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Edward A. Rietman
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2020 – today
- 2024
- [j7]Adam A. Kohan
, Edward A. Rietman, Hava T. Siegelmann:
Signal Propagation: The Framework for Learning and Inference in a Forward Pass. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8585-8596 (2024) - 2023
- [c8]Ignacio Gavier, Joshua Russell, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann:
Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits. IPDPS 2023: 613-623 - [i8]Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann:
Temporal Weights. CoRR abs/2301.04126 (2023) - [i7]Peter DelMastro
On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks. CoRR abs/2306.07125 (2023) - 2022
- [c7]Devdhar Patel, Ignacio Gavier, Joshua Russell, Andrew Malinsky, Edward A. Rietman, Hava T. Siegelmann:
Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation. IJCNN 2022: 1-8 - [i6]Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann:
Forward Signal Propagation Learning. CoRR abs/2204.01723 (2022) - 2021
- [i5]Ayush Salik, Manor Askenazi, Edward A. Rietman:
Content Addressable Parallel Processors on a FPGA. CoRR abs/2106.11376 (2021)
2010 – 2019
- 2019
- [i4]Jack Kenney, John Valcore, Scott Riggs, Edward A. Rietman:
Deep Learning Regression of VLSI Plasma Etch Metrology. CoRR abs/1910.10067 (2019) - 2018
- [i3]Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann:
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning. CoRR abs/1808.03357 (2018) - 2010
- [i2]Marten F. Byl, James T. Demers, Edward A. Rietman:
Using a Kernel Adatron for Object Classification with RCS Data. CoRR abs/1005.5337 (2010)
2000 – 2009
- 2008
- [j6]Simon L. Harding, Julian F. Miller, Edward A. Rietman:
Evolution in Materio: Exploiting the Physics of Materials for Computation. Int. J. Unconv. Comput. 4(2): 155-194 (2008) - 2006
- [i1]Edward A. Rietman, R. W. Hillis:
Neural Computation with Rings of Quasiperiodic Oscillators. CoRR abs/cs/0611136 (2006) - 2003
- [j5]Edward A. Rietman, Mark W. Tilden, Manor Askenazi
Analog computation with rings of quasiperiodic oscillators: the microdynamics of cognition in living machines. Robotics Auton. Syst. 45(3-4): 249-263 (2003)
1990 – 1999
- 1999
- [j4]Lorenz Huelsbergen, Edward A. Rietman, Robert Slous:
Evolving oscillators in silico. IEEE Trans. Evol. Comput. 3(3): 197-204 (1999) - 1998
- [c6]Lorenz Huelsbergen, Edward A. Rietman, Robert Slous:
Evolution of Astable Multivibrators in Silico. ICES 1998: 66-77 - 1996
- [j3]Edward A. Rietman, Suresh H. Patel, Earl R. Lory:
Modeling and control of a semiconductor manufacturing process with an automata network: An example in plasma etch processing. Comput. Oper. Res. 23(6): 573-585 (1996) - 1993
- [c5]Edward A. Rietman, Robert C. Frye, Earl R. Lory:
Process models and network complexity. ICNN 1993: 1265-1269 - 1991
- [j2]Robert C. Frye, Edward A. Rietman, Chee C. Wong:
Back-propagation learning and nonidealities in analog neural network hardware. IEEE Trans. Neural Networks 2(1): 110-117 (1991) - [c4]Edward A. Rietman, Robert C. Frye:
Neural Control of a Nonlinear System with Inherent Time Delays. Conference on Analysis of Neural Network Applications 1991: 140-145 - 1990
- [c3]Robert C. Frye, Edward A. Rietman, Kevin D. Cummings:
Computation of proximity effect corrections in electron beam lithography by a neural network. IJCNN 1990: 7-14 - [c2]Robert C. Frye, Kevin D. Cummings, Edward A. Rietman:
Proximity Effect Corrections in Electron Beam Lithography. NIPS 1990: 443-449
1980 – 1989
- 1988
- [j1]C. D. Kornfeld, Robert C. Frye, Chee C. Wong, Edward A. Rietman:
A large hybrid electro-optic computer for neural network applications. Neural Networks 1(Supplement-1): 388 (1988) - [c1]C. D. Kornfield, Robert C. Frye, Chee C. Wong, Edward A. Rietman:
An optically programmed neural network. ICNN 1988: 357-364
Coauthor Index
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