Bryanna Kaufmann

According to our database, Bryanna Kaufmann authored at least 3 papers in 2022.

Collaborative distances:

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

2022

Towards Understanding How Machines Can Learn Causal Overhypotheses.

Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Bryanna Kaufmann, Sandy Han Huang, Jessica B. Hamrick, John F. Canny, Nan Rosemary Ke, Alison Gopnik

CoRR, 2022

Learning Causal Overhypotheses through Exploration in Children and Computational Models.

Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Bryanna Kaufmann, Alison Gopnik

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Learning Causal Overhypotheses through Exploration in Children and Computational Models.

Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022