Showing 1 - 6 results of 6 for search '"toy"', query time: 0.05s Refine Results
  1. 1

    Sculpting by numbers by Rivers, Alec, Adams, Andrew, Durand, Frédo

    Published 2021
    “…The user is free to make the reproduction at a different scale and out of different materials: we turn a toy car into cake. We extend the technique to support replicating a sequence of models to create stop-motion video. …”
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  2. 2

    Estimating the state of epidemics spreading with graph neural networks by Tomy, Abhishek, Razzanelli, Matteo, Di Lauro, Francesco, Rus, Daniela, Della Santina, Cosimo

    Published 2022
    “…The first is a generic homogeneous population, and the second is a toy model of the Boston metropolitan area. Note that no retraining of the architecture is necessary when changing the model.…”
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  3. 3

    Verifiable reinforcement learning via policy extraction by Solar Lezama, Armando, Pu, Yewen, Bastani, Osbert

    Published 2021
    “…We use VIPER to (i) learn a provably robust decision tree policy for a variant of Atari Pong with a symbolic state space, (ii) learn a decision tree policy for a toy game based on Pong that provably never loses, and (iii) learn a provably stable decision tree policy for cart-pole. …”
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  4. 4

    Visual Prediction of Priors for Articulated Object Interaction by Moses, Caris, Noseworthy, Michael, Kaelbling, Leslie P, Lozano-Perez, Tomas, Roy, Nicholas

    Published 2021
    “…Children exhibit this behavior when playing with toys. For example, given a toy with a yellow and blue door, a child will explore with no clear objective, but once they have discovered how to open the yellow door, they will most likely be able to open the blue door much faster. …”
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  5. 5

    Fast state-space methods for inferring dendritic synaptic connectivity by Pakman, Ari, Smith, Carl, Paninski, Liam, Huggins, Jonathan H.

    Published 2016
    “…We illustrate our results with simulations on toy and real neuronal geometries. We consider observation schemes that either scan the dendritic geometry uniformly or measure linear combinations of voltages across several locations with random coefficients. …”
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  6. 6

    Dynamics-aware numerical coarsening for fabrication design by Chen, Desai, Levin, David IW, Matusik, Wojciech, Kaufman, Danny M

    Published 2021
    “…However, whether simulating flipping toys, jumping robots, prosthetics or quickly moving creatures, performing such simulations in the presence of contact, impact and friction is both time consuming and inaccurate. …”
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