Emergence of grid-like representations by training recurrent neural networks to perform spatial localization

21 March 2018

Papers citing "Emergence of grid-like representations by training recurrent neural networks to perform spatial localization"

22 / 72 papers shown

Title
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
A Hybrid Compact Neural Architecture for Visual Place Recognition Marvin Chancán Luis Hernandez-Nunez A. Narendra A. Barron Michael Milford 25 55 0 15 Oct 2019
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning Marvin Chancán Michael Milford SSL 27 5 0 10 Oct 2019
Cognitive swarming in complex environments with attractor dynamics and oscillatory computing J. Monaco Grace M. Hwang Kevin M. Schultz Kechen Zhang 19 28 0 15 Sep 2019
Universality and individuality in neural dynamics across large populations of recurrent networks Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 24 141 0 19 Jul 2019
Perspective Taking in Deep Reinforcement Learning Agents Aqeel Labash Jaan Aru Tambet Matiisen Ardi Tampuu Raul Vicente LRM 27 11 0 03 Jul 2019
Cross-View Policy Learning for Street Navigation Ang Li Huiyi Hu Piotr Wojciech Mirowski Mehrdad Farajtabar 30 27 0 13 Jun 2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 24 6 0 04 Jun 2019
Imitation Learning of Factored Multi-agent Reactive Models Michael Teng T. Le Adam Scibior Frank Wood DRL 19 1 0 12 Mar 2019
The StreetLearn Environment and Dataset Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson Denis Teplyashin Karl Moritz Hermann ... Matthew Koichi Grimes Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell 3DV 26 64 0 04 Mar 2019
Deep Learning for Cognitive Neuroscience Katherine R. Storrs N. Kriegeskorte NAI AI4CE 33 46 0 04 Mar 2019
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 25 110 0 31 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion Ruiqi Gao Jianwen Xie Song-Chun Zhu Ying Nian Wu SSL 12 40 0 12 Oct 2018
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 14 3 0 02 Oct 2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution Rosanne Liu Joel Lehman Piero Molino F. Such Eric Frank Alexander Sergeev J. Yosinski 27 884 0 09 Jul 2018
Learning models for visual 3D localization with implicit mapping Dan Rosenbaum F. Besse Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami 22 30 0 04 Jul 2018
Generalisation of structural knowledge in the hippocampal-entorhinal system James C. R. Whittington Timothy H. Muller Shirley Mark Caswell Barry Timothy Edward John Behrens 21 53 0 23 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 18 114 0 21 May 2018
Learning Representations of Spatial Displacement through Sensorimotor Prediction Michael Garcia Ortiz Alban Laflaquière SSL DRL 15 5 0 16 May 2018
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 39 316 0 31 Mar 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016