Samuel Liu

According to our database, Samuel Liu authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

Enabling Intelligent Resuscitation: Non-Invasive Cardiac Output Monitoring via Physiological Sensing and Machine Learning.

Demet Tangolar, Onur Selim Kiliç, Samuel Liu, Cem Okan Yaldiz, Jacob P. Kimball, Omer T. Inan

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

AI-Guided Codesign for Novel Computing Paradigms.

Suma George Cardwell, J. Darby Smith, Karan Patel, Andrew Maicke, Jared Arzate, Samuel Liu, Jaesuk Kwon, Christopher Allemang, Douglas Cale Crowder, Shashank Misra, Frances S. Chance, Catherine D. Schuman, Jean Anne C. Incorvia, James Bradley Aimone

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer.

Giles Winchester, Oliver G. Steele, Samuel Liu, André Maia Chagas, Wajeeha Aziz, Andrew C. Penn

Frontiers Neuroinformatics, 2024

Skin Controlled Electronic and Neuromorphic Tattoos.

Dmitry Kireev, Nandu Koripally, Samuel Liu, Gabriella Coloyan Fleming, Philip Varkey, Joseph Belle, Sivasakthya Mohan, Sang Sub Han, Dong Xu, Yeonwoong Jung, Xiangfeng Duan, Jean Anne C. Incorvia, Deji Akinwande

CoRR, 2024

Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron.

Can Cui, Samuel Liu, Jaesuk Kwon, Jean Anne C. Incorvia

CoRR, 2024

2023

Magnetic skyrmions and domain walls for logical and neuromorphic computing.

Xuan Hu, Can Cui, Samuel Liu, Felipe García-Sánchez, Wesley H. Brigner, Benjamin W. Walker, Alexander J. Edwards, T. Patrick Xiao, Christopher H. Bennett, Naimul Hassan, Michael P. Frank, Jean Anne C. Incorvia, Joseph S. Friedman

Neuromorph. Comput. Eng., June, 2023

Stochastic Domain Wall-Magnetic Tunnel Junction Artificial Neurons for Noise-Resilient Spiking Neural Networks.

Thomas Leonard, Samuel Liu, Harrison Jin, Jean Anne C. Incorvia

CoRR, 2023

2022

Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation.

Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2021

Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing.

Thomas Leonard, Samuel Liu, Mahshid Alamdar, Can Cui, Otitoaleke G. Akinola, Lin Xue, T. Patrick Xiao, Joseph S. Friedman, Matthew J. Marinella, Christopher H. Bennett, Jean Anne C. Incorvia

CoRR, 2021

Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation.

Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia

CoRR, 2021

ONNC Compiler Used in Fault-Mitigating Mechanisms Analysis on NVDLA-Based and ReRAM-Based Edge AI Chip Design.

Samuel Liu, Jen-Ho Kuo, Luba Tang, Ning-Chi Huang, Der-Yu Tsai, M.-H. Yang, Kai-Chiang Wu

Proceedings of the International Symposium on VLSI Design, Automation and Test, 2021

2018

PAC Learning Guarantees Under Covariate Shift.

Artidoro Pagnoni, Stefan Gramatovici, Samuel Liu

CoRR, 2018