Edward A. Rietman

According to our database, Edward A. Rietman authored at least 23 papers between 1988 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Signal Propagation: The Framework for Learning and Inference in a Forward Pass.

Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann

IEEE Trans. Neural Networks Learn. Syst., June, 2024

2023

On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks.

Peter DelMastro, Rushiv Arora, Edward A. Rietman, Hava T. Siegelmann

CoRR, 2023

Temporal Weights.

Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann

CoRR, 2023

Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits.

Ignacio Gavier, Joshua Russell, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Forward Signal Propagation Learning.

Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann

CoRR, 2022

Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation.

Devdhar Patel, Ignacio Gavier, Joshua Russell, Andrew Malinsky, Edward A. Rietman, Hava T. Siegelmann

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Content Addressable Parallel Processors on a FPGA.

Ayush Salik, Manor Askenazi, Edward A. Rietman

CoRR, 2021

2019

Deep Learning Regression of VLSI Plasma Etch Metrology.

Jack Kenney, John Valcore, Scott Riggs, Edward A. Rietman

CoRR, 2019

2018

Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning.

Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann

CoRR, 2018

2010

Using a Kernel Adatron for Object Classification with RCS Data

Marten F. Byl, James T. Demers, Edward A. Rietman

CoRR, 2010

2008

Evolution in Materio: Exploiting the Physics of Materials for Computation.

Simon L. Harding, Julian F. Miller, Edward A. Rietman

Int. J. Unconv. Comput., 2008

2006

Neural Computation with Rings of Quasiperiodic Oscillators

Edward A. Rietman, R. W. Hillis

CoRR, 2006

2003

Analog computation with rings of quasiperiodic oscillators: the microdynamics of cognition in living machines.

Edward A. Rietman, Mark W. Tilden, Manor Askenazi

Robotics Auton. Syst., 2003

1999

Evolving oscillators in silico.

Lorenz Huelsbergen, Edward A. Rietman, Robert Slous

IEEE Trans. Evol. Comput., 1999

1998

Evolution of Astable Multivibrators <i>in Silico</i>.

Lorenz Huelsbergen, Edward A. Rietman, Robert Slous

Proceedings of the Evolvable Systems: From Biology to Hardware, 1998

1996

Modeling and control of a semiconductor manufacturing process with an automata network: An example in plasma etch processing.

Edward A. Rietman, Suresh H. Patel, Earl R. Lory

Comput. Oper. Res., 1996

1993

Process models and network complexity.

Edward A. Rietman, Robert C. Frye, Earl R. Lory

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991

Back-propagation learning and nonidealities in analog neural network hardware.

Robert C. Frye, Edward A. Rietman, Chee C. Wong

IEEE Trans. Neural Networks, 1991

Neural Control of a Nonlinear System with Inherent Time Delays.

Edward A. Rietman, Robert C. Frye

Proceedings of the Conference on Analysis of Neural Network Applications, 1991

1990

Proximity Effect Corrections in Electron Beam Lithography.

Robert C. Frye, Kevin D. Cummings, Edward A. Rietman

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Computation of proximity effect corrections in electron beam lithography by a neural network.

Robert C. Frye, Edward A. Rietman, Kevin D. Cummings

Proceedings of the IJCNN 1990, 1990

1988

A large hybrid electro-optic computer for neural network applications.

C. D. Kornfeld, Robert C. Frye, Chee C. Wong, Edward A. Rietman

Neural Networks, 1988

An optically programmed neural network.

C. D. Kornfield, Robert C. Frye, Chee C. Wong, Edward A. Rietman

Proceedings of International Conference on Neural Networks (ICNN'88), 1988