Benjamin M. Rottman

VLDB 2026 Research / reviewers in the wild / expert

dblp:116/6574 · DBLP profile ↗

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20ranked-venue papers

5as first author

4since 2021 · last 2024

0000-0002-4718-3970ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 20 · 5 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 20 · 5 first-author · 4 since 2021

Year	Publication	Venue	Position
2024	Can People Accurately Draw Statistical Inferences from Dot Plots? Sara Jaramillo, Benjamin M. Rottman	CogSci	2
2021	Using Causality to Map Difficulties in a Qualitative Physics Problem Sara Jaramillo, Eric Kuo, Timothy Nokes-Malach, Benjamin M. Rottman	CogSci	4
2021	Causal Learning With Interrupted Time Series Benjamin M. Rottman	CogSci	2
2021	Causal Learning With Delays Up to 21 Hours Benjamin M. Rottman	CogSci	2
2020	Causal Learning with Two Causes over Weeks Ciara L. Willett, Benjamin M. Rottman	CogSci	2
2019	Politically Motivated Causal Evaluations of Economic Performance Zachary A. Caddick, Benjamin M. Rottman	CogSci	2
2019	Motivated Reasoning in Causally Ambiguous Explore-Exploit Situations Zachary A. Caddick, Benjamin M. Rottman	CogSci	2
2019	The Accuracy of Causal Learning over 24 Days Ciara L. Willett, Benjamin M. Rottman	CogSci	2
2018	Comparing Mediation Inferences and Explaining Away Inferences on Three Variable Causal Structures Cory Derringer, Benjamin M. Rottman	CogSci	2
2018	Causal Learning from Trending Time-Series Kevin Soo, Benjamin M. Rottman	CogSci	2
2016	Temporal Causal Strength Learning with Multiple Causes Cory Derringer, Benjamin M. Rottman	CogSci	2
2016	Causal Learning With Continuous Variables Over Time Kevin Soo, Benjamin M. Rottman	CogSci	2
2015	Informative Transitions: A Heuristic for Conditionalized Causal Strength Learning Cory Derringer, Benjamin M. Rottman	CogSci	2
2015	How Causal Mechanism and Autocorrelation Beliefs Inform Information Search Benjamin M. Rottman	CogSci	1
2015	Do Markov Violations and Failures of Explaining Away Persist with Experience? Benjamin M. Rottman, Reid Hastie	CogSci	1
2015	Elemental Causal Learning from Transitions Kevin Soo, Benjamin M. Rottman	CogSci	2
2014	Information Search in an Autocorrelated Causal Learning Environment Benjamin M. Rottman	CogSci	1
2014	Learning Causal Direction from Transitions with Continuous and Noisy Variables Kevin Soo, Benjamin M. Rottman	CogSci	2
2011	Which Parts of Scientific Explanations are Most Important? Benjamin M. Rottman, Frank C. Keil	CogSci	1
2011	Learning Causal Direction from Repeated Observations over Time Benjamin M. Rottman, Frank C. Keil	CogSci	1