Paper Wishlist

📚 Papers We’d Like to Discuss

Below is a running list of paper suggestions. Checkboxes help us track what we’ve covered.

• 2014 – Discovering Latent Network Structure
• 2018 – p-Causality
• 2020 – Causal Inference with Spatio-Temporal Data
• 2024 – Towards a Trajectory-powered Foundation Model of Mobility
• 2024 – Causal Discovery from Local Cause Effect Attribution
• 2024 – Uncovering Latent Causal Structures from Spatiotemporal Data
• 2024 – Residual Deep GPs on Manifolds
• 2024 – Get Rid of Task Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
• 2025 – Recurrences Reveal Shared Causal Drivers of Complex Time Series
• 2025 – Causal Reinforcement Learning for Spatiotemporal Point Processes
• 2025 – GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders
• 2024 – GGPR GA (Jiao & Tao)

Want to suggest a paper or lead a session? Drop us an email.