| ODE2VAE: Deep generative second order ODEs with Bayesian neural networks C Yildiz, M Heinonen, H Lahdesmaki Advances in Neural Information Processing Systems 32, 2019 | 122 | 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 | 56 | 2018 |
| 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 | 40 | 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 | 26 | 2018 |
| 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 | 25* | 2018 |
| Continuous-time model-based reinforcement learning C Yildiz, M Heinonen, H Lähdesmäki International Conference on Machine Learning, 12009-12018, 2021 | 22 | 2021 |
| 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 | 11* | 2022 |
| A real-time SIP network simulation and monitoring system Ç Yıldız, B Kurt, TY Ceritli, B Sankur, AT Cemgil SoftwareX 8, 21-25, 2018 | 6 | 2018 |
| 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 | 5 | 2016 |
| 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 | 5 | 2016 |
| Learning interacting dynamical systems with latent Gaussian process ODEs C Yildiz, M Kandemir, B Rakitsch Advances in Neural Information Processing Systems, 2022 | 3* | 2022 |
| A Nonparametric Spatio-temporal SDE Model C Yildiz, M Heinonen, H Lähdesmäki | 1 | 2018 |
| Invariant Neural Ordinary Differential Equations IA Auzina, Ç Yıldız, S Magliacane, M Bethge, E Gavves arXiv preprint arXiv:2302.13262, 2023 | | 2023 |
| Latent Neural ODEs with Sparse Bayesian Multiple Shooting V Iakovlev, C Yildiz, M Heinonen, H Lähdesmäki arXiv preprint arXiv:2210.03466, 2022 | | 2022 |
| Differential Equations for Machine Learning Ç Yıldız Aalto University, 2022 | | 2022 |
| A Bayesian change point model for epileptic seizure detection Ç Yıldız, HO Bingöl, G İrim-Çelik, B Aktekin, C Aykut-Bingöl 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | | 2017 |
| Latent GP-ODEs with Informative Priors IA Auzina, C Yildiz, E Gavves A causal view on dynamical systems, NeurIPS 2022 workshop, 0 | | |
Markus HeinonenAcademy research Fellow, Aalto UniversityVerified email at aalto.fi
