Tomer Ullman
Tomer Ullman
Assistant Professor, Harvard
Verified email at - Homepage
Cited by
Cited by
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and brain sciences 40, e253, 2017
A compositional object-based approach to learning physical dynamics
MB Chang, T Ullman, A Torralba, JB Tenenbaum
arXiv preprint arXiv:1612.00341, 2016
Learning a theory of causality.
ND Goodman, TD Ullman, JB Tenenbaum
Psychological review 118 (1), 110, 2011
The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model
J Kiley Hamlin, T Ullman, J Tenenbaum, N Goodman, C Baker
Developmental science 16 (2), 209-226, 2013
Mind games: Game engines as an architecture for intuitive physics
TD Ullman, E Spelke, P Battaglia, JB Tenenbaum
Trends in cognitive sciences 21 (9), 649-665, 2017
Ten-month-old infants infer the value of goals from the costs of actions
S Liu, TD Ullman, JB Tenenbaum, ES Spelke
Science 358 (6366), 1038-1041, 2017
Help or hinder: Bayesian models of social goal inference
T Ullman, C Baker, O Macindoe, O Evans, N Goodman, J Tenenbaum
Advances in neural information processing systems 22, 2009
Theory learning as stochastic search in the language of thought
TD Ullman, ND Goodman, JB Tenenbaum
Cognitive Development 27 (4), 455-480, 2012
Bayesian models of conceptual development: Learning as building models of the world
TD Ullman, JB Tenenbaum
Annual Review of Developmental Psychology 2, 533-558, 2020
Large language models fail on trivial alterations to theory-of-mind tasks
T Ullman
arXiv preprint arXiv:2302.08399, 2023
Modeling expectation violation in intuitive physics with coarse probabilistic object representations
K Smith, L Mei, S Yao, J Wu, E Spelke, J Tenenbaum, T Ullman
Advances in neural information processing systems 32, 2019
Lucky or clever? From expectations to responsibility judgments
T Gerstenberg, TD Ullman, J Nagel, M Kleiman-Weiner, DA Lagnado, ...
Cognition 177, 122-141, 2018
Learning physical parameters from dynamic scenes
TD Ullman, A Stuhlmüller, ND Goodman, JB Tenenbaum
Cognitive psychology 104, 57-82, 2018
Agent: A benchmark for core psychological reasoning
T Shu, A Bhandwaldar, C Gan, K Smith, S Liu, D Gutfreund, E Spelke, ...
International Conference on Machine Learning, 9614-9625, 2021
Modal prospection
J McCoy, L Paul, T Ullman
Metaphysics and cognitive science, 235-67, 2019
Learning physical theories from dynamical scenes
T Ullman, A Stuhlmuller, N Goodman, J Tenenbaum
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
Theory acquisition as stochastic search
TD Ullman, ND Goodman, JB Tenenbaum
Cognitive Science Society, Inc., 2010
Sticking to the evidence? A behavioral and computational case study of micro‐theory change in the domain of magnetism
E Bonawitz, TD Ullman, S Bridgers, A Gopnik, JB Tenenbaum
Cognitive science 43 (8), e12765, 2019
Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension.
TD Ullman, MH Siegel, J Tenenbaum, S Gershman
CogSci, 2016
Testing relational understanding in text-guided image generation
C Conwell, T Ullman
arXiv preprint arXiv:2208.00005, 2022
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