Resources

We aim to keep this document updated with the latest resources related to DeepSensor and neural processes.

🎤 Recorded talks

Date	Title	Presenter	Length	Video
August 2023	Tackling diverse environmental prediction tasks with neural processes	Tom Andersson	1 hour	🎥 / slides
April 2023	Environmental Sensor Placement with ConvGNPs	Tom Andersson	15 mins	🎥
Jul 2022	Advances in Neural Processes	Richard Turner	1 hour	🎥
May 2023	Autoregressive Conditional Neural Processes	Wessel Bruinsma	5 mins	🎥

📑 Papers

• Tom Andersson et al. Environmental Sensor Placement with Convolutional Gaussian Neural Processes. Environmental Data Science (2023)

• Jonas Scholz et al. Sim2Real with Environmental Neural Processes. NeurIPS Tackling Climate Change with Machine Learning Workshop (2023)

• Wessel Bruinsma et al. Autoregressive Conditional Neural Processes. In Proceedings of the 11th International Conference on Learning Representations, ICLR (2023)

• Anna Vaughan et al. Convolutional conditional neural processes for local climate downscaling. Geoscientific Model Development (2022)

🗒️ Posters

• Paolo Pelucchi et al. Optimal Sensor Placement for Black Carbon AOD with Convolutional Neural Processes iMIRACLI Summer School / FORCeS annual meeting (2023)

📖 Other resources

• Yann Dubois’ Neural Process Family website