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Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference.

J. McKinstry, S. Esser, R. Appuswamy, D. Bablani, J. Arthur, I. Yildiz, und D. Modha. CoRR, (2018)

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L. Ahlgrimm

Jeffrey Hanna University of Stuttgart

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Weitere Publikationen von Autoren mit dem selben Namen

Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device.J. McKinstry, und G. Edelman. Front. Neurorobot., (2013)Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing.S. Esser, P. Merolla, J. Arthur, A. Cassidy, R. Appuswamy, A. Andreopoulos, D. Berg, J. McKinstry, T. Melano, D. Barch und 6 andere Autor(en). CoRR, (2016)Versatile networks of simulated spiking neurons displaying winner-take-all behavior.Y. Chen, J. McKinstry, und G. Edelman. Front. Comput. Neurosci., (2013)TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years.M. DeBole, B. Taba, A. Amir, F. Akopyan, A. Andreopoulos, W. Risk, J. Kusnitz, C. Otero, T. Nayak, R. Appuswamy und 18 andere Autor(en). IEEE Computer, 52 (5): 20-29 (2019)Structured Convolution Matrices for Energy-efficient Deep learning.R. Appuswamy, T. Nayak, J. Arthur, S. Esser, P. Merolla, J. McKinstry, T. Melano, M. Flickner, und D. Modha. CoRR, (2016)Active Sensing of Visual and Tactile Stimuli by Brain-based Devices.A. Seth, J. McKinstry, G. Edelman, und J. Krichmar. I. J. Robotics and Automation, (2004)Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing.J. McKinstry, D. Barch, D. Bablani, M. DeBole, S. Esser, J. Kusnitz, J. Arthur, und D. Modha. CoRR, (2018)Searching for an IT model with columnar organization.J. McKinstry. Neurocomputing, (2003)Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices.J. McKinstry, A. Seth, G. Edelman, und J. Krichmar. Neural Networks, 21 (4): 553-561 (2008)Texture Discrimination by an Autonomous Mobile Brain-based Device with Whiskers.A. Seth, J. McKinstry, G. Edelman, und J. Krichmar. ICRA, Seite 4925-4930. IEEE, (2004)