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\n  \n inproceedings\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Compact Neural Network Solutions to Laplace's Equation in a Nanofluidic Device.\n \n \n \n \n\n\n \n Magill, M.; Qureshi, F.; and de Haan, H.\n\n\n \n\n\n\n In NuerIPS 18 Workshop on Compact Deep Neural Networks with Industrial Applications, pages 5pp, Montreal, Dec 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Compact paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{18-cdnn-w,\n  author =       {M. Magill  and F.Z. Qureshi and H.W. de Haan},\n  title =        {Compact Neural Network Solutions to Laplace's Equation in a Nanofluidic Device},\n  booktitle = {NuerIPS 18 Workshop on Compact Deep Neural Networks with Industrial Applications},\n  year =      {2018},\n  month =     {Dec},\n  address =   {Montreal},\n  pages = {5pp},\n  url_Paper = {pubs/18-cdnnria-w.pdf},\n  keywords = {dnn}\n}\n\n
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\n \n\n \n \n \n \n \n \n Neural Networks Trained to Solve Differential Equations Learn General Representations.\n \n \n \n \n\n\n \n Magill, M.; Qureshi, F.; and de Haan, H.\n\n\n \n\n\n\n In Proc. The Thirty-second Annual Conference on Neural Information Processing Systems (NuerIPS 18), pages 11pp, Montreal, Dec 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Neural paper\n  \n \n \n \"Neural link\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{18-nips-c,\n  author =       {M. Magill  and F.Z. Qureshi and H.W. de Haan},\n  title =        {Neural Networks Trained to Solve Differential\nEquations Learn General Representations},\n  booktitle = {Proc. The Thirty-second Annual Conference on Neural Information Processing Systems (NuerIPS 18)},\n  year =      {2018},\n  month =     {Dec},\n  address =   {Montreal},\n  pages = {11pp},\n  url_Paper = {pubs/18-nips-c.pdf},\n  url_link = {https://papers.nips.cc/paper/7662-neural-networks-trained-to-solve-differential-equations-learn-general-representations},\n  keywords = {dnn}\n}\n\n
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