| An Always-On 3.8 J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS D Bankman, L Yang, B Moons, M Verhelst, B Murmann IEEE Journal of Solid-State Circuits 54 (1), 158-172, 2018 | 347 | 2018 |
| BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS B Moons, D Bankman, L Yang, B Murmann, M Verhelst 2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018 | 129 | 2018 |
| Embedded deep learning B Moons, D Bankman, M Verhelst Embedded Deep Learning, 2019 | 74 | 2019 |
| Mixed-signal circuits for embedded machine-learning applications B Murmann, D Bankman, E Chai, D Miyashita, L Yang 2015 49th Asilomar conference on signals, systems and computers, 1341-1345, 2015 | 67 | 2015 |
| An 8-bit, 16 input, 3.2 pJ/op switched-capacitor dot product circuit in 28-nm FDSOI CMOS D Bankman, B Murmann 2016 ieee asian solid-state circuits conference (a-sscc), 21-24, 2016 | 60 | 2016 |
| Bit error tolerance of a CIFAR-10 binarized convolutional neural network processor L Yang, D Bankman, B Moons, M Verhelst, B Murmann 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 56 | 2018 |
| Understanding metastability in SAR ADCs: part II: asynchronous A Yu, D Bankman, K Zheng, B Murmann IEEE Solid-State Circuits Magazine 11 (3), 16-32, 2019 | 38 | 2019 |
| Passive charge redistribution digital‐to‐analogue multiplier D Bankman, B Murmann Electronics Letters 51 (5), 386-388, 2015 | 25 | 2015 |
| Understanding metastability in SAR ADCs: part I: synchronous D Bankman, A Yu, K Zheng, B Murmann IEEE Solid-State Circuits Magazine 11 (2), 86-97, 2019 | 17 | 2019 |
| RRAM-based in-memory computing for embedded deep neural networks D Bankman, J Messner, A Gural, B Murmann 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1511-1515, 2019 | 15 | 2019 |
| TRIG: Hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs G Hills, D Bankman, B Moons, L Yang, J Hillard, A Kahng, R Park, ... Proceedings of the 55th Annual Design Automation Conference, 1-10, 2018 | 15 | 2018 |
| Pattern recognition for detection of human heads in infrared images DJ Bankman, TM Neighoff Optical Engineering 47 (4), 046404-046404-7, 2008 | 6 | 2008 |
| Study of compact stereoscopic system for target distance estimation DJ Bankman Acquisition, Tracking, and Pointing XX 6238, 71-77, 2006 | 3 | 2006 |
| Mixed-signal processing for machine learning D Bankman Stanford University, 2019 | 2 | 2019 |
| Automated target recognition of humans in infrared images D Bankman, T Neighoff Unattended Ground, Sea, and Air Sensor Technologies and Applications IX 6562 …, 2007 | 2 | 2007 |
| The ActiveMetadata Framework E Mangina, J Carbo, JM Molina, C McCubbin, RS Cost, J Cole, ... Agent-Based Ubiquitous Computing, 85-102, 2010 | | 2010 |
| 13TH ICCRTS: C2 for Complex Endeavors “Extending Service Oriented Architectures to Edge Networks with Active Metadata and Swarming” Topics: Collaborative Technologies for … C McCubbin, RS Cost, M Dale, P Worley, D Bankman | | 2008 |
