Sean Kulinski

According to our database, Sean Kulinski authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models.

Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye

CoRR, 2023

Towards Explaining Distribution Shifts.

Sean Kulinski, David I. Inouye

Proceedings of the International Conference on Machine Learning, 2023

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments.

Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Explaining Image-Based Distribution Shifts.

Sean Kulinski, David I. Inouye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests.

Sean Kulinski, Saurabh Bagchi, David I. Inouye

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020