Andrew Pomerance

According to our database, Andrew Pomerance authored at least 13 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.

Alexander Wikner, Joseph Harvey, Michelle Girvan, Brian R. Hunt, Andrew Pomerance, Thomas M. Antonsen Jr., Edward Ott

Neural Networks, 2024

Estimating the Unpredictability of Multi-Bit Strong PUF Classes.

Ahmed S. Bendary, Wendson A. S. Barbosa, Andrew Pomerance, C. Emre Koksal

IACR Cryptol. ePrint Arch., 2024

2022

Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks.

Noeloikeau F. Charlot, Daniel J. Gauthier, Daniel Canaday, Andrew Pomerance

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2022

A Novel Attack on Machine-Learning Resistant Physical Unclonable Functions.

Daniel Canaday, Wendson A. S. Barbosa, Andrew Pomerance

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2022

2021

A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data.

Daniel Canaday, Andrew Pomerance, Michelle Girvan

CoRR, 2021

High-Resolution Waveform Capture Device on a Cyclone-V FPGA.

Noeloikeau F. Charlot, Daniel J. Gauthier, Andrew Pomerance

IEEE Access, 2021

Hybrid Boolean Networks as Physically Unclonable Functions.

Noeloikeau F. Charlot, Daniel Canaday, Andrew Pomerance, Daniel J. Gauthier

IEEE Access, 2021

Unconditional Authentication for Constrained Applications via Strong PUFs.

Ahmed S. Bendary, C. Emre Koksal, Daniel Canaday, Andrew Pomerance

Proceedings of the IEEE Conference on Communications and Network Security, 2021

2020

Model-Free Control of Dynamical Systems with Deep Reservoir Computing.

Daniel Canaday, Andrew Pomerance, Daniel J. Gauthier

CoRR, 2020

Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems.

Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott

CoRR, 2020

2019

Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers.

Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier

CoRR, 2019

Transient Response of Hybrid Boolean Networks as Physical Unclonable Functions.

Daniel Canaday, Noeloikeau F. Charlot, Andrew Pomerance, Daniel J. Gauthier

CoRR, 2019

2010

Developing a Stochastic Dynamic Programming Framework for Optical Tweezer-Based Automated Particle Transport Operations.

Ashis Gopal Banerjee, Andrew Pomerance, Wolfgang Losert, Satyandra K. Gupta

IEEE Trans Autom. Sci. Eng., 2010