Universality and individuality in neural dynamics across large populations of recurrent networks

19 July 2019

Papers citing "Universality and individuality in neural dynamics across large populations of recurrent networks"

23 / 23 papers shown

Title
Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani Josue Nassar Hyungju Jeon Matthew Dowling Il Memming Park 107 1 0 07 Oct 2024
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks Ann Huang Satpreet H. Singh Flavio Martinelli Kanaka Rajan 49 0 0 04 Oct 2024
Formation of Representations in Neural Networks Liu Ziyin Isaac Chuang Tomer Galanti T. Poggio 141 7 0 03 Oct 2024
Back to the Continuous Attractor Ábel Ságodi Guillermo Martín-Sánchez Piotr Sokól Il Memming Park 56 2 0 31 Jul 2024
When predict can also explain: few-shot prediction to select better neural latents Kabir V. Dabholkar Omri Barak BDL 78 0 0 23 May 2024
Gated recurrent units viewed through the lens of continuous time dynamical systems I. Jordan Piotr A. Sokól Il Memming Park 29 57 0 03 Jun 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 124 1,382 0 01 May 2019
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 48 110 0 31 Oct 2018
A mathematical theory of semantic development in deep neural networks Andrew M. Saxe James L. McClelland Surya Ganguli 54 264 0 23 Oct 2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Liang-Chieh Chen Maxwell D. Collins Yukun Zhu George Papandreou Barret Zoph Florian Schroff Hartwig Adam Jonathon Shlens 3DV 44 409 0 11 Sep 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 45 440 0 14 Jun 2018
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization Christopher J. Cueva Xue-Xin Wei 40 215 0 21 Mar 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 78 2,761 0 09 Feb 2018
Regularizing and Optimizing LSTM Language Models Stephen Merity N. Keskar R. Socher 142 1,093 0 07 Aug 2017
Deep Learning Models of the Retinal Response to Natural Scenes Lane T. McIntosh Niru Maheswaranathan Aran Nayebi Surya Ganguli S. Baccus 45 252 0 06 Feb 2017
Capacity and Trainability in Recurrent Neural Networks Jasmine Collins Jascha Narain Sohl-Dickstein David Sussillo 55 205 0 29 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 380 5,362 0 05 Nov 2016
Full-Capacity Unitary Recurrent Neural Networks Scott Wisdom Thomas Powers J. Hershey Jonathan Le Roux L. Atlas 32 292 0 31 Oct 2016
Exponential expressivity in deep neural networks through transient chaos Ben Poole Subhaneil Lahiri M. Raghu Jascha Narain Sohl-Dickstein Surya Ganguli 83 587 0 16 Jun 2016
On the Expressive Power of Deep Neural Networks M. Raghu Ben Poole Jon M. Kleinberg Surya Ganguli Jascha Narain Sohl-Dickstein 54 780 0 16 Jun 2016
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton ODL 60 717 0 03 Apr 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 647 23,235 0 03 Jun 2014
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 134 5,318 0 21 Nov 2012