Gina C. Adam

Orcid: 0000-0003-0027-1145

Affiliations:
  • George Washington University, Department of Electrical and Computer Engineering, Washington, D.C., USA
  • University of California Santa Barbara, Department of Electrical and Computer Engineering, CA, USA


According to our database1, Gina C. Adam authored at least 22 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays.
ACM J. Emerg. Technol. Comput. Syst., April, 2023

Device Modeling Bias in ReRAM-Based Neural Network Simulations.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Real-time Network Intrusion Detection via Decision Transformers.
CoRR, 2023

Neural Network Modeling Bias for Hafnia-based FeFETs.
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, 2023

RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

2022
Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants.
Adv. Intell. Syst., 2022

Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training.
Proceedings of the IEEE International Reliability Physics Symposium, 2022

2021
Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey.
Proc. IEEE, 2021

A System for Validating Resistive Neural Network Prototypes.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020
Memory-efficient training with streaming dimensionality reduction.
CoRR, 2020

Batch Training for Neuromorphic Systems with Device Non-idealities.
Proceedings of the International Conference on Neuromorphic Systems, 2020

Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks.
CoRR, 2019

2017
Micro- and Macroscale Ideas of Current Among Upper-Division Electrical Engineering Students.
IEEE Trans. Educ., 2017

Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives.
Proceedings of the 47th European Solid-State Device Research Conference, 2017

2016
Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays.
CoRR, 2016

Spiking neuromorphic networks with metal-oxide memristors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Highly-uniform multi-layer ReRAM crossbar circuits.
Proceedings of the 46th European Solid-State Device Research Conference, 2016

2015
Three-Dimensional Stateful Material Implication Logic.
CoRR, 2015

2014
Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors.
CoRR, 2014

What motivates STEM teachers to attend professional development? A case study in Chilian high schools.
Proceedings of the IEEE Frontiers in Education Conference, 2014

2011
3D implication logic: Preliminary results.
Proceedings of the 2011 International Conference on Field-Programmable Technology, 2011


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