O. Deniz Akyildiz

According to our database, O. Deniz Akyildiz authored at least 7 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Consistency Regularised Gradient Flows for Inverse Problems.

Alessio Spagnoletti, Tim Y. J. Wang, Marcelo Pereyra, O. Deniz Akyildiz

CoRR, May, 2026

Momentum SVGD-EM for Accelerated Maximum Marginal Likelihood Estimation.

Adam Rozzio, Rafael Athanasiades, O. Deniz Akyildiz

CoRR, March, 2026

Efficient Stochastic Optimisation via Sequential Monte Carlo.

James Cuin, Davide Carbone, Yanbo Tang, O. Deniz Akyildiz

CoRR, January, 2026

2025

Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics.

Joanna Marks, Tim Y. J. Wang, O. Deniz Akyildiz

CoRR, October, 2025

A Gradient Flow Approach to Solving Inverse Problems with Latent Diffusion Models.

Tim Y. J. Wang, O. Deniz Akyildiz

CoRR, September, 2025

Training Latent Diffusion Models with Interacting Particle Algorithms.

Tim Y. J. Wang, Juan Kuntz, O. Deniz Akyildiz

CoRR, May, 2025

Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm.

James Cuin, Davide Carbone, O. Deniz Akyildiz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025