Christopher H. Bennett

46 papers A* 1A 1B 1C 5Misc 1Journal 23Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incorruptible Neural Networks: Training Models that can Generalize to Large Internal Perturbations. CoRR Philip Jacobson, Ben Feinberg, Suhas Kumar, Sapan Agarwal, T. Patrick Xiao, Christopher H. Bennett
2026	—	`conf`	Noise-Agnostic One-Shot Training and Retraining for Robust DNN Inferencing on Analog Compute-in-Memory Systems. ASP-DAC Ashish Reddy Bommana, Ben Feinberg, Tianyao Patrick Xiao, Christopher H. Bennett, Matthew J. Marinella, Krishnendu Chakrabarty
2025	J	`jnl`	Analog Bayesian neural networks are insensitive to the shape of the weight distribution. CoRR Ravi G. Patel, T. Patrick Xiao, Sapan Agarwal, Christopher H. Bennett
2025	A	`conf`	Fault Tolerance in RRAM-based AI Accelerator with Guided Randomized Activation. ITC Soyed Tuhin Ahmed, Eduardo Ortega, Ryan Depsey, T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Matthew J. Marinella, Krishnendu Chakrabarty
2025	J	`jnl`	Self-heating electrochemical memory for high-precision analog computing. CoRR Adam L. Gross, Sangheon Oh, François Léonard, Wyatt Hodges, T. Patrick Xiao, Joshua D. Sugar, Jacklyn Zhu, Sritharini Radhakrishnan, Sangyong Lee, Jolie Wang, Adam S. Christensen, Sam Lilak, Patrick S. Finnegan, Patrick Crandall, Christopher H. Bennett, William Wahby, Robin Jacobs-Gedrim, Matthew J. Marinella, Suhas Kumar, Sapan Agarwal, Yiyang Li, A. Alec Talin, Elliot J. Fuller
2024	Misc	`conf`	A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing. VTS D. Wilson, Nad E. Gilbert, Matt Spear, J. Short, Christopher H. Bennett, William Wahby, Joshua E. Kim, Robin Jacobs-Gedrim, Tianyao Patrick Xiao, S. Agarwal, Matthew J. Marinella
2024	J	`jnl`	Analog fast Fourier transforms for scalable and efficient signal processing. CoRR T. Patrick Xiao, Ben Feinberg, David K. Richardson, Matthew Cannon, Harsha Medu, Vineet Agrawal, Matthew J. Marinella, Sapan Agarwal, Christopher H. Bennett
2024	—	`conf`	SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator. ISVLSI Pragnya Sudershan Nalla, Zhenyu Wang, Sapan Agarwal, T. Patrick Xiao, Christopher H. Bennett, Matthew J. Marinella, Jae-sun Seo, Yu Cao
2024	—	`conf`	Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. DRC 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
2023	—	`conf`	Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing. VLSI Technology and Circuits T. Patrick Xiao, W. S. Wahby, Christopher H. Bennett, Park Hays, V. Agrawal, Matthew J. Marinella, Sapan Agarwal
2023	J	`jnl`	Magnetic skyrmions and domain walls for logical and neuromorphic computing. Neuromorph. Comput. Eng. 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
2023	—	`conf`	Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing. ICRC Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella
2023	—	`conf`	TID Response of an Analog In-Memory Neural Network Accelerator. IRPS B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, Jesse Short, Joshua E. Kim, David R. Hughart, Nad Gilbert, Sapan Agarwal, Hugh J. Barnaby, Matthew J. Marinella
2022	J	`jnl`	An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 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
2022	J	`jnl`	An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty. CoRR Ethan Ancell, Christopher H. Bennett, Bert J. Debusschere, Sapan Agarwal, Park Hays, T. Patrick Xiao
2022	—	`conf`	Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays. ICRC Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella
2022	C	`conf`	Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing. ISCAS Can Cui, Otitoaleke G. Akinola, Naimul Hassan, Christopher H. Bennett, Matthew J. Marinella, Joseph S. Friedman, Jean Anne C. Incorvia
2022	C	`conf`	Purely Spintronic Leaky Integrate-and-Fire Neurons. ISCAS Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
2021	A*	`conf`	An Analog Preconditioner for Solving Linear Systems. HPCA Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek
2021	J	`jnl`	Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation. CoRR Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia
2021	J	`jnl`	High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network. CoRR 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
2021	J	`jnl`	On the Accuracy of Analog Neural Network Inference Accelerators. CoRR T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella
2021	J	`jnl`	Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing. CoRR 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
2020	C	`conf`	CMOS-Free Magnetic Domain Wall Leaky Integrate-and-Fire Neurons with Intrinsic Lateral Inhibition. ISCAS 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
2020	J	`jnl`	CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device. CoRR Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
2020	—	`conf`	Device-aware inference operations in SONOS nonvolatile memory arrays. IRPS 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
2020	J	`jnl`	Device-aware inference operations in SONOS nonvolatile memory arrays. CoRR 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
2020	J	`jnl`	Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions. CoRR 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
2020	—	`conf`	Evaluating complexity and resilience trade-offs in emerging memory inference machines. NICE Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
2020	J	`jnl`	Evaluating complexity and resilience trade-offs in emerging memory inference machines. CoRR Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
2020	C	`conf`	Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. ISCAS 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
2020	J	`jnl`	Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. CoRR 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
2020	C	`conf`	Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic. ISCAS Xuan Hu, Alexander J. Edwards, T. Patrick Xiao, Christopher H. Bennett, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman
2020	J	`jnl`	Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture. CoRR Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan, Wesley H. Brigner, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman
2019	J	`jnl`	Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz
2019	J	`jnl`	Redox transistors for neuromorphic computing. IBM J. Res. Dev. Elliot J. Fuller, Yiyang Li, Christopher H. Bennett, Scott T. Keene, Armantas Melianas, Sapan Agarwal, Matthew J. Marinella, Alberto Salleo, A. Alec Talin
2019	J	`jnl`	Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron. CoRR 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
2019	—	`conf`	Wafer-Scale TaOx Device Variability and Implications for Neuromorphic Computing Applications. IRPS Christopher H. Bennett, Diana Garland, Robin B. Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella
2018	—	`—`	Local learning with highly analog memory devices. (Apprentissage local avec des dispositifs de mémoire hautement analogiques). Christopher H. Bennett
2018	J	`jnl`	Multiscaled Simulation Methodology for Neuro-Inspired Circuits Demonstrated with an Organic Memristor. IEEE Trans. Multi Scale Comput. Syst. Christopher H. Bennett, Jean-Etienne Lorival, François Marc, Theo Cabaret, Bruno Jousselme, Vincent Derycke, Jacques-Olivier Klein, Cristell Maneux
2017	J	`jnl`	Spatio-temporal Learning with Arrays of Analog Nanosynapses. CoRR Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
2017	—	`conf`	Spatio-temporal learning with arrays of analog nanosynapses. NANOARCH Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
2016	—	`conf`	A recurrent crossbar of memristive nanodevices implements online novelty detection. ICRC Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
2016	J	`jnl`	Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures. CoRR Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Fabien Alibart, Damien Querlioz
2016	B	`conf`	Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures. IJCNN Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Jacques-Olivier Klein, Fabien Alibart, Damien Querlioz
2015	—	`conf`	Supervised learning with organic memristor devices and prospects for neural crossbar arrays. NANOARCH Christopher H. Bennett, Djaafar Chabi, Theo Cabaret, Bruno Jousselme, Vincent Derycke, Damien Querlioz, Jacques-Olivier Klein