Deep neural networks and mixed integer linear optimization
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[1] Matteo Fischetti,et al. Proximity search for 0-1 mixed-integer convex programming , 2014, J. Heuristics.
[2] Chih-Hong Cheng,et al. Maximum Resilience of Artificial Neural Networks , 2017, ATVA.
[3] Joan Bruna,et al. Intriguing properties of neural networks , 2013, ICLR.
[4] Matteo Fischetti,et al. On handling indicator constraints in mixed integer programming , 2016, Comput. Optim. Appl..
[5] Edward Rothberg,et al. An Evolutionary Algorithm for Polishing Mixed Integer Programming Solutions , 2007, INFORMS J. Comput..
[6] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[7] Christian Tjandraatmadja,et al. Bounding and Counting Linear Regions of Deep Neural Networks , 2017, ICML.
[8] Matteo Fischetti,et al. Local branching , 2003, Math. Program..
[9] Matteo Fischetti,et al. Fast training of Support Vector Machines with Gaussian kernel , 2016, Discret. Optim..
[10] Pascal Vincent,et al. Visualizing Higher-Layer Features of a Deep Network , 2009 .
[11] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[12] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[13] Russ Tedrake,et al. Verifying Neural Networks with Mixed Integer Programming , 2017, ArXiv.
[14] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.