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
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
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
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
Large language models fail on trivial alterations to theory-of-mind tasks
T Ullman
arXiv preprint arXiv:2302.08399, 2023
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 (1), 533-558, 2020
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
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
Learning physical parameters from dynamic scenes
TD Ullman, A Stuhlmüller, ND Goodman, JB Tenenbaum
Cognitive psychology 104, 57-82, 2018
Testing relational understanding in text-guided image generation
C Conwell, T Ullman
arXiv preprint arXiv:2208.00005, 2022
Modal prospection
J McCoy, L Paul, T Ullman
Metaphysics and cognitive science, 235-67, 2019
Rethink reporting of evaluation results in AI
R Burnell, W Schellaert, J Burden, TD Ullman, F Martinez-Plumed, ...
Science 380 (6641), 136-138, 2023
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
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
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