John Paisley

According to our database, John Paisley authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Nonlinear Kalman Filtering with Reparametrization Gradients.

San Gultekin, Brendan Kitts, Aaron Flores, John Paisley

Proceedings of the 9th International Conference on Frontiers of Signal Processing, 2024

Gaussian Process Neural Additive Models.

Wei Zhang, Brian Barr, John Paisley

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks.

Arunesh Mittal, Kai Yang, Paul Sajda, John Paisley

CoRR, 2023

2022

Understanding Counterfactual Generation using Maximum Mean Discrepancy.

Wei Zhang, Brian Barr, John Paisley

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

An Interpretable Deep Classifier for Counterfactual Generation.

Wei Zhang, Brian Barr, John Paisley

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Deep Metric Representation Learning for Clinical Resting State fMRI.

Arunesh Mittal, John Paisley, Paul Sajda

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Scalable Community Detection in Massive Networks Using Aggregated Relational Data.

Timothy Jones, Yiran Jiang, John Paisley, Tian Zheng

CoRR, 2021