Model selection for relational data factorization. - Caglar Hizli; A. Taylan Cemgil; Serap Kirbiz (SIU, 2019)

Joint Source Separation and Classification Using Variational Autoencoders. - Çaglar Hizli; Ertug Karamatli; Ali Taylan Cemgil; Serap Kirbiz (SIU, 2020)

A Bayesian Allocation Model Based Approach to Mixed Membership Stochastic Blockmodels. - Çaglar Hizli; Serap Kirbiz (Appl. Artif. Intell., 2022)

Joint Non-parametric Point Process model for Treatments and Outcomes: Counterfactual Time-series Prediction Under Policy Interventions. - Çaglar Hizli; S. T. John; Anne Juuti; Tuure Saarinen; Kirsi Pietiläinen; Pekka Marttinen (CoRR, 2022)

Causal Modeling of Policy Interventions From Treatment-Outcome Sequences. - Caglar Hizli; S. T. John; Anne Tuulikki Juuti; Tuure Tapani Saarinen; Kirsi Hannele Pietiläinen; Pekka Marttinen (ICML, 2023)

Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics. - Arina Odnoblyudova; Caglar Hizli; St John; Andrea Cognolato; Anne Juuti; Simo Särkkä; Kirsi Pietiläinen; Pekka Marttinen (ML4H@NeurIPS, 2023)

Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions. - Çaglar Hizli; St John; Anne Juuti; Tuure Saarinen; Kirsi Pietiläinen; Pekka Marttinen (NeurIPS, 2023)

Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions. - Çaglar Hizli; S. T. John; Anne Juuti; Tuure Saarinen; Kirsi Pietiläinen; Pekka Marttinen (CoRR, 2023)

Identifying latent state transition in non-linear dynamical systems. - Çaglar Hizli; Çagatay Yildiz; Matthias Bethge; St John; Pekka Marttinen (CoRR, 2024)

Identifying latent state transitions in non-linear dynamical systems. - Çaglar Hizli; Çagatay Yildiz; Matthias Bethge; S. T. John; Pekka Marttinen (ICLR, 2025)

Object-level Self-Distillation for Vision Pretraining. - Çaglar Hizli; Çagatay Yildiz; Pekka Marttinen (CoRR, 2025)