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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	Ho J, Jain A and Abbeel P (2020) Denoising diffusion probabilistic models , Epub ahead of print December 2020. DOI: 10.48550/arXiv.2006.11239

	Ho J, Jain A, and Abbeel P (2020) Denoising Diffusion Probabilistic Models , 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada

	Ho, J., Jain, A., & Abbeel, P. (2020) Denoising diffusion probabilistic models , Advances in neural information processing systems, 33, 6840-6851

	Ho, J., Jain, A., & Abbeel, P. (2020) Denoising diffusion probabilistic models , Paper presented at the Advances in Neural Information Processing Systems, 2020-December

	A. Ostertag, M. Dazer, B. Bertsche, F. Schlegl, S. Albrecht, P. Leistner, A. Gienger, J. Wagner, C. Tarín, and O. Sawodny (2020) Reliable Design of Adaptive Load-Bearing Structures with Focus on Sustainability , Proceeding of the 30th European Safety and Reliability Conference and15th Probabilistic Safety Assessment and Management Conference. Venice, Italy. 4703–10

	A. Plumerault, H. Le Borgne, and C. Hudelot (2020) Controlling Generative Models with Continuous Factors of Variations , ArXiv

	Abualdenien, J, Schneider-Marin, P, Zahedi, A, Harter, H, Exner, H, Steiner, D, Mahan Singh, M, Borrmann, A, Lang, W, Petzold, F, KÃ¶nig, M, Geyer, P and Schnellenbach-Held, M (2020) Consistent management and evaluation of building models in the early design stages , Journal of Information Technology in Construction, 25, pp. 212-232

	Alvarez-Marin, Diana and Saldana Ochoa, Karla (2020) Indexical Cities: Articulating Personal Models of Urban Preference with Geotagged Data , CoRR, abs/2001.10615, p. https://arxiv.org/abs/2001.10615

	Arora, H, Langenhan, C, Petzold, F, Eisenstadt, V and Althoff, K-D (2020) Autocomplete designs by suggesting best practice design solutions in digital semantic building models (BIM) by combining AI approaches of case-based design and deep learning , Proceedings of ECPPM 2020, Moscow (accepted)

	Arora, H, Langenhan, C, Petzold, F, Eisenstadt, V and Althoff, KD (2020) METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models , ECPPM 2020-2021

	Arora, H, Langenhan, C, Petzold, F, Eisenstadt, V and Althoff, KD (2020) METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models , ECPPM-2020/21

	Arora, H, Langenhan, C, Petzold,, F, Eisenstadt,, V and Althoff, K-D (2020) METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models , ECPPM-European Conference on Product and Process Modeling

	Aviv, Dorit, Miaomiao Hou, Hongshan Guo, Eric Teitelbaum, and Forrest Meggers (2020) Simulating Invisible Light: Adapting Lighting and Geometry Models for Radiant Heat Transfer , SimAUD 2020 [Proceedings of the Symposium on Simulation for Architecture & Urban Design], Vienna, Austria, 25–27 May 2020, edited by Angelos Chronis, Gabriel Wurzer, Wolfgang E. Lorenz, Christiane M. Herr, Ulrich Pont, Dana Cupkova, and Gabriel Wainer, 311–318. SCS

	Battulwar, R., et al. (2020) Practical Methodology for Generating High-Resolution 3D Models of Open-Pit Slopes Using UAVs: Flight Path Planning and Optimization , Remote Sensing 12, no. 14: 2283

	Biljecki, F., Lim, J., Crawford, J., Moraru, D., Tauscher, H., Konde, A., Adouane, K., Lawrence, S., Janssen, P. & Stouffs, R. (2021) Extending CityGML for IFC-sourced 3D city models , Automation in Construction, 121, 103440. https://doi.org/10.1016/J.AUTCON.2020.103440The CEA Team. (2021). CityEnergyAnalyst v3.24.0 (v3.24.0). Zenodo. https://doi.org/10.5281/zenodo.5037913

	Brown TB, Mann B, Ryder N, et al (2020) Language models are few-shot learners , Epub ahead of print July 2020. DOI: 10.48550/arXiv.2005.14165

	Brown, T., Et Al. (2020) Language Models are Few-shot Learners , H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. L(Eds.), Advances Neural Information Processing Systems (Vol. 33, pp. 1877-191)

	Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D., Wu, J., Winter, C., ... Amodei, D. (2020) Language Models are Few-shot Learners , Advances in Neural Information Processing Systems, 33, 1877-191. Available at: https://papers.nips.cc/paper/22/hash/1457cd6bf

	Brown, TB, Mann, B, Ryder, N, Subbiah, M, Kaplan, J, Dhariwal, P, Neelakantan, A and ., et al (2020) Language Models Are Few-Shot Learners , arXiv:2005.14165 [cs]

	Chatzimparmpas A, et al (2020) Enhancing Trust in Machine Learning Models with the Use of Visualizations , Computer Graphics Forum; 39:3, p. 713–756.

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