Goren Gordon | Massachusetts Institute of Technology (MIT) (original) (raw)
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Papers by Goren Gordon
International Conference on Quantum Information, 2007
ABSTRACT
Conference on Lasers and Electro-Optics 2012, 2012
ABSTRACT We present a direct measurement of the bath coupling spectrum in an ensemble of trapped ... more ABSTRACT We present a direct measurement of the bath coupling spectrum in an ensemble of trapped ultracold atoms, by applying a spectrally narrow-band control field. From the inferred spectrum, we predict the performance of some dynamical decoupling sequences.
Lecture Notes in Computer Science, 2012
In order to perform a reaching movement towards a moving target, an autonomously learning robot m... more In order to perform a reaching movement towards a moving target, an autonomously learning robot must first learn several transformations, such as motion detection, coordinate transformation between the camera and the arm and the inverse model of the arm. A curious reaching robot learns them better by performing the appropriate actions so as to expedite and improve their learning speed and accuracy. We implement a model of hierarchical curiosity loops in an autonomous active learning robot, whereby each loop converges to the optimal action that maximizes the robot's learning of the appropriate transformation. It results in the emergence of unique behaviors that ultimately lead to the capability of reaching.
The Journal of neuroscience : the official journal of the Society for Neuroscience, Jan 17, 2014
When encountering novel environments, animals perform complex yet structured exploratory behavior... more When encountering novel environments, animals perform complex yet structured exploratory behaviors. Despite their typical structuring, the principles underlying exploratory patterns are still not sufficiently understood. Here we analyzed exploratory behavioral data from two modalities: whisking and locomotion in rats and mice. We found that these rodents maximized novelty signal-to-noise ratio during each exploration episode, where novelty is defined as the accumulated information gain. We further found that these rodents maximized novelty during outbound exploration, used novelty-triggered withdrawal-like retreat behavior, and explored the environment in a novelty-descending sequence. We applied a hierarchical curiosity model, which incorporates these principles, to both modalities. We show that the model captures the major components of exploratory behavior in multiple timescales: single excursions, exploratory episodes, and developmental timeline. The model predicted that novelty...
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction - HRI '15, 2015
A new formulation for rough surface boundaries using the Gaussian beam summation (GBS) method is ... more A new formulation for rough surface boundaries using the Gaussian beam summation (GBS) method is introduced. The scattered field statistics are described by GB2GB scattering matrices for the coherent and noncoherent fields. A general GBS formulation for treating complex scenarios with inhomogeneous media and rough surface boundaries is then presented. It benefits from the algorithmical ease and uniform features of the GBS which, unlike plane-wave formulations, is applicable in nonuniform configurations, and unlike ray formulations, is free of spurious singularities. The GB2GB formulation provides a new insights into the phase-space footprints of the stochastic scattering and deterministic propagation processes in these complex scenarios.
International Conference on Quantum Information, 2007
ABSTRACT
Conference on Lasers and Electro-Optics 2012, 2012
ABSTRACT We present a direct measurement of the bath coupling spectrum in an ensemble of trapped ... more ABSTRACT We present a direct measurement of the bath coupling spectrum in an ensemble of trapped ultracold atoms, by applying a spectrally narrow-band control field. From the inferred spectrum, we predict the performance of some dynamical decoupling sequences.
Lecture Notes in Computer Science, 2012
In order to perform a reaching movement towards a moving target, an autonomously learning robot m... more In order to perform a reaching movement towards a moving target, an autonomously learning robot must first learn several transformations, such as motion detection, coordinate transformation between the camera and the arm and the inverse model of the arm. A curious reaching robot learns them better by performing the appropriate actions so as to expedite and improve their learning speed and accuracy. We implement a model of hierarchical curiosity loops in an autonomous active learning robot, whereby each loop converges to the optimal action that maximizes the robot's learning of the appropriate transformation. It results in the emergence of unique behaviors that ultimately lead to the capability of reaching.
The Journal of neuroscience : the official journal of the Society for Neuroscience, Jan 17, 2014
When encountering novel environments, animals perform complex yet structured exploratory behavior... more When encountering novel environments, animals perform complex yet structured exploratory behaviors. Despite their typical structuring, the principles underlying exploratory patterns are still not sufficiently understood. Here we analyzed exploratory behavioral data from two modalities: whisking and locomotion in rats and mice. We found that these rodents maximized novelty signal-to-noise ratio during each exploration episode, where novelty is defined as the accumulated information gain. We further found that these rodents maximized novelty during outbound exploration, used novelty-triggered withdrawal-like retreat behavior, and explored the environment in a novelty-descending sequence. We applied a hierarchical curiosity model, which incorporates these principles, to both modalities. We show that the model captures the major components of exploratory behavior in multiple timescales: single excursions, exploratory episodes, and developmental timeline. The model predicted that novelty...
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction - HRI '15, 2015
A new formulation for rough surface boundaries using the Gaussian beam summation (GBS) method is ... more A new formulation for rough surface boundaries using the Gaussian beam summation (GBS) method is introduced. The scattered field statistics are described by GB2GB scattering matrices for the coherent and noncoherent fields. A general GBS formulation for treating complex scenarios with inhomogeneous media and rough surface boundaries is then presented. It benefits from the algorithmical ease and uniform features of the GBS which, unlike plane-wave formulations, is applicable in nonuniform configurations, and unlike ray formulations, is free of spurious singularities. The GB2GB formulation provides a new insights into the phase-space footprints of the stochastic scattering and deterministic propagation processes in these complex scenarios.