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$Φ$-DVAE: Learning Physically Interpretable Representations with Nonlinear Filtering.

A. Glyn-Davies, C. Duffin, Ö. Akyildiz, and M. Girolami. CoRR, (2022)

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Emin Sinan Ömeroglu

Ömer Gezerel

Ömer Sahinyilmaz

Ömer Akbulut

Ömer Yildiz

Other publications of authors with the same name

Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization.Ö. Akyildiz, and S. Sabanis. J. Mach. Learn. Res., (2024)Non-asymptotic Analysis of Diffusion Annealed Langevin Monte Carlo for Generative Modelling.P. Cordero-Encinar, Ö. Akyildiz, and A. Duncan. CoRR, (February 2025)On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates.S. Bruno, Y. Zhang, D. Lim, Ö. Akyildiz, and S. Sabanis. CoRR, (2023)A Proximal Newton Adaptive Importance Sampler.V. Elvira, É. Chouzenoux, and Ö. Akyildiz. IEEE Signal Process. Lett., (2025)Probabilistic Sequential Matrix Factorization.Ö. Akyildiz, G. van den Burg, T. Damoulas, and M. Steel. AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3484-3492. PMLR, (2021)Deep Probabilistic Models for Forward and Inverse Problems in Parametric PDEs.A. Vadeboncoeur, Ö. Akyildiz, I. Kazlauskaite, M. Girolami, and F. Cirak. CoRR, (2022)A Primer on Variational Inference for Physics-Informed Deep Generative Modelling.A. Glyn-Davies, A. Vadeboncoeur, Ö. Akyildiz, I. Kazlauskaite, and M. Girolami. CoRR, (2024)Random Grid Neural Processes for Parametric Partial Differential Equations.A. Vadeboncoeur, I. Kazlauskaite, Y. Papandreou, F. Cirak, M. Girolami, and Ö. Akyildiz. ICML, volume 202 of Proceedings of Machine Learning Research, page 34759-34778. PMLR, (2023)Nudging state-space models for Bayesian filtering under misspecified dynamics.F. González, Ö. Akyildiz, D. Crisan, and J. Míguez. Stat. Comput., 35 (4): 112 (August 2025)Adaptive noisy importance sampling for stochastic optimization.Ö. Akyildiz, I. Mariño, and J. Míguez. CAMSAP, page 1-5. IEEE, (2017)

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Disambiguation of "Akyildiz, Ömer Deniz"

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$Φ$-DVAE: Learning Physically Interpretable Representations with Nonlinear Filtering.

Please choose a person to relate this publication to

Emin Sinan Ömeroglu

Ömer Gezerel

Ömer Sahinyilmaz

Ömer Akbulut

Ömer Yildiz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Akyildiz, Ömer Deniz"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML $Φ$-DVAE: Learning Physically Interpretable Representations with Nonlinear Filtering.

Please choose a person to relate this publication to

Emin Sinan Ömeroglu

Ömer Gezerel

Ömer Sahinyilmaz

Ömer Akbulut

Ömer Yildiz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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$Φ$-DVAE: Learning Physically Interpretable Representations with Nonlinear Filtering.