Çagatay Yildiz

Orcid: 0000-0002-7808-502X

According to our database¹, Çagatay Yildiz authored at least 30 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Beyond Benchmarks: A Novel Framework for Domain-Specific LLM Evaluation and Knowledge Mapping.

[BibT_eX]

[DOI]

Nitin Sharma

Thomas Wolfers

Çagatay Yildiz

CoRR, June, 2025

Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs.

[BibT_eX]

[DOI]

Atahan Özer

Çagatay Yildiz

CoRR, June, 2025

Object-level Self-Distillation for Vision Pretraining.

[BibT_eX]

[DOI]

Çaglar Hizli

Çagatay Yildiz

Pekka Marttinen

CoRR, June, 2025

A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny.

[BibT_eX]

[DOI]

Karahan Saritas

Çagatay Yildiz

CoRR, May, 2025

Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

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

[BibT_eX]

[DOI]

Çagatay Yildiz

Nishaanth Kanna Ravichandran

Nitin Sharma

Matthias Bethge

Beyza Ermis

Trans. Mach. Learn. Res., 2025

Identifying latent state transitions in non-linear dynamical systems.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Identifying latent state transition in non-linear dynamical systems.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Çagatay Yildiz

Nishaanth Kanna Ravichandran

Prishruit Punia

Matthias Bethge

Beyza Ermis

CoRR, 2024

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2024

2023

Disentangled Continual Learning: Separating Memory Edits from Model Updates.

[BibT_eX]

[DOI]

CoRR, 2023

Invariant Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2023

Modulated Neural ODEs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Differential Equations for Machine Learning.

[BibT_eX]

[DOI]

Çagatay Yildiz

PhD thesis, 2022

Variational multiple shooting for Bayesian ODEs with Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning interacting dynamical systems with latent Gaussian process ODEs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

Continuous-time Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Çagatay Yildiz

Markus Heinonen

Harri Lähdesmäki

CoRR, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

SoftwareX, 2018

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

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Learning stochastic differential equations with Gaussian Processes without Gradient Matching.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Learning unknown ODE models with Gaussian processes.

[BibT_eX]

[DOI]

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

2017

A Bayesian change point model for epileptic seizure detection.

[BibT_eX]

[DOI]

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

2016

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

[BibT_eX]

[DOI]

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

A probabilistic SIP network simulation system.

[BibT_eX]

[DOI]

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

Çagatay Yildiz

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