Andrew Pomerance

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 14

Top Topics

Boolean Networks

Transient Response

Machine Learning

Gene Regulatory Networks

Top Venues

Publications

Ahmed S. Bendary, Wendson A. S. Barbosa, Andrew Pomerance, C. Emre Koksal
Estimating the Unpredictability of Multi-Bit Strong PUF Classes. IACR Cryptol. ePrint Arch. 2024 (2024)
Alexander Wikner, Joseph Harvey, Michelle Girvan, Brian R. Hunt, Andrew Pomerance, Thomas M. Antonsen Jr., Edward Ott
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. Neural Networks 170 (2024)
Noeloikeau F. Charlot, Daniel J. Gauthier, Daniel Canaday, Andrew Pomerance
Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks. HOST (2022)
Noeloikeau F. Charlot, Daniel J. Gauthier, Daniel Canaday, Andrew Pomerance
Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks. CoRR (2022)
Daniel Canaday, Wendson A. S. Barbosa, Andrew Pomerance
A Novel Attack on Machine-Learning Resistant Physical Unclonable Functions. HOST (2022)
Ahmed S. Bendary, C. Emre Koksal, Daniel Canaday, Andrew Pomerance
Unconditional Authentication for Constrained Applications via Strong PUFs. CNS (2021)
Daniel Canaday, Andrew Pomerance, Michelle Girvan
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data. CoRR (2021)
Noeloikeau F. Charlot, Daniel J. Gauthier, Andrew Pomerance
High-Resolution Waveform Capture Device on a Cyclone-V FPGA. CoRR (2021)
Noeloikeau F. Charlot, Daniel J. Gauthier, Andrew Pomerance
High-Resolution Waveform Capture Device on a Cyclone-V FPGA. IEEE Access 9 (2021)
Noeloikeau F. Charlot, Daniel Canaday, Andrew Pomerance, Daniel J. Gauthier
Hybrid Boolean Networks as Physically Unclonable Functions. IEEE Access 9 (2021)
Daniel Canaday, Andrew Pomerance, Daniel J. Gauthier
Model-Free Control of Dynamical Systems with Deep Reservoir Computing. CoRR (2020)
Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems. CoRR (2020)
Daniel Canaday, Noeloikeau F. Charlot, Andrew Pomerance, Daniel J. Gauthier
Transient Response of Hybrid Boolean Networks as Physical Unclonable Functions. CoRR (2019)
Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers. CoRR (2019)
Ashis Gopal Banerjee, Andrew Pomerance, Wolfgang Losert, Satyandra K. Gupta
Developing a Stochastic Dynamic Programming Framework for Optical Tweezer-Based Automated Particle Transport Operations. IEEE Trans Autom. Sci. Eng. 7 (2) (2010)