Статті в журналах з теми "Deep generative modeling"
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Blaschke, Thomas, and Jürgen Bajorath. "Compound dataset and custom code for deep generative multi-target compound design." Future Science OA 7, no. 6 (July 2021): FSO715. http://dx.doi.org/10.2144/fsoa-2021-0033.
Joshi, Ameya, Minsu Cho, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, and Chinmay Hegde. "InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4377–84. http://dx.doi.org/10.1609/aaai.v34i04.5863.
Lai, Peter, and Feruza Amirkulova. "Acoustic metamaterial design using Conditional Wasserstein Generative Adversarial Networks." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A253. http://dx.doi.org/10.1121/10.0011234.
Strokach, Alexey, and Philip M. Kim. "Deep generative modeling for protein design." Current Opinion in Structural Biology 72 (February 2022): 226–36. http://dx.doi.org/10.1016/j.sbi.2021.11.008.
Lopez, Romain, Jeffrey Regier, Michael B. Cole, Michael I. Jordan, and Nir Yosef. "Deep generative modeling for single-cell transcriptomics." Nature Methods 15, no. 12 (November 30, 2018): 1053–58. http://dx.doi.org/10.1038/s41592-018-0229-2.
Lee, Ung-Gi, Sang-Hee Kang, Jong-Chan Lee, Seo-Yeon Choi, Ukmyung Choi, and Cheol-Il Lim. "Development of Deep Learning-based Art Learning Support Tool: Using Generative Modeling." Korean Association for Educational Information and Media 26, no. 1 (March 31, 2020): 207–36. http://dx.doi.org/10.15833/kafeiam.26.1.207.
Behnia, Farnaz, Dominik Karbowski, and Vadim Sokolov. "Deep generative models for vehicle speed trajectories." Applied Stochastic Models in Business and Industry 39, no. 5 (September 2023): 701–19. http://dx.doi.org/10.1002/asmb.2816.
Janson, Giacomo, and Michael Feig. "Transferable deep generative modeling of intrinsically disordered protein conformations." PLOS Computational Biology 20, no. 5 (May 23, 2024): e1012144. http://dx.doi.org/10.1371/journal.pcbi.1012144.
Zhang, Chun, Liangxu Xie, Xiaohua Lu, Rongzhi Mao, Lei Xu, and Xiaojun Xu. "Developing an Improved Cycle Architecture for AI-Based Generation of New Structures Aimed at Drug Discovery." Molecules 29, no. 7 (March 27, 2024): 1499. http://dx.doi.org/10.3390/molecules29071499.
Guliev, R. "Generative adversarial networks for modeling reservoirs with permeability anisotropy." IOP Conference Series: Materials Science and Engineering 1201, no. 1 (November 1, 2021): 012066. http://dx.doi.org/10.1088/1757-899x/1201/1/012066.
Li, Guangyu, Bo Jiang, Hao Zhu, Zhengping Che, and Yan Liu. "Generative Attention Networks for Multi-Agent Behavioral Modeling." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7195–202. http://dx.doi.org/10.1609/aaai.v34i05.6209.
Drygala, C., B. Winhart, F. di Mare, and H. Gottschalk. "Generative modeling of turbulence." Physics of Fluids 34, no. 3 (March 2022): 035114. http://dx.doi.org/10.1063/5.0082562.
Qiu, Cheng, Anam Abbas, and Feruza Amirkulova. "Pentamode metamaterial design via generative modeling and deep learning." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A255. http://dx.doi.org/10.1121/10.0011241.
Veres, Matthew, Medhat Moussa, and Graham W. Taylor. "Modeling Grasp Motor Imagery Through Deep Conditional Generative Models." IEEE Robotics and Automation Letters 2, no. 2 (April 2017): 757–64. http://dx.doi.org/10.1109/lra.2017.2651945.
Zhang, Zaiwei, Zhenpei Yang, Chongyang Ma, Linjie Luo, Alexander Huth, Etienne Vouga, and Qixing Huang. "Deep Generative Modeling for Scene Synthesis via Hybrid Representations." ACM Transactions on Graphics 39, no. 2 (April 14, 2020): 1–21. http://dx.doi.org/10.1145/3381866.
Wang, Yong, Guoliang Li, Kaiyu Li, and Haitao Yuan. "A Deep Generative Model for Trajectory Modeling and Utilization." Proceedings of the VLDB Endowment 16, no. 4 (December 2022): 973–85. http://dx.doi.org/10.14778/3574245.3574277.
Martínez-Palomera, Jorge, Joshua S. Bloom, and Ellianna S. Abrahams. "Deep Generative Modeling of Periodic Variable Stars Using Physical Parameters." Astronomical Journal 164, no. 6 (November 30, 2022): 263. http://dx.doi.org/10.3847/1538-3881/ac9b3f.
Amirkulova, Feruza, Linwei Zhou, Anam Abbas, Peter Lai, Cheng Qiu, and Tristan A. Shah. "Acoustic metamaterial design framework using deep learning and generative modeling." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A253. http://dx.doi.org/10.1121/10.0011233.
Wang, Wei-Ching. "Sound localization via deep learning, generative modeling, and global optimization." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A255. http://dx.doi.org/10.1121/10.0011240.
Yuan, Hao, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, and Shuiwang Ji. "Computational modeling of cellular structures using conditional deep generative networks." Bioinformatics 35, no. 12 (November 6, 2018): 2141–49. http://dx.doi.org/10.1093/bioinformatics/bty923.
Li, Shuai, and Hongjun Li. "Deep Generative Modeling Based on VAE-GAN for 3D Indoor Scene Synthesis." International Journal of Computer Games Technology 2023 (September 20, 2023): 1–11. http://dx.doi.org/10.1155/2023/3368647.
Borysov, Stanislav S., Jeppe Rich, and Francisco C. Pereira. "How to generate micro-agents? A deep generative modeling approach to population synthesis." Transportation Research Part C: Emerging Technologies 106 (September 2019): 73–97. http://dx.doi.org/10.1016/j.trc.2019.07.006.
Faez, Faezeh, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, and Hamid R. Rabiee. "SCGG: A deep structure-conditioned graph generative model." PLOS ONE 17, no. 11 (November 21, 2022): e0277887. http://dx.doi.org/10.1371/journal.pone.0277887.
Johnsen, Martin, Oliver Brandt, Sergio Garrido, and Francisco Pereira. "Population synthesis for urban resident modeling using deep generative models." Neural Computing and Applications 34, no. 6 (November 3, 2021): 4677–92. http://dx.doi.org/10.1007/s00521-021-06622-2.
Borsoi, Ricardo Augusto, Tales Imbiriba, and Jose Carlos Moreira Bermudez. "Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing." IEEE Transactions on Computational Imaging 6 (2020): 374–84. http://dx.doi.org/10.1109/tci.2019.2948726.
Zhang, Qing, Benqiang Wang, Xusheng Liang, Yizhen Li, Feng He, and Yuexiang Hao. "Digital Core Modeling Based on Pretrained Generative Adversarial Neural Networks." Geofluids 2022 (September 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/9159242.
Bucher, Martin Juan José, Michael Anton Kraus, Romana Rust, and Siyu Tang. "Performance-Based Generative Design for Parametric Modeling of Engineering Structures Using Deep Conditional Generative Models." Automation in Construction 156 (December 2023): 105128. http://dx.doi.org/10.1016/j.autcon.2023.105128.
Mishra, Akshansh, and Tarushi Pathak. "Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy." Indian Journal of Data Mining 1, no. 1 (May 10, 2021): 1–6. http://dx.doi.org/10.35940/ijdm.a1603.051121.
Mishra, Akshansh, and Tarushi Pathak. "Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy." Indian Journal of Data Mining 1, no. 1 (May 10, 2021): 1–6. http://dx.doi.org/10.54105/ijdm.a1603.051121.
Eguchi, Raphael R., Christian A. Choe, and Po-Ssu Huang. "Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation." PLOS Computational Biology 18, no. 6 (June 27, 2022): e1010271. http://dx.doi.org/10.1371/journal.pcbi.1010271.
Bianco, Michael J., Sharon Gannot, Efren Fernandez-Grande, and Peter Gerstoft. "Semi-Supervised Source Localization in Reverberant Environments With Deep Generative Modeling." IEEE Access 9 (2021): 84956–70. http://dx.doi.org/10.1109/access.2021.3087697.
Bianco, Michael J., Sharon Gannot, Efren Fernandez-Grande, and Peter Gerstoft. "Semi-supervised source localization in reverberant environments using deep generative modeling." Journal of the Acoustical Society of America 148, no. 4 (October 2020): 2662. http://dx.doi.org/10.1121/1.5147419.
Pham, Tuan Minh, and Xiangyang Ju. "Simulation of Hadronic Interactions with Deep Generative Models." EPJ Web of Conferences 295 (2024): 09034. http://dx.doi.org/10.1051/epjconf/202429509034.
Yoshimori, Atsushi, Filip Miljković, and Jürgen Bajorath. "Approach for the Design of Covalent Protein Kinase Inhibitors via Focused Deep Generative Modeling." Molecules 27, no. 2 (January 17, 2022): 570. http://dx.doi.org/10.3390/molecules27020570.
Mizginov, V. A., and S. Y. Danilov. "SYNTHETIC THERMAL BACKGROUND AND OBJECT TEXTURE GENERATION USING GEOMETRIC INFORMATION AND GAN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W12 (May 9, 2019): 149–54. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w12-149-2019.
Lim, Jieon, and Weonyoung Joo. "Counterfactual image generation by disentangling data attributes with deep generative models." Communications for Statistical Applications and Methods 30, no. 6 (November 30, 2023): 589–603. http://dx.doi.org/10.29220/csam.2023.30.6.589.
Saito, Yuki, Shinnosuke Takamichi, and Hiroshi Saruwatari. "Perceptual-Similarity-Aware Deep Speaker Representation Learning for Multi-Speaker Generative Modeling." IEEE/ACM Transactions on Audio, Speech, and Language Processing 29 (2021): 1033–48. http://dx.doi.org/10.1109/taslp.2021.3059114.
Zhang, Jincheng, and Xiaowei Zhao. "Wind farm wake modeling based on deep convolutional conditional generative adversarial network." Energy 238 (January 2022): 121747. http://dx.doi.org/10.1016/j.energy.2021.121747.
Wang, Liwei, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, and Wei Chen. "Deep generative modeling for mechanistic-based learning and design of metamaterial systems." Computer Methods in Applied Mechanics and Engineering 372 (December 2020): 113377. http://dx.doi.org/10.1016/j.cma.2020.113377.
Mujahid, Omer, Ivan Contreras, Aleix Beneyto, Ignacio Conget, Marga Giménez, and Josep Vehi. "Conditional Synthesis of Blood Glucose Profiles for T1D Patients Using Deep Generative Models." Mathematics 10, no. 20 (October 12, 2022): 3741. http://dx.doi.org/10.3390/math10203741.
Zervou, Michaela, Effrosyni Doutsi, Yannis Pantazis, and Panagiotis Tsakalides. "De Novo Antimicrobial Peptide Design with Feedback Generative Adversarial Networks." International Journal of Molecular Sciences 25, no. 10 (May 18, 2024): 5506. http://dx.doi.org/10.3390/ijms25105506.
Donovan-Maiye, Rory M., Jackson M. Brown, Caleb K. Chan, Liya Ding, Calysta Yan, Nathalie Gaudreault, Julie A. Theriot, Mary M. Maleckar, Theo A. Knijnenburg, and Gregory R. Johnson. "A deep generative model of 3D single-cell organization." PLOS Computational Biology 18, no. 1 (January 18, 2022): e1009155. http://dx.doi.org/10.1371/journal.pcbi.1009155.
Richie, Rodney C. "Basics of Artificial Intelligence (AI) Modeling." Journal of Insurance Medicine 51, no. 1 (May 28, 2024): 35–40. http://dx.doi.org/10.17849/insm-51-1-35-40.1.
Ruan, Xiongtao, and Robert F. Murphy. "Evaluation of methods for generative modeling of cell and nuclear shape." Bioinformatics 35, no. 14 (December 7, 2018): 2475–85. http://dx.doi.org/10.1093/bioinformatics/bty983.
Xu, Yanwu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, and Kayhan Batmanghelich. "Generative-Discriminative Complementary Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6526–33. http://dx.doi.org/10.1609/aaai.v34i04.6126.
Hou, Wenshu, Zicheng Liu, Junjie Deng, and Jiacheng Wang. "How does AI create and recommend corresponding wallpapers based on the games played by users?" Applied and Computational Engineering 42, no. 1 (February 23, 2024): 147–55. http://dx.doi.org/10.54254/2755-2721/42/20230770.
Shchetinin, Eugeny Yu. "Brain-computer interaction modeling based on the stable diffusion model." Discrete and Continuous Models and Applied Computational Science 31, no. 3 (September 12, 2023): 273–81. http://dx.doi.org/10.22363/2658-4670-2023-31-3-273-281.
Feldkamp, Niclas, Soeren Bergmann, Florian Conrad, and Steffen Strassburger. "A Method Using Generative Adversarial Networks for Robustness Optimization." ACM Transactions on Modeling and Computer Simulation 32, no. 2 (April 30, 2022): 1–22. http://dx.doi.org/10.1145/3503511.
Srikanth, M., and Bhanurangarao M. "Deep Learning Approaches for Predictive Modeling and Optimization of Metabolic Fluxes in Engineered Microorganism." Aug-Sept 2023, no. 35 (July 21, 2023): 1–11. http://dx.doi.org/10.55529/ijrise.35.1.11.
Varga, Michal, Ján Jadlovský, and Slávka Jadlovská. "Generative Enhancement of 3D Image Classifiers." Applied Sciences 10, no. 21 (October 22, 2020): 7433. http://dx.doi.org/10.3390/app10217433.