Çagatay Yildiz

38 papers A* 9A 1Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny. ACL (4) Karahan Saritas, Çagatay Yildiz
2025	J	`jnl`	A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny. CoRR Karahan Saritas, Çagatay Yildiz
2025	J	`jnl`	Beyond Benchmarks: A Novel Framework for Domain-Specific LLM Evaluation and Knowledge Mapping. CoRR Nitin Sharma, Thomas Wolfers, Çagatay Yildiz
2025	A*	`conf`	Identifying latent state transitions in non-linear dynamical systems. ICLR Çaglar Hizli, Çagatay Yildiz, Matthias Bethge, S. T. John, Pekka Marttinen
2025	J	`jnl`	Investigating Continual Pretraining in Large Language Models: Insights and Implications. Trans. Mach. Learn. Res. Çagatay Yildiz, Nishaanth Kanna Ravichandran, Nitin Sharma, Matthias Bethge, Beyza Ermis
2025	J	`jnl`	Object-level Self-Distillation for Vision Pretraining. CoRR Çaglar Hizli, Çagatay Yildiz, Pekka Marttinen
2025	—	`conf`	Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization. CDC David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven
2025	J	`jnl`	Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning. CoRR David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven
2025	J	`jnl`	Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs. CoRR Atahan Özer, Çagatay Yildiz
2024	A*	`conf`	Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? EMNLP Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz
2024	J	`jnl`	Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? CoRR Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz
2024	J	`jnl`	Identifying latent state transition in non-linear dynamical systems. CoRR Çaglar Hizli, Çagatay Yildiz, Matthias Bethge, St John, Pekka Marttinen
2024	—	`conf`	Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization. CoLLAs Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2024	J	`jnl`	Investigating Continual Pretraining in Large Language Models: Insights and Implications. CoRR Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis
2023	J	`jnl`	Disentangled Continual Learning: Separating Memory Edits from Model Updates. CoRR Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2023	J	`jnl`	Invariant Neural Ordinary Differential Equations. CoRR Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
2023	A*	`conf`	Latent Neural ODEs with Sparse Bayesian Multiple Shooting. ICLR Valerii Iakovlev, Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
2023	A*	`conf`	Modulated Neural ODEs. NeurIPS Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
2022	—	`—`	Differential Equations for Machine Learning. Çagatay Yildiz
2022	J	`jnl`	Latent Neural ODEs with Sparse Bayesian Multiple Shooting. CoRR Valerii Iakovlev, Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
2022	J	`jnl`	Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs. CoRR Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch
2022	A*	`conf`	Learning interacting dynamical systems with latent Gaussian process ODEs. NeurIPS Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch
2022	A	`conf`	Variational multiple shooting for Bayesian ODEs with Gaussian processes. UAI Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
2021	J	`jnl`	Bayesian inference of ODEs with Gaussian processes. CoRR Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
2021	J	`jnl`	Continuous-Time Model-Based Reinforcement Learning. CoRR Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
2021	A*	`conf`	Continuous-time Model-based Reinforcement Learning. ICML Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
2019	J	`jnl`	ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks. CoRR Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
2019	A*	`conf`	ODE2VAE: Deep generative second order ODEs with Bayesian neural networks. NeurIPS Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
2018	J	`jnl`	A Bayesian change point model for detecting SIP-based DDoS attacks. Digit. Signal Process. Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil
2018	J	`jnl`	A real-time SIP network simulation and monitoring system. SoftwareX Çagatay Yildiz, Baris Kurt, Taha Yusuf Ceritli, Bülent Sankur, Ali Taylan Cemgil
2018	A*	`conf`	Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. ICML Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard
2018	J	`jnl`	Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. CoRR Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil
2018	J	`jnl`	Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching. CoRR Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, Harri Lähdesmäki
2018	—	`conf`	Learning stochastic differential equations with Gaussian Processes without Gradient Matching. MLSP Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, Harri Lähdesmäki
2018	A*	`conf`	Learning unknown ODE models with Gaussian processes. ICML Markus Heinonen, Çagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, Harri Lähdesmäki
2017	—	`conf`	A Bayesian change point model for epileptic seizure detection. SIU Çagatay Yildiz, Haluk O. Bingol, Gulcin Irim-Celik, Berrin Aktekin, Canan Aykut-Bingöl
2016	—	`conf`	A probabilistic SIP network simulation system. SIU Baris Kurt, Çagatay Yildiz, Taha Yusuf Ceritli, Mehmet Yamac, Murat Semerci, Bülent Sankur, Ali Taylan Cemgil
2016	—	`conf`	Attack detection in VOIP networks using Bayesian multiple change-point models. SIU Çagatay Yildiz, Taha Yusuf Ceritli, Baris Kurt, Bülent Sankur, Ali Taylan Cemgil