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ORCIDGina C. Adam
Person information
- affiliation: George Washington University, Department of Electrical and Computer Engineering, Washington, D.C., USA
- affiliation: University of California Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
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2020 – today
- 2023
[j6]Osama Yousuf
, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam:
Device Modeling Bias in ReRAM-Based Neural Network Simulations. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 382-394 (2023)- [j5]Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. ACM J. Emerg. Technol. Comput. Syst. 19(2): 16:1-16:24 (2023) - [c11]Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. DSC 2023: 1-8 - [c10]Osama Yousuf, Imtiaz Hossen, Andreu Glasmann, Sina Najmaei, Gina C. Adam:
Neural Network Modeling Bias for Hafnia-based FeFETs. NANOARCH 2023: 16:1-16:5 - [i8]Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. CoRR abs/2311.16018 (2023) - [i7]Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
Real-time Network Intrusion Detection via Decision Transformers. CoRR abs/2312.07696 (2023) - 2022
- [j4]Zhuolin Yang, Lei Zhang, Kedar Aras, Igor R. Efimov, Gina C. Adam:
Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants. Adv. Intell. Syst. 4(8) (2022) - [j3]Zhuolin Yang, Lei Zhang, Kedar Aras, Igor R. Efimov, Gina C. Adam:
Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants. Adv. Intell. Syst. 4(8) (2022) - [c9]Wen Ma, Tung Thanh Hoang, Brian Hoskins, Matthew W. Daniels, Jabez J. McClelland, Yutong Gao, Gina C. Adam, Martin Lueker-Boden:
Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training. IRPS 2022: 35-1 - [i6]Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam:
Device Modeling Bias in ReRAM-based Neural Network Simulations. CoRR abs/2211.15925 (2022) - 2021
- [j2]Nicolás Wainstein, Gina C. Adam, Eilam Yalon, Shahar Kvatinsky:
Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey. Proc. IEEE 109(1): 77-95 (2021) - [c8]Brian Hoskins, Wen Ma, Mitchell Fream, Osama Yousuf, Matthew W. Daniels, Jonathan Goodwill, Advait Madhavan, Hoang Tung, Mark Branstad, Muqing Liu, Rasmus Madsen, Jabez Mclelland, Gina C. Adam, Martin Lueker-Boden:
A System for Validating Resistive Neural Network Prototypes. ICONS 2021: 26:1-26:5 - 2020
- [c7]Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). AAAI 2020: 13813-13814 - [c6]Yutong Gao, Shang Wu, Gina C. Adam:
Batch Training for Neuromorphic Systems with Device Non-idealities. ICONS 2020: 9:1-9:4 - [i5]Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Memory-efficient training with streaming dimensionality reduction. CoRR abs/2004.12041 (2020)
2010 – 2019
- 2019
- [i4]Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles:
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. CoRR abs/1903.01635 (2019) - 2017
- [j1]Gina C. Adam, Danielle Boyd Harlow, Susan M. Lord, Christian H. Kautz:
Micro- and Macroscale Ideas of Current Among Upper-Division Electrical Engineering Students. IEEE Trans. Educ. 60(3): 183-190 (2017) - [c5]Gina C. Adam, Hussein Nili, Jeeson Kim, Brian D. Hoskins, Omid Kavehei, Dmitri B. Strukov:
Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives. ESSDERC 2017: 74-77 - 2016
- [c4]Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Farnood Merrikh-Bayat, Bhaswar Chakrabarti, Dmitri B. Strukov:
Highly-uniform multi-layer ReRAM crossbar circuits. ESSDERC 2016: 436-439 - [c3]Mirko Prezioso, Y. Zhong, D. Gavrilov, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov:
Spiking neuromorphic networks with metal-oxide memristors. ISCAS 2016: 177-180 - [i3]Hussein Nili, Gina C. Adam, Mirko Prezioso, Jeeson Kim, Farnood Merrikh-Bayat, Omid Kavehei, Dmitri B. Strukov:
Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays. CoRR abs/1611.07946 (2016) - 2015
- [i2]Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Dmitri B. Strukov:
Three-Dimensional Stateful Material Implication Logic. CoRR abs/1509.02986 (2015) - 2014
- [c2]Gina C. Adam, Danielle Boyd Harlow, Vanessa N. Dominguez:
What motivates STEM teachers to attend professional development? A case study in Chilian high schools. FIE 2014: 1-8 - [i1]Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov:
Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors. CoRR abs/1412.0611 (2014) - 2011
- [c1]Gina C. Adam:
3D implication logic: Preliminary results. FPT 2011: 1-3
Coauthor Index
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