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Active 3D Shape Reconstruction from Vision and Touch Edward J. Smith 1,2 David Meger 2 Luis Pineda 1 Roberto Calandra 1
Neural Information Processing Systems
Our framework enables the development of the first fully data-driven solutions to active touch on top of learned models for object understanding.
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Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Neural Information Processing Systems
V is constrained to vary along a limited set of dimensions.
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LearningPhysicsConstrainedDynamicsUsing Autoencoders
Neural Information Processing Systems
Recent workhasshown that neural networks can exhibit an inductive bias that is often introduced via designing specific structures[4].
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