Yildiz, Cagatay

8 publications

ICMLW 2024 Identifying Latent State Transition in Non-Linear Dynamical Systems Çağlar Hızlı, Çagatay Yildiz, Matthias Bethge, S. T. John, Pekka Marttinen

CoLLAs 2024 Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio, Çagatay Yildiz, Gido M. Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge

ICLR 2023 Latent Neural ODEs with Sparse Bayesian Multiple Shooting Valerii Iakovlev, Cagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

NeurIPSW 2022 Latent GP-ODEs with Informative Priors Ilze Amanda Auzina, Cagatay Yildiz, Efstratios Gavves

ICML 2021 Continuous-Time Model-Based Reinforcement Learning Cagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

NeurIPS 2019 ODE2VAE: Deep Generative Second Order ODEs with Bayesian Neural Networks Cagatay Yildiz, Markus Heinonen, Harri Lahdesmaki

ICML 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization Umut Simsekli, Cagatay Yildiz, Than Huy Nguyen, Taylan Cemgil, Gael Richard

ICML 2018 Learning Unknown ODE Models with Gaussian Processes Markus Heinonen, Cagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, Harri Lähdesmäki