T. Xiao

发表

Bayesian neural networks using magnetic tunnel junction-based probabilistic in-memory computing

Christopher H. Bennett, S. Agarwal, B. Debusschere, 2022, Frontiers in Nanotechnology.

An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty

S. Agarwal, B. Debusschere, T. Xiao, 2022, 2210.10780.

Analog architectures for neural network acceleration based on non-volatile memory

Matthew J. Marinella, Sapan Agarwal, Christopher H. Bennett, 2020 .

Energy and Performance Benchmarking of a Domain Wall-Magnetic Tunnel Junction Multibit Adder

Joseph S. Friedman, Matthew J. Marinella, Xuan Hu, 2019, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.

Evaluating complexity and resilience trade-offs in emerging memory inference machines

Matthew J. Marinella, William M. Severa, William Severa, 2020, NICE.

A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks

Matthew J. Marinella, Christopher H. Bennett, Samuel Liu, 2021 .

Irradiation Effects on Perpendicular Anisotropy Spin–Orbit Torque Magnetic Tunnel Junctions

M. Marinella, P. Kotula, G. Vizkelethy, 2021, IEEE Transactions on Nuclear Science.

Heavy-Ion-Induced Displacement Damage Effects in Magnetic Tunnel Junctions With Perpendicular Anisotropy

M. Marinella, G. Vizkelethy, F. Mancoff, 2020, IEEE Transactions on Nuclear Science.

Magnetic skyrmions and domain walls for logical and neuromorphic computing

Wesley H. Brigner, Alexander J. Edwards, Benjamin W. Walker, 2023, Neuromorphic Computing and Engineering.

Shape‐Dependent Multi‐Weight Magnetic Artificial Synapses for Neuromorphic Computing

Otitoaleke G. Akinola, M. Marinella, J. Friedman, 2022 .

Parallel Matrix Multiplication Using Voltage-Controlled Magnetic Anisotropy Domain Wall Logic

M. Marinella, S. Agarwal, J. Incorvia, 2023, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.

Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic

Joseph S. Friedman, Matthew J. Marinella, Xuan Hu, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

Investigating Heavy-Ion Effects on 14-nm Process FinFETs: Displacement Damage Versus Total Ionizing Dose

H. Barnaby, M. Marinella, G. Vizkelethy, 2021, IEEE Transactions on Nuclear Science.

An Analog Preconditioner for Solving Linear Systems

Engin Ipek, Erik G. Boman, Sapan Agarwal, 2021, 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory

M. Marinella, A. Salleo, A. Talin, 2021, Frontiers in Neuroscience.

An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory

M. Marinella, S. Agarwal, V. Prabhakar, 2022, IEEE Transactions on Circuits and Systems I: Regular Papers.

On the Accuracy of Analog Neural Network Inference Accelerators [Feature]

M. Marinella, S. Agarwal, V. Prabhakar, 2021, IEEE Circuits and Systems Magazine.

Achieving Accurate In-Memory Neural Network Inference with Highly Overlapping Nonvolatile Memory State Distributions

M. Marinella, H. Puchner, S. Agarwal, 2022, IEEE Electron Devices Technology and Manufacturing Conference.

Single-Event Effects Induced by Heavy Ions in SONOS Charge Trapping Memory Arrays

H. Barnaby, M. Marinella, H. Puchner, 2021, IEEE Transactions on Nuclear Science.

Ionizing Radiation Effects in SONOS-Based Neuromorphic Inference Accelerators

H. Barnaby, M. Marinella, H. Puchner, 2021, IEEE Transactions on Nuclear Science.

Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays

M. Marinella, S. Agarwal, T. Xiao, 2022, International Conference on Rebooting Computing.

Mosaic The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator.

James B. Aimone, Christopher H. Bennett, Ryan Dellana, 2020 .

Analysis and mitigation of parasitic resistance effects for analog in-memory neural network acceleration

Jacob N. Rohan, M. Marinella, S. Agarwal, 2021, Semiconductor Science and Technology.

An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty

S. Agarwal, B. Debusschere, T. Xiao, 2022, ArXiv.

Shape‐Dependent Multi‐Weight Magnetic Artificial Synapses for Neuromorphic Computing (Adv. Electron. Mater. 12/2022)

Otitoaleke G. Akinola, M. Marinella, J. Friedman, 2021, Advanced Electronic Materials.