Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks. - Wen Ma; Minghai Qin; Won Ho Choi; Pi-Feng Chiu; Martin Lueker-Boden (ICMLA, 2018)

Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks. - Wen Ma; Pi-Feng Chiu; Won Ho Choi; Minghai Qin; Daniel Bedau; Martin Lueker-Boden (ICRC, 2019)

A Binarized Neural Network Accelerator with Differential Crosspoint Memristor Array for Energy-Efficient MAC Operations. - Pi-Feng Chiu; Won Ho Choi; Wen Ma; Minghai Qin; Martin Lueker-Boden (ISCAS, 2019)

An In-Flash Binary Neural Network Accelerator with SLC NAND Flash Array. - Won Ho Choi; Pi-Feng Chiu; Wen Ma; Gertjan Hemink; Tung Thanh Hoang; Martin Lueker-Boden; Zvonimir Bandic (ISCAS, 2020)

A Mott Insulator-Based Oscillator Circuit for Reservoir Computing. - Wen Ma; Tyler Hennen; Martin Lueker-Boden; Rick Galbraith; Jonas Goode; Won Ho Choi; Pi-Feng Chiu; Jonathan A. J. Rupp; Dirk J. Wouters; Rainer Waser; Daniel Bedau (ISCAS, 2020)

A System for Validating Resistive Neural Network Prototypes. - Brian Hoskins; Wen Ma; Mitchell Fream; Osama Yousuf; Matthew W. Daniels; Jonathan Goodwill; Advait Madhavan; Hoang Tung; Mark Branstad; Muqing Liu; Rasmus Madsen; Jabez J. McClelland; et al. (ICONS, 2021)

Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training. - Wen Ma; Tung Thanh Hoang; Brian Hoskins; Matthew W. Daniels; Jabez J. McClelland; Yutong Gao 003; Gina C. Adam; Martin Lueker-Boden (IRPS, 2022)

Experimental demonstration of a robust training method for strongly defective neuromorphic hardware. - William A. Borders; Advait Madhavan; Matthew W. Daniels; Vasileia Georgiou; Martin Lueker-Boden; Tiffany S. Santos; Patrick M. Braganca; Mark D. Stiles; Jabez J. McClelland; Brian D. Hoskins (CoRR, 2023)

Device Modeling Bias in ReRAM-Based Neural Network Simulations. - Osama Yousuf; Imtiaz Hossen; Matthew W. Daniels; Martin Lueker-Boden; Andrew M. Dienstfrey; Gina C. Adam (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. - Osama Yousuf; Brian Hoskins; Karthick Ramu; Mitchell Fream; William A. Borders; Advait Madhavan; Matthew W. Daniels; Andrew M. Dienstfrey; Jabez J. McClelland; Martin Lueker-Boden; Gina C. Adam (CoRR, 2024)