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From just a glance, humans can make rich predictions about the future state of a wide range of physical systems.
Learning structural descriptions from examples
Patrick H Winston · 1970
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Procedures as a representation for data in a computer program for understanding natural language
Terry Winograd · 1971
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Long short-term memory
Sepp Hochreiter and Jurgen Schmidhuber · 1997
Earlier work this paper cites.
Neuroanimator: Fast neural network emulation and control of physics-based models
Radek Grzeszczuk, Demetri Terzopoulos, and Geoffrey Hinton · 1998
Earlier work this paper cites.
Computing the physical parameters of rigid-body motion from video
Kiran Bhat, Steven Seitz, Jovan Popović, and Pradeep Khosla · 2002
Earlier work this paper cites.
Core knowledge
Elizabeth S Spelke and Katherine D Kinzler · 2007
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Estimating contact dynamics
Marcus A Brubaker, Leonid Sigal, and David J Fleet · 2009
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Noisy newtons: Unifying process and dependency accounts of causal attribution
Tobias Gerstenberg, Noah Goodman, David A Lagnado, and Joshua B Tenenbaum · 2012
Earlier work this paper cites.
Simulation as an engine of physical scene understanding
Peter W Battaglia, Jessica B Hamrick, and Joshua B Tenenbaum · 2013
Earlier work this paper cites.
From counterfactual simulation to causal judgment
Tobias Gerstenberg, Noah Goodman, David A Lagnado, and Joshua B Tenenbaum · 2014
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Learning visual predictive models of physics for playing billiards
Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, and Jitendra Malik · 2015
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Data-driven fluid simulations using regression forests
Lubor Ladicky, SoHyeon Jeong, Barbara Solenthaler, Marc Pollefeys, Markus Gross, et al · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Galileo: Perceiving physical object properties by integrating a physics engine with deep learning
Jiajun Wu, Ilker Yildirim, Joseph J Lim, Bill Freeman, and Josh Tenenbaum · 2015
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Learning to poke by poking: Experiential learning of intuitive physics
Inferring mass in complex scenes by mental simulation
Jessica B Hamrick, Peter W Battaglia, Thomas L Griffiths, and Joshua B Tenenbaum · 2016
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Learning physical intuition of block towers by example
Adam Lerer, Sam Gross, and Rob Fergus · 2016
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To fall or not to fall: A visual approach to physical stability prediction
Wenbin Li, Seyedmajid Azimi, Aleš Leonardis, and Mario Fritz · 2016
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Newtonian scene understanding: Unfolding the dynamics of objects in static images
Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, and Ali Farhadi · 2016
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“what happens if…” learning to predict the effect of forces in images
Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, and Ali Farhadi · 2016
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Pulkit Agrawal, Ashvin Nair, Pieter Abbeel, Jitendra Malik, and Sergey Levine · 2016
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Interaction networks for learning about objects, relations and physics
Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, et al · 2016
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Long-term image boundary extrapolation
Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, and Mario Fritz · 2016
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A compositional object-based approach to learning physical dynamics
Michael B Chang, Tomer Ullman, Antonio Torralba, and Joshua B Tenenbaum · 2016
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Label-free supervision of neural networks with physics and domain knowledge
Russell Stewart and Stefano Ermon · 2016
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Physics 101: Learning physical object properties from unlabeled videos
Jiajun Wu, Joseph J Lim, Hongyi Zhang, Joshua B Tenenbaum, and William T Freeman13 · 2016
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Learning a physical long-term predictor
Sebastien Ehrhardt, Aron Monszpart, Niloy J Mitra, and Andrea Vedaldi · 2017
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