Connor T. Jerzak

According to our database, Connor T. Jerzak authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can Large Language Models (or Humans) Distill Text?

Nicolas Audinet de Pieuchon, Adel Daoud, Connor Thomas Jerzak, Moa Johansson, Richard Johansson

CoRR, 2024

2023

CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images.

Connor T. Jerzak, Adel Daoud

CoRR, 2023

Linking Datasets on Organizations Using Half A Billion Open Collaborated Records.

Brian Libgober, Connor T. Jerzak

CoRR, 2023

Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities.

Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud

CoRR, 2023

Image-based Treatment Effect Heterogeneity.

Connor Thomas Jerzak, Fredrik Daniel Johansson, Adel Daoud

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa.

Connor T. Jerzak, Fredrik Johansson, Adel Daoud

CoRR, 2022

Conceptualizing Treatment Leakage in Text-based Causal Inference.

Adel Daoud, Connor T. Jerzak, Richard Johansson

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022