CoCoGen: Physically Consistent and Conditioned Score-Based Generative Models for Forward and Inverse Problems: CoCoGen: physically consistent and conditioned score-based generative models for forward and inverse problems

Authors: Christian Jacobsen, Yilin Zhuang, Karthik Duraisamy

Source: SIAM Journal on Scientific Computing. 47:C399-C425

Subject Terms: diffusion models, FOS: Computer and information sciences, Inverse problems for PDEs, Computer Science - Machine Learning, Partial differential equations of mathematical physics and other areas of application, generative AI, physical consistency, Learning and adaptive systems in artificial intelligence, computational physics, score-based generative models, conditional generative modeling, Machine Learning (cs.LG)

File Description: application/xml

Access URL: http://arxiv.org/abs/2312.10527

Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms

Authors: Ding, X., Wang, Y., Xu, Z., Welch, W.J., Wang, Z.J.

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Trans. Pattern Anal. Mach. Intell. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 45(7):8143-8158 Jul, 2023

Multi-domain inference and generative modeling for hand image synthesis ; Εκτίμηση σε πολλαπλά πεδία και παραγωγική μοντελοποίηση για σύνθεση εικόνων χεριών

Authors: Nikodimou, Vassilios-Clitos, Νικοδήμου, Βασίλειος-Κλείτος

Subject Terms: Συνθετικά Δεδομένα, Εκτίμηση βάθους χεριού, Πιθανολογική μοντελοποίηση, Τυχαίες μεταβλητές, Μοντελοποίηση υπό όρους, ∆ιαχωρισμός δεδομένων χεριού, Synthetic data, Hand depth estimation, Probabilistic generative modeling, Random variables, Conditional generative modeling, Hand data disentanglement, HandRGBD, VAE, RV-VAE, SRV-VAE, Επιστήμη Ηλεκτρονικών Υπολογιστών και Πληροφορική, Φυσικές Επιστήμες, Τεχνητή νοημοσύνη, άλλοι τομείς, Computer and Information Sciences, Natural Sciences, Artificial Intelligence, miscellaneous

Relation: https://hdl.handle.net/10442/hedi/58574

Availability: https://hdl.handle.net/10442/hedi/58574
https://doi.org/10.12681/eadd/58574