T. Patrick Xiao

Orcid: 0000-0001-9066-2961

According to our database1, T. Patrick Xiao authored at least 23 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Analog fast Fourier transforms for scalable and efficient signal processing.
CoRR, 2024

A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing.
Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

Biological Dynamics Enabling Training of Binary Recurrent Networks.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing.
Proceedings of the Device Research Conference, 2024

2023
Magnetic skyrmions and domain walls for logical and neuromorphic computing.
Neuromorph. Comput. Eng., June, 2023

Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

TID Response of an Analog In-Memory Neural Network Accelerator.
Proceedings of the IEEE International Reliability Physics Symposium, 2023

Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2023

2022
An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty.
CoRR, 2022

Equivalence of coupled parametric oscillator dynamics to Lagrange multiplier primal-dual optimization.
CoRR, 2022

Equivalence of Coupled Parametric Oscillator Dynamics to Lagrange Multiplier Optimization.
Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays.
Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2021
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing.
CoRR, 2021

On the Accuracy of Analog Neural Network Inference Accelerators.
CoRR, 2021

An Analog Preconditioner for Solving Linear Systems.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020
Physics successfully implements Lagrange multiplier optimization.
Proc. Natl. Acad. Sci. USA, 2020

Evaluating complexity and resilience trade-offs in emerging memory inference machines.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Device-aware inference operations in SONOS nonvolatile memory arrays.
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

2019
Optoelectronics for refrigeration and analog circuits for combinatorial optimization
PhD thesis, 2019


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