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1.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
2.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
3.
Exploring generative change
by VanQuickenborne, Terry, M.S.  Pepperdine University. 2010: 97 pages; 1479258.
4.
Role Transition through Layered Generative Learning: The Lived Experience of Advanced Sonographers
by Ismail, Catheeja, Ed.D.  The George Washington University. 2012: 394 pages; 3489795.
5.
Game-theoretic Approaches for Generative Modeling
by Gao, Jian, Ph.D.  New York University Tandon School of Engineering. 2020: 207 pages; 27672221.
6.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
7.
Towards the Exploration and Improvement of Generative Adversarial Attacks
by Leone, Stephen, M.E.  The Cooper Union for the Advancement of Science and Art. 2020: 130 pages; 27994576.
9.
Representing Linguistic Knowledge with Probabilistic Models
by Meylan, Stephan Charles, Ph.D.  University of California, Berkeley. 2018: 206 pages; 10931065.
10.
Towards Interpretable Models of Health
by Hallgrimsson, Harldur Tomas, Ph.D.  University of California, Santa Barbara. 2020: 123 pages; 28095664.
11.
Generative Leadership and Emergence: Case Studies in Higher Education
by Mike, Jeff, Ed.D.  The George Washington University. 2018: 215 pages; 10743301.
13.
Disappearance and Return: Psychoanalytic Perspectives on the Past
by Thorn, Nathaniel C., Psy.D.  Antioch University. 2012: 179 pages; 10807694.
14.
Complexity Leadership, Generative Emergence, and Innovation in High Performing Nonprofit Organizations
by Schonour, Lane, Ed.D.  The George Washington University. 2019: 306 pages; 13807351.
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17.
Generative Audio Systems: Musical Applications of Time-Varying Feedback Networks and Computational Aesthetics
by Surges, Gregory, Ph.D.  University of California, San Diego. 2015: 200 pages; 3741016.
19.
Adversarial Analysis and Molecular Coarse-Graining
by Durumeric, Aleksander Evren Paetzold, Ph.D.  The University of Chicago. 2021: 171 pages; 28314404.
20.
Measures and Models of Covert Visual Attention in Neurotypical Function and ADHD
by Mihali, Andra, Ph.D.  New York University. 2018: 222 pages; 10751244.
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22.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
23.
Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques
by Foulds, James Richard, Ph.D.  University of California, Irvine. 2014: 287 pages; 3631094.
25.
Integrating Exponential Dispersion Models to Latent Structures
by Basbug, Mehmet Emin, Ph.D.  Princeton University. 2017: 125 pages; 10254057.
28.
The generative impact of online critiques on individual art practice
by Im, Sang-Bin, Ed.D.C.T.  Teachers College, Columbia University. 2011: 389 pages; 3448032.
30.
Learning and Acting with Predictive Cognitive Maps
by Juliani, Arthur William, Ph.D.  University of Oregon. 2020: 201 pages; 28258863.
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