Çagatay Yildiz

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Differential Equations

Gaussian Process

Dynamical Systems

Top Venues

Publications

Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis
Investigating Continual Pretraining in Large Language Models: Insights and Implications. CoRR (2024)
Çaglar Hizli, Çagatay Yildiz, Matthias Bethge, St John, Pekka Marttinen
Identifying latent state transition in non-linear dynamical systems. CoRR (2024)
Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
Invariant Neural Ordinary Differential Equations. CoRR (2023)
Valerii Iakovlev, Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
Latent Neural ODEs with Sparse Bayesian Multiple Shooting. ICLR (2023)
Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
Disentangled Continual Learning: Separating Memory Edits from Model Updates. CoRR (2023)
Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
Modulated Neural ODEs. NeurIPS (2023)
Valerii Iakovlev, Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
Latent Neural ODEs with Sparse Bayesian Multiple Shooting. CoRR (2022)
Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs. CoRR (2022)
Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
Variational multiple shooting for Bayesian ODEs with Gaussian processes. UAI (2022)
Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch
Learning interacting dynamical systems with latent Gaussian process ODEs. NeurIPS (2022)
Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
Continuous-time Model-based Reinforcement Learning. ICML (2021)
Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
Continuous-Time Model-Based Reinforcement Learning. CoRR (2021)
Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
Bayesian inference of ODEs with Gaussian processes. CoRR (2021)
Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks. NeurIPS (2019)
Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks. CoRR (2019)
Çagatay Yildiz, Baris Kurt, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil
A real-time SIP network simulation and monitoring system. SoftwareX 8 (2018)
Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. ICML (2018)
Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil
A Bayesian change point model for detecting SIP-based DDoS attacks. Digit. Signal Process. 77 (2018)
Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. CoRR (2018)
Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, Harri Lähdesmäki
Learning stochastic differential equations with Gaussian Processes without Gradient Matching. MLSP (2018)
Markus Heinonen, Çagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, Harri Lähdesmäki
Learning unknown ODE models with Gaussian processes. ICML (2018)
Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, Harri Lähdesmäki
Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching. CoRR (2018)
Çagatay Yildiz, Haluk O. Bingol, Gulcin Irim-Celik, Berrin Aktekin, Canan Aykut-Bingöl
A Bayesian change point model for epileptic seizure detection. SIU (2017)
Çagatay Yildiz, Taha Yusuf Ceritli, Baris Kurt, Bülent Sankur, Ali Taylan Cemgil
Attack detection in VOIP networks using Bayesian multiple change-point models. SIU (2016)
Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Mehmet Yamac, Murat Semerci, Bülent Sankur, Ali Taylan Cemgil
A probabilistic SIP network simulation system. SIU (2016)