Steven Kleinegesse

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Mutual Information

Experimental Design

Conditional Independence

Top Venues

Mach. Learn. Sci. Technol.

Publications

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas
Designing Optimal Behavioral Experiments Using Machine Learning. CoRR (2023)
Michael U. Gutmann, Steven Kleinegesse, Benjamin Rhodes
Statistical applications of contrastive learning. CoRR (2022)
Steven Kleinegesse, Andrew R. Lawrence, Hana Chockler
Domain Knowledge in A*-Based Causal Discovery. CoRR (2022)
Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Thomas Rainforth
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. NeurIPS (2021)
Steven Kleinegesse, Michael U. Gutmann
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds. CoRR (2021)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas
Bayesian Experimental Design for Intractable Models of Cognition. CogSci (2021)
Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Tom Rainforth
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. CoRR (2021)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas
Bayesian Optimal Experimental Design for Simulator Models of Cognition. CoRR (2021)
Steven Kleinegesse, Christopher C. Drovandi, Michael U. Gutmann
Sequential Bayesian Experimental Design for Implicit Models via Mutual Information. CoRR (2020)
Steven Kleinegesse, Michael U. Gutmann
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation. CoRR (2020)
J. Griffiths, Steven Kleinegesse, D. Saunders, R. Taylor, Antonin Vacheret
Pulse shape discrimination and exploration of scintillation signals using convolutional neural networks. Mach. Learn. Sci. Technol. 1 (4) (2020)
Steven Kleinegesse, Michael U. Gutmann
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation. ICML (2020)
Steven Kleinegesse, Michael U. Gutmann
Efficient Bayesian Experimental Design for Implicit Models. AISTATS (2019)
Steven Kleinegesse, Michael U. Gutmann
Efficient Bayesian Experimental Design for Implicit Models. CoRR (2018)