Demetri Psaltis

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 26

Top Topics

Tomographic Image Reconstruction

Diffusion Models

Top Venues

IEEE Trans. Computational Imaging

Nat. Mach. Intell.

Publications

Ilker Oguz, Niyazi Ulas Dinç, Mustafa Yildirim, Junjie Ke, Innfarn Yoo, Qifei Wang, Feng Yang, Christophe Moser, Demetri Psaltis
Optical Diffusion Models for Image Generation. CoRR (2024)
Ali Momeni, 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, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury
Training of Physical Neural Networks. CoRR (2024)
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, Jingxi Li, Xiaoyong Hu, Mona Jarrahi, Demetri Psaltis, Aydogan Ozcan
Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor. CoRR (2024)
Niyazi Ulas Dinç, Mustafa Yildirim, Christophe Moser, Demetri Psaltis
Multicasting Optical Reconfigurable Switch. CoRR (2024)
Ilker Oguz, Junjie Ke, Qifei Wang, Feng Yang, Mustafa Yildirim, Niyazi Ulas Dinç, Jih-Liang Hsieh, Christophe Moser, Demetri Psaltis
Forward-Forward Training of an Optical Neural Network. CoRR (2023)
Mustafa Yildirim, Niyazi Ulas Dinç, Ilker Oguz, Demetri Psaltis, Christophe Moser
Nonlinear Processing with Linear Optics. CoRR (2023)
Mustafa Yildirim, Ilker Oguz, Fabian Kaufmann, Marc Reig Escale, Rachel Grange, Demetri Psaltis, Christophe Moser
Nonlinear Optical Data Transformer for Machine Learning. CoRR (2022)
Babak Rahmani, Demetri Psaltis, Christophe Moser
Natural image synthesis for the retina with variational information bottleneck representation. NeurIPS (2022)
Amirhossein Saba, Carlo Gigli, Ahmed B. Ayoub, Demetri Psaltis
Physics-informed neural networks for diffraction tomography. CoRR (2022)
Ilker Oguz, Jih-Liang Hsieh, Niyazi Ulas Dinç, Ugur Tegin, Mustafa Yildirim, Carlo Gigli, Christophe Moser, Demetri Psaltis
Programming Nonlinear Propagation for Efficient Optical Learning Machines. CoRR (2022)
Ahmed B. Ayoub, Amirhossein Saba, Carlo Gigli, Demetri Psaltis
Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN). CoRR (2022)
Ugur Tegin, Niyazi Ulas Dinç, Christophe Moser, Demetri Psaltis
Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural network. Nat. Mach. Intell. 3 (5) (2021)
Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Christophe Moser, Demetri Psaltis
Scalable optical learning operator. Nat. Comput. Sci. 1 (8) (2021)
Babak Rahmani, Demetri Psaltis, Christophe Moser
Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media. CoRR (2021)
Babak Rahmani, Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Damien Loterie, Eirini Kakkava, Navid Borhani, Demetri Psaltis, Christophe Moser
Learning to See and Compute through Multimode Fibers. OFC (2021)
Niyazi Ulas Dinç, Demetri Psaltis, Daniel Brunner
Optical Neural Networks: The 3D connection. CoRR (2020)
Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser
Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media. Nat. Mach. Intell. 2 (7) (2020)
Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, JooWon Lim, Demetri Psaltis, Michael Unser
Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model. IEEE Trans. Computational Imaging 6 (2020)
Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Christophe Moser, Demetri Psaltis
Scalable Optical Learning Operator. CoRR (2020)
Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, Demetri Psaltis, Michael Unser
Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. ISBI (2020)
Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser
Multimode Fiber Projector. CoRR (2019)
S. Mohammad H. Hashemi, Demetri Psaltis
Deep-learning PDEs with unlabeled data and hardwiring physics laws. CoRR (2019)
Demetri Psaltis
Image Transmission Through Multimode Fibers. OFC (2018)
Thanh-An Pham, Emmanuel Soubies, JooWon Lim, Alexandre Goy, Ferréol Soulez, Demetri Psaltis, Michael Unser
Phaseless diffraction tomography with regularized beam propagation. ISBI (2018)
Morteza Hasani Shoreh, Alexandre Goy, JooWon Lim, Ulugbek Kamilov, Michael Unser, Demetri Psaltis
Optical Tomography based on a nonlinear model that handles multiple scattering. ICASSP (2017)
Ulugbek S. Kamilov, Ioannis N. Papadopoulos, Morteza H. Shoreh, Alexandre Goy, Cédric Vonesch, Michael Unser, Demetri Psaltis
Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization. IEEE Trans. Computational Imaging 2 (1) (2016)
Santosh S. Venkatesh, Demetri Psaltis
Correction to "Linear and Logarithmic Capacities in Associative Neural Networks". IEEE Trans. Inf. Theory 53 (2) (2007)
Joseph G. Billock, Demetri Psaltis, Christof Koch
The Match Fit Algorithm: A Testbed for the Computational Motivation of Attention. International Conference on Computational Science (2) (2001)
Wenhai Liu, Demetri Psaltis, George Barbastathis, Arnab Sinha
Real-time hyperspectral imaging with volume holographic optical elements. ICIP (2) (2001)
Jose Mumbru, George Panotopoulos, Demetri Psaltis, Xin An, Gan Zhou, Fai Mok
Optically Reconfigurable Gate Array. AIPR (2000)
Wenhai Liu, Demetri Psaltis
Compact Holographic Read/Write Memory. IEEE Symposium on Mass Storage Systems (2000)
Ernest Chuang, Wenhai Liu, Jean-Jacques P. Drolet, Demetri Psaltis
Holographic random access memory (HRAM). Proc. IEEE 87 (11) (1999)
Chuanyi Ji, Demetri Psaltis
Capacity of Two-Layer Feedforward Neural Networks with Binary Weights. IEEE Trans. Inf. Theory 44 (1) (1998)
Demetri Psaltis, Geoffrey W. Burr
Holographic Data Storage. Computer 31 (2) (1998)
Christophe Moser, George Barbastathis, Demetri Psaltis
3-D measurements using conoscopy and application to ophthalmology. EUSIPCO (1998)
Chuanyi Ji, Demetri Psaltis
Network Synthesis through Data-Driven Growth and Decay. Neural Networks 10 (6) (1997)
Demetri Psaltis, George Barbastathis, Allen Pu
Holographic 3D disks. ICECS (1996)
Demetri Psaltis, Robert R. Snapp, Santosh S. Venkatesh
On the finite sample performance of the nearest neighbor classifier. IEEE Trans. Inf. Theory 40 (3) (1994)
Santosh S. Venkatesh, Demetri Psaltis
On Reliable Computation With Formal Neurons. IEEE Trans. Pattern Anal. Mach. Intell. 14 (1) (1992)
Santosh S. Venkatesh, Robert R. Snapp, Demetri Psaltis
Bellman Strikes Again! The Growth Rate of Sample Complexity with Dimension for the Nearest Neighbor Classifier. COLT (1992)
Chuanyi Ji, Demetri Psaltis
The VC-Dimension vs. the Statistical Capacity for Two Layer Networks with Binary Weights. COLT (1991)
Chuanyi Ji, Demetri Psaltis
The VC-Dimension versus the Statistical Capacity of Multilayer Networks. NIPS (1991)
Mark A. Neifeld, Alan A. Yamamura, Subrata Rakshit, Seiji Kobayashi, Demetri Psaltis
Optical disks in optical computing. Compcon (1991)
Chuanyi Ji, Robert R. Snapp, Demetri Psaltis
Generalizing Smoothness Constraints from Discrete Samples. Neural Comput. 2 (2) (1990)
Santosh S. Venkatesh, Girish Pancha, Demetri Psaltis, Gabriel Sirat
Shaping attraction basins in neural networks. Neural Networks 3 (6) (1990)
Robert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh
Asymptotic Slowing Down of the Nearest-Neighbor Classifier. NIPS (1990)
Demetri Psaltis, Alan A. Yamamura, Ken Hsu, Steven Lin, Xiang-guang Gu, David Brady
Optoelectronic implementations of neural networks. IEEE Commun. Mag. 27 (11) (1989)
Santosh S. Venkatesh, Demetri Psaltis
Linear and logarithmic capacities in associative neural networks. IEEE Trans. Inf. Theory 35 (3) (1989)
Santosh S. Venkatesh, Demetri Psaltis
Binary filters for pattern classification. IEEE Trans. Acoust. Speech Signal Process. 37 (4) (1989)
Demetri Psaltis, Mark A. Neifeld
The emergence of generalization in networks with constrained representations. ICNN (1988)
Demetri Psaltis, Cheol Hoon Park, John Hong
Higher order associative memories and their optical implementations. Neural Networks 1 (2) (1988)
Ken Hsu, Demetri Psaltis
Invariance and discrimination properties of the optical associative loop. ICNN (1988)
Demetri Psaltis, Xiang-guang Gu
Fractal sampling grids for holographic optical interconnections. Neural Networks 1 (Supplement-1) (1988)
Santosh S. Venkatesh, Girish Pancha, Demetri Psaltis
Composite algorithms for shaping attraction basins. Neural Networks 1 (Supplement-1) (1988)
Demetri Psaltis
Optical Neural Networks. COMPCON (1987)
Ken Hsu, David Brady, Demetri Psaltis
Experimental Demonstrations of Optical Neural Computers. NIPS (1987)
Demetri Psaltis
Optical Realization of Neural Network Models. FJCC (1986)
Yaser S. Abu-Mostafa, Demetri Psaltis
Image Normalization by Complex Moments. IEEE Trans. Pattern Anal. Mach. Intell. 7 (1) (1985)
Yaser S. Abu-Mostafa, Demetri Psaltis
Recognitive Aspects of Moment Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 6 (6) (1984)