activity
20222025
most citedTemporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Object-level Self-Distillation for Vision Pretraining

Çağlar Hızlı, Çağatay Yıldız, Pekka Marttinen

State-of-the-art vision pretraining methods rely on image-level self-distillation from object-centric datasets such as ImageNet, implicitly assuming each image contains a single ob…

cs.LG2024

Identifying latent state transition in non-linear dynamical systems

Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge +2

This work aims to improve generalization and interpretability of dynamical systems by recovering the underlying lower-dimensional latent states and their time evolutions. Previous…

stat.ML2023

Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics

Arina Odnoblyudova, Çağlar Hizli, ST John +5

In biomedical applications it is often necessary to estimate a physiological response to a treatment consisting of multiple components, and learn the separate effects of the compon…

cs.LG2023★ 1 cited

Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions

Çağlar Hızlı, ST John, Anne Juuti +3

Deciding on an appropriate intervention requires a causal model of a treatment, the outcome, and potential mediators. Causal mediation analysis lets us distinguish between direct a…

cs.LG2022

Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes

Çağlar Hızlı, ST John, Anne Juuti +3

A treatment policy defines when and what treatments are applied to affect some outcome of interest. Data-driven decision-making requires the ability to predict what happens if a po…