| Ode2vae: Deep generative second order odes with bayesian neural networks C Yildiz, M Heinonen, H Lahdesmaki Advances in Neural Information Processing Systems 32, 2019 | 209 | 2019 |
| Learning unknown ODE models with Gaussian processes M Heinonen, C Yildiz, H Mannerström, J Intosalmi, H Lähdesmäki International conference on machine learning, 1959-1968, 2018 | 95 | 2018 |
| Continuous-time model-based reinforcement learning C Yildiz, M Heinonen, H Lähdesmäki International Conference on Machine Learning, 12009-12018, 2021 | 66 | 2021 |
| A Bayesian change point model for detecting SIP-based DDoS attacks B Kurt, Ç Yıldız, TY Ceritli, B Sankur, AT Cemgil Digital Signal Processing 77, 48-62, 2018 | 45 | 2018 |
| Learning stochastic differential equations with gaussian processes without gradient matching C Yildiz, M Heinonen, J Intosalmi, H Mannerstrom, H Lahdesmaki 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 41 | 2018 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes P Hegde, Ç Yıldız, H Lähdesmäki, S Kaski, M Heinonen Uncertainty in Artificial Intelligence, 790-799, 2022 | 29* | 2022 |
| Asynchronous stochastic quasi-Newton MCMC for non-convex optimization U Simsekli, C Yildiz, TH Nguyen, T Cemgil, G Richard International Conference on Machine Learning, 4674-4683, 2018 | 29* | 2018 |
| Investigating Continual Pretraining in Large Language Models: Insights and Implications Ç Yıldız, NK Ravichandran, P Punia, M Bethge, B Ermis arXiv preprint arXiv:2402.17400, 2024 | 20 | 2024 |
| Learning interacting dynamical systems with latent gaussian process odes Ç Yıldız, M Kandemir, B Rakitsch Advances in Neural Information Processing Systems 35, 9188-9200, 2022 | 15 | 2022 |
| Latent neural ODEs with sparse bayesian multiple shooting V Iakovlev, C Yildiz, M Heinonen, H Lähdesmäki International Conference on Learning Representations 2023, 2023 | 13 | 2023 |
| A probabilistic SIP network simulation system B Kurt, Ç Yıldız, TY Ceritli, M Yamaç, M Semerci, B Sankur, AT Cemgil 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 7 | 2016 |
| Modulated Neural ODEs IA Auzina, C Yildiz, S Magliacane, M Bethge, E Gavves Advances in Neural Information Processing Systems 36, 2023 | 6* | 2023 |
| Attack detection in VOIP networks using Bayesian multiple change-point models Ç Yıldız, TY Ceritli, B Kurt, B Sankur, AT Cemgil 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 6 | 2016 |
| A real-time SIP network simulation and monitoring system Ç Yıldız, B Kurt, TY Ceritli, B Sankur, AT Cemgil SoftwareX 8, 21-25, 2018 | 5 | 2018 |
| Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization S Dziadzio, Ç Yıldız, G van de Ven, T Tuytelaars, T Trzciński, M Bethge | 1 | 2023 |
| Latent GP-ODEs with informative priors IA Auzina, C Yildiz, E Gavves A causal view on dynamical systems, NeurIPS 2022 workshop, 2022 | 1 | 2022 |
| A Nonparametric Spatio-temporal SDE Model C Yildiz, M Heinonen, H Lähdesmäki | 1 | 2018 |
| Change Point Detection for Monitoring SIP Networks Ç Yıldız, M Semerci, TY Ceritli, B Kurt, AT Cemgil, B Sankur European Conference on Networks and Communications, 2016 | 1 | 2016 |
| A dictionary learning based anomaly detection method for network traffic data TY Ceritli, B EDU, B Kurt, C Yıldız, B ülent Sankur, AT Cemgil Proc. Int. Conf. Mach. Learn. Workshop Anomaly Detect., 2016 | 1 | 2016 |
| Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? F Öncel, M Bethge, B Ermis, M Ravanelli, C Subakan, Ç Yıldız arXiv preprint arXiv:2410.05581, 2024 | | 2024 |
Markus HeinonenAcademy research Fellow, Aalto UniversityBestätigte E-Mail-Adresse bei aalto.fi
