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Lav R. Varshney | Joana Maria | Xiou Ge | Richard T. Goodwin | Jeremy R. Gregory | Randolph E. Kirchain | L. Varshney | R. Kirchain | Richard Goodwin | J. Gregory | Xiou Ge | Joana Maria
[1] James Theiler,et al. Adaptive Strategies for Materials Design using Uncertainties , 2016, Scientific Reports.
[2] I-Cheng Yeh,et al. Modeling of strength of high-performance concrete using artificial neural networks , 1998 .
[3] Lav R. Varshney,et al. Dimensions, Bits, and Wows in Accelerating Materials Discovery , 2018 .
[4] Petr Smirnov,et al. Dr.VAE: Drug Response Variational Autoencoder , 2017, 1706.08203.
[5] Carl Doersch,et al. Tutorial on Variational Autoencoders , 2016, ArXiv.
[6] Alán Aspuru-Guzik,et al. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules , 2016, ACS central science.
[7] Alan Smaill,et al. Computational Creativity Research: Towards Creative Machines , 2014, Atlantis Thinking Machines.
[8] Seungjin Choi,et al. Gaussian Copula Variational Autoencoders for Mixed Data , 2016, ArXiv.
[9] Honglak Lee,et al. Learning Structured Output Representation using Deep Conditional Generative Models , 2015, NIPS.
[10] P. K. Mehta. Concrete: Structure, Properties, and Materials , 1992 .
[11] Thomas G. Dietterich,et al. Guiding Scientific Discovery with Explanations Using DEMUD , 2013, AAAI.
[12] Samy Bengio,et al. Generating Sentences from a Continuous Space , 2015, CoNLL.
[13] Jui-Sheng Chou,et al. Machine learning in concrete strength simulations: Multi-nation data analytics , 2014 .
[14] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[15] Kristin A. Persson,et al. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation , 2013 .
[16] Honglak Lee,et al. Attribute2Image: Conditional Image Generation from Visual Attributes , 2015, ECCV.
[17] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.