Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	White, T (2016) Sampling generative networks , arXiv preprint, arXiv:1609.04468

	A. Brock, T. Lim, J. M. Ritchie, and N. Weston (2016) Generative and Discriminative Voxel Modeling with Convolutional Neural Networks , ArXiv Preprint

	Andrew Brock, Theodore Lim, J. M. Ritchie, and Nick Weston (2016) Generative and Discriminative Voxel Modeling with Convolutional Neural Networks , ArXiv:1608.04236 [Cs, Stat], August. http://arxiv.org/abs/1608.04236

	Brock, A, Lim, T and Ritchie, JM (2016) Generative and discriminative voxel modeling with convolutional neural networks , arXiv preprint arXiv:1608.04236

	Goodfellow, I. (2017) NIPS 2016 Tutorial: Generative Adversarial Networks , arXiv:1701.00160 [cs] [Preprint]. Available at: http://arxiv.org/abs/1701.00160 (Accessed: 1 April 2022)

	Goodfellow, Ian (2017) NIPS 2016 Tutorial: Generative Adversarial Networks , ArXiv:1701.00160 [Cs], April. http://arxiv.org/abs/1701.00160

	I. Durugkar, I. Gemp, and S. Mahadevan (2016) Generative Multi-Adversarial Networks , ArXiv Preprint

	Pfau, D and Vinyals, O (2016) Connecting Generative Adversarial Networks and Actor-Critic Methods , arXiv:1610.01945 [cs, stat]

	Radford A, Metz L and Chintala S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks, 2016 , ArXiv:1511.06434 [Cs] http://arxiv.org/abs/1511.06434

	Radford, A, Metz, L and Chintala, S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks , arXiv preprint, arXiv:1511.06434

	Radford, A, Metz, L and Chintala, S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks. , Conference on Learning Representations (ICLR)

	Radford, A., Metz, L. and Chintala, S. (2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ICLR

	Radford, A., Metz, L., & Chintala, S. (2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ArXiv.org. https://arxiv.org/abs/1511.06434v2

	(2016) Ubiquitous Simultaneity: A Design Workflow for an Information Rich Environment , CROSS-AMERICAS: Probing Disglobal Networks—The 2016 International Conference of the Association of Collegiate Schools of Architecture. Santiago, Chile: ACSA

	A. Lamb, V. Dumoulin, and A. Courville (2016) Discriminative Regularization for Generative Models , ArXiv

	AbdulRaheem, O. B., & Abdulwahab Rayis, O. (2016) Design of Generative Model for the Language of Traditional Suakin Using Parametric Shape Grammar , International Journal of Computer-Aided Technologies, 3(2/3), 01–18. https://doi.org/10.5121/ijcax.2016.3301

	Agkathidis, A. (2016) Generative Design: Form-finding Techniques in Architecture , London: Laurence King Publishing

	Augustin, A., Yi, J., Clausen, T., & Townsley, W. M. (2016) A study of LoRa: Long range & low power networks for the internet of things , Sensors, 16(9), 1466

	Castells M (2016) From Cities to Networks: Power Rules , Journal of Classical Sociology 2016; 21(3–4): 260–262, doi:10. 1177/1468795X211022054.

	Chaszar, A, von Buelow, P and Turrin, M (2016) Multivariate Interactive Visualization of Data in Generative Design , 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design

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