Literatura científica selecionada sobre o tema "Differentiable model"
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Artigos de revistas sobre o assunto "Differentiable model"
Putra, Roni Tri. "Model Epidemi Seir dengan Insidensi Standar". Jurnal Ilmiah Poli Rekayasa 12, n.º 1 (14 de outubro de 2016): 73. http://dx.doi.org/10.30630/jipr.12.1.37.
Texto completo da fontePutra, Roni Tri, Sukatik e Sri Nita. "Kestabilan Model Epidemi SEIR Dengan Laju Insidensi". Jurnal Ilmiah Poli Rekayasa 10, n.º 2 (14 de abril de 2015): 74. http://dx.doi.org/10.30630/jipr.10.2.77.
Texto completo da fontePutra, Roni Tri, e Quinoza Guvil. "Kestabilan Model Epidemi Dengan Laju Insidensi Jenuh". Jurnal Ilmiah Poli Rekayasa 13, n.º 1 (16 de outubro de 2017): 43. http://dx.doi.org/10.30630/jipr.13.1.64.
Texto completo da fonteSzidarovsky, Ferenc, e Koji Okuguchi. "A non-differentiable input-output model". Mathematical Social Sciences 18, n.º 2 (outubro de 1989): 187–90. http://dx.doi.org/10.1016/0165-4896(89)90044-9.
Texto completo da fontePutra, Roni Tri. "Analisis Eksistensi dan Ketunggalan Solusi Model Epidemi SEIR". Jurnal Ilmiah Poli Rekayasa 10, n.º 1 (15 de outubro de 2014): 65. http://dx.doi.org/10.30630/jipr.10.1.58.
Texto completo da fonteCho, Jin Seo, e Halbert White. "DIRECTIONALLY DIFFERENTIABLE ECONOMETRIC MODELS". Econometric Theory 34, n.º 5 (22 de agosto de 2017): 1101–31. http://dx.doi.org/10.1017/s0266466617000354.
Texto completo da fonteSwietojanski, Pawel, e Steve Renals. "Differentiable Pooling for Unsupervised Acoustic Model Adaptation". IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, n.º 10 (outubro de 2016): 1773–84. http://dx.doi.org/10.1109/taslp.2016.2584700.
Texto completo da fonteAgop, M., O. Niculescu, A. Timofte, L. Bibire, A. S. Ghenadi, A. Nicuta, C. Nejneru e G. V. Munceleanu. "Non-Differentiable Mechanical Model and Its Implications". International Journal of Theoretical Physics 49, n.º 7 (9 de abril de 2010): 1489–506. http://dx.doi.org/10.1007/s10773-010-0330-5.
Texto completo da fonteShi, Peng, Guoyan Huang, Hongdou He, Guyu Zhao, Xiaobing Hao e Yifang Huang. "Few-shot regression with differentiable reference model". Information Sciences 658 (fevereiro de 2024): 120010. http://dx.doi.org/10.1016/j.ins.2023.120010.
Texto completo da fonteRokhlin, Dmitry B., e Anatoly Usov. "Rational taxation in an open access fishery model". Archives of Control Sciences 27, n.º 1 (1 de março de 2017): 5–27. http://dx.doi.org/10.1515/acsc-2017-0001.
Texto completo da fonteTeses / dissertações sobre o assunto "Differentiable model"
Cowan, John D. "A billiard model for a gas of particles with rotation /". Thesis, Connect to Dissertations & Theses @ Tufts University, 2004.
Encontre o texto completo da fonteAdviser: Boris Hasselblatt. Submitted to the Dept. of Mathematics. Includes bibliographical references (leaves 61-62). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
Collins, Jack T. "Simulation to reality and back: A robot's guide to crossing the reality gap". Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/230537/1/Jack_Collins_Thesis.pdf.
Texto completo da fonteOgden, Richard R. "Differential rotation and the geodynamo". Thesis, University of Glasgow, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264156.
Texto completo da fonteNagloo, Joel Chris Ronnie. "Model theory, algebra and differential equations". Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/6813/.
Texto completo da fonteBjørneng, Bjørn. "How to increase the understanding of differentials by using the Casio-calculator model 9860 G I/II to solve differential equations". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-79468.
Texto completo da fonteKriwet, Gregor [Verfasser]. "Methods for Model Calibration and Design of Optimal Experiments for Partial Differential Equation Models / Gregor Kriwet". Aachen : Shaker, 2016. http://d-nb.info/1118258258/34.
Texto completo da fonteBaldi, Guillaume. "Contributions à la modélisation procédurale de structures cellulaires stochastoques 2D et à leur génération par l'exemple". Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD001.
Texto completo da fonteThe creation of procedural materials and textures requires considerable expertise, and is time-consuming, tedious and costly. We are therefore looking to develop tools for the automatic generation of procedural textures and materials from input exemplars provided in the form of images: This is known as inverse procedural modeling.In this thesis, we propose a procedural model called Cellular Point Process Texture Basis Function (C-PPTBF) for representing 2D stochastic cellular structures, involving functions that are differentiable with respect to most of their parameters, making it possible to estimate these parameters from examples without resorting entirely to deep neural networks. We have set up a processing pipeline to estimate the parameters of our model from structural examples provided in the form of binary images, combining an estimation performed using a convolutional neural network trained on images produced with our C-PPTBF model and an estimation phase using gradient descent directly on the parameters of the procedural model
Francia, Giulio. "Differential display application to a Melanoma model". Thesis, King's College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300029.
Texto completo da fonteHanig, Marco. "Differential gaming models of oligopoly". Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/14869.
Texto completo da fonteTitle as it appeared in the Massachusetts Institute of Technology Graduate List, June 1987: Differential game models of oligopoly.
Bibliography: leaves 242-249.
by Marco Hanig.
Ph.D.
Cruz, Jorge Carlos Ferreira Rodrigues da. "Constraint reasoning for differential models". Doctoral thesis, FCT - UNL, 2003. http://hdl.handle.net/10362/1061.
Texto completo da fonteLivros sobre o assunto "Differentiable model"
Antonio, Palacios, Schweitzer Frank, Kacprzyk Janusz, Sornette Didier 1957-, Érdi Péter, Schuster Peter, Reichl L. E et al., eds. Applications of Nonlinear Dynamics: Model and Design of Complex Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.
Encontre o texto completo da fonteDuffie, Darrell. Asset pricing with stochastic differential utility. Toronto: Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1991.
Encontre o texto completo da fonteVisintin, Augusto. Differential Models of Hysteresis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-11557-2.
Texto completo da fonteJüngel, Ansgar, Raul Manasevich, Peter A. Markowich e Henrik Shahgholian, eds. Nonlinear Differential Equation Models. Vienna: Springer Vienna, 2004. http://dx.doi.org/10.1007/978-3-7091-0609-9.
Texto completo da fonteJüngel, Ansgar. Nonlinear Differential Equation Models. Vienna: Springer Vienna, 2004.
Encontre o texto completo da fonte1966-, Jüngel Ansgar, e Vienna Workshop on Nonlinear Models and Analysis (2002), eds. Nonlinear differential equation models. Wien: Springer, 2004.
Encontre o texto completo da fonteVisintin, A. Differential models of hysteresis. Berlin: Springer, 1994.
Encontre o texto completo da fonteLi, Qiang. China’s Development Under a Differential Urbanization Model. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9451-5.
Texto completo da fonteQuarteroni, Alfio. Numerical Models for Differential Problems. Milano: Springer Milan, 2009. http://dx.doi.org/10.1007/978-88-470-1071-0.
Texto completo da fonteQuarteroni, Alfio. Numerical Models for Differential Problems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49316-9.
Texto completo da fonteCapítulos de livros sobre o assunto "Differentiable model"
Meidani, Kazem, Igor Borovikov, Amir Barati Farimani e Harold Chaput. "Inverse Lighting with Differentiable Physically-Based Model". In Lecture Notes in Computer Science, 286–300. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44505-7_20.
Texto completo da fontePresta, Alberto, Attilio Fiandrotti, Enzo Tartaglione e Marco Grangetto. "A Differentiable Entropy Model for Learned Image Compression". In Image Analysis and Processing – ICIAP 2023, 328–39. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43148-7_28.
Texto completo da fonteWilson, Paul, e Fabio Zanasi. "Categories of Differentiable Polynomial Circuits for Machine Learning". In Graph Transformation, 77–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09843-7_5.
Texto completo da fonteLi, Long, Etienne Mémin e Gilles Tissot. "Stochastic Parameterization with Dynamic Mode Decomposition". In Mathematics of Planet Earth, 179–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_11.
Texto completo da fonteKolek, Stefan, Duc Anh Nguyen, Ron Levie, Joan Bruna e Gitta Kutyniok. "A Rate-Distortion Framework for Explaining Black-Box Model Decisions". In xxAI - Beyond Explainable AI, 91–115. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04083-2_6.
Texto completo da fonteJaniczek, John, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen e Suren Jayasuriya. "Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model". In Computer Vision – ECCV 2020, 649–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58583-9_39.
Texto completo da fonteMillard, Matthew, David Franklin e Walter Herzog. "A Continuous and Differentiable Mechanical Model of Muscle Force and Impedance". In Biosystems & Biorobotics, 262–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01887-0_50.
Texto completo da fonteAscoli, Alon, Ronald Tetzlaff e Leon Chua. "Continuous and Differentiable Approximation of a TaO Memristor Model for Robust Numerical Simulations". In Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences, 61–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47810-4_6.
Texto completo da fonteWei, Xian, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen e Xuan Tang. "Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number". In Lecture Notes in Computer Science, 690–707. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19772-7_40.
Texto completo da fonteOuala, Said, Pierre Tandeo, Bertrand Chapron, Fabrice Collard e Ronan Fablet. "End-to-End Kalman Filter in a High Dimensional Linear Embedding of the Observations". In Mathematics of Planet Earth, 211–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_13.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Differentiable model"
Kotary, James, Vincenzo Di Vito e Ferdinando Fioretto. "Differentiable Model Selection for Ensemble Learning". In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/217.
Texto completo da fonteVishniakou, Ivan, e Johannes D. Seelig. "Differentiable Model-based Adaptive Optics for Microscopy". In Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/cosi.2021.cm1a.3.
Texto completo da fonteBern, James M., Yannick Schnider, Pol Banzet, Nitish Kumar e Stelian Coros. "Soft Robot Control With a Learned Differentiable Model". In 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft). IEEE, 2020. http://dx.doi.org/10.1109/robosoft48309.2020.9116011.
Texto completo da fontePilault, Jonathan, Can Liu, Mohit Bansal e Markus Dreyer. "On Conditional and Compositional Language Model Differentiable Prompting". In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/460.
Texto completo da fonteLutter, Michael, Johannes Silberbauer, Joe Watson e Jan Peters. "Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning". In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561805.
Texto completo da fonteZhi, Bowen, Alisha Sharma, Dmitry N. Zotkin e Ramani Duraiswami. "A Differentiable Image Source Model for Room Acoustics Optimization". In 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2023. http://dx.doi.org/10.1109/waspaa58266.2023.10248140.
Texto completo da fonteWang, Zhuoer, Yicheng Wang, Ziwei Zhu e James Caverlee. "Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model". In Findings of the Association for Computational Linguistics: EMNLP 2023. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.findings-emnlp.379.
Texto completo da fonteRichard, Gaël, Pierre Chouteau e Bernardo Torres. "A Fully Differentiable Model for Unsupervised Singing Voice Separation". In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024. http://dx.doi.org/10.1109/icassp48485.2024.10447244.
Texto completo da fonteTschiatschek, Sebastian, Aytunc Sahin e Andreas Krause. "Differentiable Submodular Maximization". In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/379.
Texto completo da fonteHong, Charles, Qijing Huang, Grace Dinh, Mahesh Subedar e Yakun Sophia Shao. "DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators". In MICRO '23: 56th Annual IEEE/ACM International Symposium on Microarchitecture. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3613424.3623797.
Texto completo da fonteRelatórios de organizações sobre o assunto "Differentiable model"
Urban, Nathan. Black-Box Neural System Identificationand Differentiable Programming to Improve Earth System Model PredictionsFebruary. Office of Scientific and Technical Information (OSTI), março de 2021. http://dx.doi.org/10.2172/1769681.
Texto completo da fonteOtrok, Christopher, Huigang Chen, Alessandro Rebucci, Gianluca Benigno e Eric R. Young. Optimal Policy for Macro-Financial Stability. Inter-American Development Bank, dezembro de 2012. http://dx.doi.org/10.18235/0011440.
Texto completo da fonteMiller, Jonah Maxwell. The Differential Equations That Model Diseases. Office of Scientific and Technical Information (OSTI), março de 2020. http://dx.doi.org/10.2172/1606334.
Texto completo da fonteDíaz Alvarado, Carlos, Ugo Panizza e Alejandro Izquierdo. Fiscal Sustainability in Emerging Market Countries with an Application to Ecuador. Inter-American Development Bank, agosto de 2004. http://dx.doi.org/10.18235/0010831.
Texto completo da fonteChilders, David, Jesús Fernández-Villaverde, Jesse Perla, Christopher Rackauckas e Peifan Wu. Differentiable State-Space Models and Hamiltonian Monte Carlo Estimation. Cambridge, MA: National Bureau of Economic Research, outubro de 2022. http://dx.doi.org/10.3386/w30573.
Texto completo da fontePetra, Noei, e Georg Stadler. Model Variational Inverse Problems Governed by Partial Differential Equations. Fort Belvoir, VA: Defense Technical Information Center, março de 2011. http://dx.doi.org/10.21236/ada555315.
Texto completo da fonteSchramm, Harrison C., e Nedialko B. Dimitrov. Differential Equation Models for Sharp Threshold Dynamics. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2012. http://dx.doi.org/10.21236/ada567671.
Texto completo da fonteHe, Xihua. PR-015-113601-R02 Validation of Internal Corrosion Threat Models for Dry Natural Gas Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), agosto de 2015. http://dx.doi.org/10.55274/r0010914.
Texto completo da fonteDoyle, Wendy S. K., David C. Thompson e Philippe Pierre Pebay. A data storage model for novel partial differential equation descretizations. Office of Scientific and Technical Information (OSTI), abril de 2007. http://dx.doi.org/10.2172/907817.
Texto completo da fonteMocan, H. Naci, Stephen Billups e Jody Overland. A Dynamic Model of Differential Human Capital and Criminal Activity. Cambridge, MA: National Bureau of Economic Research, março de 2000. http://dx.doi.org/10.3386/w7584.
Texto completo da fonte