Ernest Chuang; Wenhai Liu; Jean-Jacques P. Drolet; Demetri Psaltis (Proc. IEEE, 1999)

Optically Reconfigurable Gate Array. - Jose Mumbru; George Panotopoulos; Demetri Psaltis; Xin An; Gan Zhou; Fai Mok (AIPR, 2000)

Compact Holographic Read/Write Memory. - Wenhai Liu; Demetri Psaltis (IEEE Symposium on Mass Storage Systems, 2000)

The Match Fit Algorithm: A Testbed for the Computational Motivation of Attention. - Joseph G. Billock; Demetri Psaltis; Christof Koch (International Conference on Computational Science (2), 2001)

Real-time hyperspectral imaging with volume holographic optical elements. - Wenhai Liu; Demetri Psaltis; George Barbastathis; Arnab Sinha (ICIP (2), 2001)

Correction to "Linear and Logarithmic Capacities in Associative Neural Networks". - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Inf. Theory, 2007)

Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization. - Ulugbek S. Kamilov; Ioannis N. Papadopoulos; Morteza H. Shoreh; Alexandre Goy 001; Cédric Vonesch; Michael Unser; Demetri Psaltis (IEEE Trans. Computational Imaging, 2016)

Optical Tomography based on a nonlinear model that handles multiple scattering. - Morteza Hasani Shoreh; Alexandre Goy 001; JooWon Lim; Ulugbek Kamilov; Michael Unser; Demetri Psaltis (ICASSP, 2017)

Phaseless diffraction tomography with regularized beam propagation. - Thanh-An Pham; Emmanuel Soubies; JooWon Lim; Alexandre Goy 001; Ferréol Soulez; Demetri Psaltis; Michael Unser (ISBI, 2018)

Image Transmission Through Multimode Fibers. - Demetri Psaltis (OFC, 2018)

Deep-learning PDEs with unlabeled data and hardwiring physics laws. - S. Mohammad H. Hashemi; Demetri Psaltis (CoRR, 2019)

Multimode Fiber Projector. - Babak Rahmani; Damien Loterie; Eirini Kakkava; Navid Borhani; Ugur Tegin; Demetri Psaltis; Christophe Moser (CoRR, 2019)

Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. - Thanh-An Pham; Emmanuel Soubies; Ahmed B. Ayoub; Demetri Psaltis; Michael Unser (ISBI, 2020)

Optical Neural Networks: The 3D connection. - Niyazi Ulas Dinç; Demetri Psaltis; Daniel Brunner (CoRR, 2020)

Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media. - Babak Rahmani; Damien Loterie; Eirini Kakkava; Navid Borhani; Ugur Tegin; Demetri Psaltis; Christophe Moser (Nat. Mach. Intell., 2020)

Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model. - Thanh-An Pham; Emmanuel Soubies; Ahmed B. Ayoub; JooWon Lim; Demetri Psaltis; Michael Unser (IEEE Trans. Computational Imaging, 2020)

Learning to See and Compute through Multimode Fibers. - Babak Rahmani; Ugur Tegin; Mustafa Yildirim; Ilker Oguz; Damien Loterie; Eirini Kakkava; Navid Borhani; Demetri Psaltis; Christophe Moser (OFC, 2021)

Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media. - Babak Rahmani; Demetri Psaltis; Christophe Moser (CoRR, 2021)

Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural network. - Ugur Tegin; Niyazi Ulas Dinç; Christophe Moser; Demetri Psaltis (Nat. Mach. Intell., 2021)

Scalable optical learning operator. - Ugur Tegin; Mustafa Yildirim; Ilker Oguz; Christophe Moser; Demetri Psaltis (Nat. Comput. Sci., 2021)

Natural image synthesis for the retina with variational information bottleneck representation. - Babak Rahmani; Demetri Psaltis; Christophe Moser (NeurIPS, 2022)

Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN). - Ahmed B. Ayoub; Amirhossein Saba; Carlo Gigli; Demetri Psaltis (CoRR, 2022)

Physics-informed neural networks for diffraction tomography. - Amirhossein Saba; Carlo Gigli; Ahmed B. Ayoub; Demetri Psaltis (CoRR, 2022)

Programming Nonlinear Propagation for Efficient Optical Learning Machines. - Ilker Oguz; Jih-Liang Hsieh; Niyazi Ulas Dinç; Ugur Tegin; Mustafa Yildirim; Carlo Gigli; Christophe Moser; Demetri Psaltis (CoRR, 2022)

Nonlinear Optical Data Transformer for Machine Learning. - Mustafa Yildirim; Ilker Oguz; Fabian Kaufmann; Marc Reig Escale; Rachel Grange; Demetri Psaltis; Christophe Moser (CoRR, 2022)

Forward-Forward Training of an Optical Neural Network. - Ilker Oguz; Junjie Ke; Qifei Wang; Feng Yang; Mustafa Yildirim; Niyazi Ulas Dinç; Jih-Liang Hsieh; Christophe Moser; Demetri Psaltis (CoRR, 2023)

Nonlinear Processing with Linear Optics. - Mustafa Yildirim; Niyazi Ulas Dinç; Ilker Oguz; Demetri Psaltis; Christophe Moser (CoRR, 2023)

Optical Diffusion Models for Image Generation. - Ilker Oguz; Niyazi Ulas Dinç; Mustafa Yildirim; Junjie Ke; Innfarn Yoo; Qifei Wang; Feng Yang; Christophe Moser; Demetri Psaltis (NeurIPS, 2024)

Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor. - Jingtian Hu; Kun Liao; Niyazi Ulas Dinç; Carlo Gigli; Bijie Bai; Tianyi Gan; Xurong Li; Hanlong Chen; Xilin Yang; Yuhang Li; Çagatay Isil; Md Sadman Sakib Rahman; et al. (CoRR, 2024)

Multicasting Optical Reconfigurable Switch. - Niyazi Ulas Dinç; Mustafa Yildirim; Christophe Moser; Demetri Psaltis (CoRR, 2024)

Solar Multimodal Transformer: Intraday Solar Irradiance Predictor Using Public Cameras and Time Series. - Yanan Niu; Roy Sarkis; Demetri Psaltis; Mario Paolone; Christophe Moser; Luisa Lambertini (WACV, 2025)

Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins. - Ilker Oguz; Louis J. E. Suter; Jih-Liang Hsieh; Mustafa Yildirim; Niyazi Ulas Dinç; Christophe Moser; Demetri Psaltis (CoRR, 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)