Neil R. Bramley

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Robust Statistical

Hypothesis Testing

Hierarchically Organized

Top Venues

AAAI Spring Symposia

Publications

Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
Constructing Deep Concepts through Shallow Search. AAAI Spring Symposia (2024)
Aba Szollosi, Vlad Grigoras, Tadeg Quillien, Chris Lucas, Neil R. Bramley
How do instructions, examples, and testing shape task representations? CogSci (2023)
Samuel J. Cheyette, Frederick Callaway, Neil R. Bramley, Jonathan D. Nelson, Josh Tenenbaum
People seek easily interpretable information. CogSci (2023)
Stephanie Droop, Neil R. Bramley
Extending counterfactual reasoning models to unconstrained social explanations. CogSci (2023)
Victor Btesh, David A. Lagnado, Maarten Speekenbrink, Neil R. Bramley
Swipe and hold: composing interventions in continuous time causal learning. CogSci (2023)
Tadeg Quillien, Aba Szollosi, Neil R. Bramley, Chris Lucas
Causal inference shapes counterfactual plausibility. CogSci (2023)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas
Designing Optimal Behavioral Experiments Using Machine Learning. CoRR (2023)
Aba Szollosi, Neil R. Bramley
Generating and evaluating hypothesis testing strategies. CogSci (2022)
Bonan Zhao, Neil R. Bramley, Chris Lucas
Powering up causal generalization: A model of human conceptual bootstrapping with adaptor grammars. CogSci (2022)
Tianwei Gong, Neil R. Bramley
Intuitions and Perceptual Constraints on Causal Learning from Dynamics. CogSci (2022)
Nicolas Marchant, Bonan Zhao, Neil R. Bramley, Diego Morales, Sergio E. Chaigneau
Categorizing perceived causal events. CogSci (2022)
Stephanie Droop, Neil R. Bramley
Inferring epistemic intention in simulated physical microworlds. CogSci (2022)
Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
Building Object-based Causal Programs for Human-like Generalization. CoRR (2021)
Jan-Philipp Fränken, Simon Valentin, Chris Lucas, Neil R. Bramley
Know your network: Sensitivity to structure in social learning. CogSci (2021)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas
Bayesian Experimental Design for Intractable Models of Cognition. CogSci (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)
Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado
Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. CoRR (2016)