Steven Kleinegesse

According to our database, Steven Kleinegesse authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

2023

Designing Optimal Behavioral Experiments Using Machine Learning.

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas

CoRR, 2023

2022

Domain Knowledge in A*-Based Causal Discovery.

Steven Kleinegesse, Andrew R. Lawrence, Hana Chockler

CoRR, 2022

Statistical applications of contrastive learning.

Michael U. Gutmann, Steven Kleinegesse, Benjamin Rhodes

CoRR, 2022

2021

Bayesian Optimal Experimental Design for Simulator Models of Cognition.

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas

CoRR, 2021

Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds.

Steven Kleinegesse, Michael U. Gutmann

CoRR, 2021

Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods.

Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Thomas Rainforth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bayesian Experimental Design for Intractable Models of Cognition.

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Pulse shape discrimination and exploration of scintillation signals using convolutional neural networks.

Jack Griffiths, Steven Kleinegesse, D. Saunders, R. Taylor, Antonin Vacheret

Mach. Learn. Sci. Technol., 2020

Sequential Bayesian Experimental Design for Implicit Models via Mutual Information.

Steven Kleinegesse, Christopher C. Drovandi, Michael U. Gutmann

CoRR, 2020

Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation.

Steven Kleinegesse, Michael U. Gutmann

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Efficient Bayesian Experimental Design for Implicit Models.

Steven Kleinegesse, Michael U. Gutmann

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019