E-LIB Suche - Ergebnisse für: Wierzynski, Casimir - Sprache EN

Search for persons X

Sorted by: Relevance

Sorted by: Year

1

Optimizing User Interface Layouts via Gradient Descent:

, In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems,

Duan, Peitong ; Wierzynski, Casimir ; Nachman, Lama - p. 1-12 , 2020

Link: https://dl.acm.org/doi/1..

2

Towards Optical Neural Networks with Fabrication Noise Immu..:

, In: 2019 Conference on Lasers and Electro-Optics (CLEO),

Fang, Michael Y-S. ; Manipatruni, Sasikanth ; Wierzynski, Casimir.. - p. 1-2 , 2019

Link: https://doi.org/10.1364/..

3

nGraph-HE2 : A High-Throughput Framework for Neural Netw..:

, In: Proceedings of the 7th ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography,

Boemer, Fabian ; Costache, Anamaria ; Cammarota, Rosario. - p. 45-56 , 2019

Link: https://dl.acm.org/doi/1..

4

nGraph-HE : a graph compiler for deep learning on homomo..:

, In: Proceedings of the 16th ACM International Conference on Computing Frontiers,

Boemer, Fabian ; Lao, Yixing ; Cammarota, Rosario. - p. 3-13 , 2019

Link: https://dl.acm.org/doi/1..

5

Design of optical neural networks with component imprecisio..:

Fang, Michael Y.-S. ; Manipatruni, Sasikanth ; Wierzynski, Casimir..
Optics Express. 27 (2019) 10 - p. 14009 , 2019

Link: https://doi.org/10.1364/..

6

State-Dependent Spike-Timing Relationships between Hippocam..:

Wierzynski, Casimir M. ; Lubenov, Evgueniy V. ; Gu, Ming.
Neuron. 61 (2009) 4 - p. 587-596 , 2009

Link: https://doi.org/10.1016/..

7

Computing Representations for Lie Algebraic Networks:

Shutty, Noah ; Wierzynski, Casimir
http://arxiv.org/abs/2006.00724. , 2020

Link: http://arxiv.org/abs/200..

8

Optimizing User Interface Layouts via Gradient Descent:

Duan, Peitong ; Wierzynski, Casimir ; Nachman, Lama
http://arxiv.org/abs/2002.10702. , 2020

Link: http://arxiv.org/abs/200..

9

nGraph-HE2: A High-Throughput Framework for Neural Network ..:

Boemer, Fabian ; Costache, Anamaria ; Cammarota, Rosario.
http://arxiv.org/abs/1908.04172. , 2019

Link: http://arxiv.org/abs/190..

10

Design of optical neural networks with component imprecisio..:

Fang, Michael Y. -S ; Manipatruni, Sasikanth ; Wierzynski, Casimir..
http://arxiv.org/abs/2001.01681. , 2019

Link: http://arxiv.org/abs/200..

11

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphi..:

Boemer, Fabian ; Lao, Yixing ; Cammarota, Rosario.
doi:10.5281/zenodo.2600062. , 2019

Link: https://zenodo.org/recor..

12

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphi..:

Boemer, Fabian ; Lao, Yixing ; Cammarota, Rosario.
http://arxiv.org/abs/1810.10121. , 2018

Link: http://arxiv.org/abs/181..

13

State-dependent spike timing relationships between hippocam..:

Wierzynski, Casimir M ; Lubenov, Evgueniy V ; Gu, Ming.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2701743. , 2009

Link: http://www.ncbi.nlm.nih...

14

State-dependent spike-timing relationships between hippocam..:

Wierzynski, Casimir M ; Lubenov, Evgueniy V ; Gu, Ming.
https://doi.org/10.1016/j.neuron.2009.01.011. , 2009

Link: https://doi.org/10.1016/..

1-14