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Matthew Moskewicz
Matthew Moskewicz
Tesla
Verified email at alumni.princeton.edu
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Cited by
Cited by
Year
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
arXiv preprint arXiv:1602.07360, 2016
97542016
Chaff: Engineering an efficient SAT solver
MW Moskewicz, CF Madigan, Y Zhao, L Zhang, S Malik
Proceedings of the 38th annual Design Automation Conference, 530-535, 2001
50422001
Efficient conflict driven learning in a boolean satisfiability solver
L Zhang, CF Madigan, MH Moskewicz, S Malik
IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE …, 2001
12212001
Densenet: Implementing efficient convnet descriptor pyramids
F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer
arXiv preprint arXiv:1404.1869, 2014
10592014
Firecaffe: near-linear acceleration of deep neural network training on compute clusters
FN Iandola, MW Moskewicz, K Ashraf, K Keutzer
Proceedings of the IEEE conference on computer vision and pattern …, 2016
3842016
Densenet: Implementing efficient convnet descriptor pyramids. arXiv 2014
F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer
arXiv preprint arXiv:1404.1869, 0
109
A polysilicon active matrix organic light emitting diode display with integrated drivers
RMA Dawson, Z Shen, DA Furst, S Connor, J Hsu, MG Kane, RG Stewart, ...
SID Symposium Digest of Technical Papers 30 (1), 438-441, 1999
961999
SqueezeNet: AlexNet-level accuracy with 50× fewer parameters and
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
5MB model size [J], 2016
752016
Shallow networks for high-accuracy road object-detection
K Ashraf, B Wu, FN Iandola, MW Moskewicz, K Keutzer
arXiv preprint arXiv:1606.01561, 2016
662016
Developing architectural platforms: A disciplined approach
A Mihal, C Kulkarni, M Moskewicz, M Tsai, N Shah, S Weber, Y Jin, ...
IEEE Design & Test of Computers 19 (6), 6-16, 2002
612002
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size
S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
ArXiv Preprint ArXiv: 1602.07360, 2016
54*2016
SqueezeNet: AlexNet-level accuracy with 50× fewer parameters and< 0.5 MB model size. 2016
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
arXiv preprint arXiv:1602.07360, 0
51
Cama: A multi-valued satisfiability solver
C Liu, A Kuehlmann, MW Moskewicz
ICCAD-2003. International Conference on Computer Aided Design (IEEE Cat. No …, 2003
462003
System and method for analysis and transformation of layouts using situations
FE Gennari, YC Lai, MW Moskewicz, MC Lam, GR McIntyre
US Patent 7,418,693, 2008
442008
Accelerating boolean satisfiability through application specific processing
Y Zhao, S Malik, M Moskewicz, C Madigan
Proceedings of the 14th international symposium on Systems synthesis, 244-249, 2001
422001
System and method for implementing image-based design rules
FE Gennari, YC Lai, MW Moskewicz, MC Lam, GR McIntyre
US Patent 7,653,892, 2010
342010
Method and system for performing pattern classification of patterns in integrated circuit designs
YC Lai, FE Gennari, MW Moskewicz, J Lei, W Lai
US Patent 8,079,005, 2011
322011
Fast pattern matching
FE Gennari, YC Lai, MW Moskewicz, MC Lam, GR McIntyre
US Patent 7,818,707, 2010
302010
Audio-based multimedia event detection with DNNs and sparse sampling
K Ashraf, B Elizalde, F Iandola, M Moskewicz, J Bernd, G Friedland, ...
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
262015
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size. arXiv preprint 2016
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
arXiv preprint arXiv:1602.07360 66, 0
26
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