Çagatay Yildiz

According to our database, Çagatay Yildiz authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating Continual Pretraining in Large Language Models: Insights and Implications.

Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis

CoRR, 2024

2023

Disentangled Continual Learning: Separating Memory Edits from Model Updates.

Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge

CoRR, 2023

Invariant Neural Ordinary Differential Equations.

Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves

CoRR, 2023

Modulated Neural ODEs.

Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent Neural ODEs with Sparse Bayesian Multiple Shooting.

Valerii Iakovlev, Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Differential Equations for Machine Learning.

Çagatay Yildiz

PhD thesis, 2022

Variational multiple shooting for Bayesian ODEs with Gaussian processes.

Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning interacting dynamical systems with latent Gaussian process ODEs.

Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Bayesian inference of ODEs with Gaussian processes.

Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen

CoRR, 2021

Continuous-time Model-based Reinforcement Learning.

Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks.

Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

CoRR, 2019

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks.

Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

A real-time SIP network simulation and monitoring system.

Çagatay Yildiz, Baris Kurt, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil

SoftwareX, 2018

A Bayesian change point model for detecting SIP-based DDoS attacks.

Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil

Digit. Signal Process., 2018

Learning stochastic differential equations with Gaussian Processes without Gradient Matching.

Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, Harri Lähdesmäki

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization.

Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning unknown ODE models with Gaussian processes.

Markus Heinonen, Çagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, Harri Lähdesmäki

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

A Bayesian change point model for epileptic seizure detection.

Çagatay Yildiz, Haluk O. Bingol, Gulcin Irim-Celik, Berrin Aktekin, Canan Aykut-Bingöl

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016

Attack detection in VOIP networks using Bayesian multiple change-point models.

Çagatay Yildiz, Taha Yusuf Ceritli, Baris Kurt, Bülent Sankur, Ali Taylan Cemgil

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A probabilistic SIP network simulation system.

Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Mehmet Yamac, Murat Semerci, Bülent Sankur, Ali Taylan Cemgil

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016