Akyildiz, Omer Deniz

7 publications

TMLR 2025 On Diffusion-Based Generative Models and Their Error Bounds: The Log-Concave Case with Full Convergence Estimates Stefano Bruno, Ying Zhang, Dongyoung Lim, Omer Deniz Akyildiz, Sotirios Sabanis

UAI 2025 Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar, Francesca Romana Crucinio, Omer Deniz Akyildiz

TMLR 2024 Tweedie Moment Projected Diffusions for Inverse Problems Benjamin Boys, Mark Girolami, Jakiw Pidstrigach, Sebastian Reich, Alan Mosca, Omer Deniz Akyildiz

ICML 2023 Random Grid Neural Processes for Parametric Partial Differential Equations Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Omer Deniz Akyildiz

AISTATS 2021 Probabilistic Sequential Matrix Factorization Omer Deniz Akyildiz, Gerrit Burg, Theodoros Damoulas, Mark Steel

NeurIPS 2020 Generalised Bayesian Filtering via Sequential Monte Carlo Ayman Boustati, Omer Deniz Akyildiz, Theodoros Damoulas, Adam Johansen

NeurIPS 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco Ruiz, Omer Deniz Akyildiz