Christopher H. Bennett

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Venues

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Sangheon Oh, T. Patrick Xiao, Christopher H. Bennett, Patrick S. Finnegan, Sean R. Bishop, Adam S. Christensen, Adam L. Gross, Sangyong Lee, Andrew Jalbert, Leah Simakas, Joshua D. Sugar, Yiyang Li, Elliot J. Fuller, Sapan Agarwal, A. Alec Talin
Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. DRC (2024)
D. Wilson, Nad E. Gilbert, Matt Spear, J. Short, Christopher H. Bennett, William Wahby, J. Kim, Robin Jacobs-Gedrim, Tianyao Patrick Xiao, S. Agarwal, Matthew J. Marinella
A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing. VTS (2024)
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
Magnetic skyrmions and domain walls for logical and neuromorphic computing. Neuromorph. Comput. Eng. 3 (2) (2023)
B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, J. Short, J. Kim, David R. Hughart, N. Gilbert, Sapan Agarwal, Hugh J. Barnaby, Matthew J. Marinella
TID Response of an Analog In-Memory Neural Network Accelerator. IRPS (2023)
Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella
Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing. ICRC (2023)
T. Patrick Xiao, W. S. Wahby, Christopher H. Bennett, Park Hays, V. Agrawal, Matthew J. Marinella, Sapan Agarwal
Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing. VLSI Technology and Circuits (2023)
Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella
Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays. ICRC (2022)
Ethan Ancell, Christopher H. Bennett, Bert J. Debusschere, Sapan Agarwal, Park Hays, T. Patrick Xiao
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty. CoRR (2022)
Can Cui, Otitoaleke G. Akinola, Naimul Hassan, Christopher H. Bennett, Matthew J. Marinella, Joseph S. Friedman, Jean Anne C. Incorvia
Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing. ISCAS (2022)
T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Vineet Agrawal, Prashant Saxena, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Harsha Medu, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella
An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (4) (2022)
Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
Purely Spintronic Leaky Integrate-and-Fire Neurons. ISCAS (2022)
Pranav O. Mathews, Christian B. Duffee, Abel Thayil, Ty E. Stovall, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Naimul Hassan, Xuan Hu, Joseph S. Friedman
High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network. CoRR (2021)
Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia
Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation. CoRR (2021)
T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella
On the Accuracy of Analog Neural Network Inference Accelerators. CoRR (2021)
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
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing. CoRR (2021)
Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek
An Analog Preconditioner for Solving Linear Systems. HPCA (2021)
Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. ISCAS (2020)
Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
Evaluating complexity and resilience trade-offs in emerging memory inference machines. NICE (2020)
Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
Evaluating complexity and resilience trade-offs in emerging memory inference machines. CoRR (2020)
Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device. CoRR (2020)
Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella, Vineet Agrawal, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty
Device-aware inference operations in SONOS nonvolatile memory arrays. IRPS (2020)
Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions. CoRR (2020)
Xuan Hu, Alexander J. Edwards, T. Patrick Xiao, Christopher H. Bennett, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman
Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic. ISCAS (2020)
Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. CoRR (2020)
Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan, Wesley H. Brigner, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture. CoRR (2020)
Naimul Hassan, Wesley H. Brigner, Xuan Hu, Otitoaleke G. Akinola, Christopher H. Bennett, Matthew J. Marinella, Felipe García-Sánchez, Jean Anne C. Incorvia, Joseph S. Friedman
CMOS-Free Magnetic Domain Wall Leaky Integrate-and-Fire Neurons with Intrinsic Lateral Inhibition. ISCAS (2020)
Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Vineet Agrawal, Ben Feinberg, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella
Device-aware inference operations in SONOS nonvolatile memory arrays. CoRR (2020)
Christopher H. Bennett, Diana Garland, Robin B. Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella
Wafer-Scale TaOx Device Variability and Implications for Neuromorphic Computing Applications. IRPS (2019)
Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access 7 (2019)
Wesley H. Brigner, Naimul Hassan, Lucian Jiang-Wei, Xuan Hu, Diptish Saha, Christopher H. Bennett, Matthew J. Marinella, Jean Anne C. Incorvia, Felipe García-Sánchez, Joseph S. Friedman
Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron. CoRR (2019)
Christopher H. Bennett, Jean-Etienne Lorival, François Marc, Theo Cabaret, Bruno Jousselme, Vincent Derycke, Jacques-Olivier Klein, Cristell Maneux
Multiscaled Simulation Methodology for Neuro-Inspired Circuits Demonstrated with an Organic Memristor. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
Spatio-temporal Learning with Arrays of Analog Nanosynapses. CoRR (2017)
Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
Spatio-temporal learning with arrays of analog nanosynapses. NANOARCH (2017)
Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Jacques-Olivier Klein, Fabien Alibart, Damien Querlioz
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures. IJCNN (2016)
Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
A recurrent crossbar of memristive nanodevices implements online novelty detection. ICRC (2016)
Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Fabien Alibart, Damien Querlioz
Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures. CoRR (2016)
Christopher H. Bennett, Djaafar Chabi, Theo Cabaret, Bruno Jousselme, Vincent Derycke, Damien Querlioz, Jacques-Olivier Klein
Supervised learning with organic memristor devices and prospects for neural crossbar arrays. NANOARCH (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christopher H. Bennett