Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems

1 November 2021

Papers citing "Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems"

16 / 16 papers shown

Title
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez Andrew Warrington Jimmy T.H. Smith Scott W. Linderman 182 10 0 17 Jan 2025
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu D. Zoltowski Aditya Nair David Anderson Lea Duncker Scott W. Linderman 69 3 0 19 Jul 2024
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 451 2,384 0 18 Oct 2020
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 29 13 0 04 Sep 2020
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan David Sussillo 39 22 0 17 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 298 10,591 0 17 Feb 2020
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems Yiwei Fu S. Saab A. Ray Michael Hauser AI4CE 39 8 0 31 Oct 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 59 145 0 19 Jul 2019
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 55 81 0 25 Jun 2019
Gated recurrent units viewed through the lens of continuous time dynamical systems I. Jordan Piotr A. Sokól Il Memming Park 39 58 0 03 Jun 2019
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI G. Koppe Hazem Toutounji P. Kirsch S. Lis Daniel Durstewitz MedIm 47 76 0 19 Feb 2019
Learning interpretable continuous-time models of latent stochastic dynamical systems Lea Duncker G. Bohner Julien Boussard M. Sahani 34 77 0 12 Feb 2019
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling Josue Nassar Scott W. Linderman M. Bugallo Il-Su Park AI4CE 28 73 0 29 Nov 2018
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization Christopher J. Cueva Xue-Xin Wei 43 216 0 21 Mar 2018
Convolutional Recurrent Neural Networks for Music Classification Keunwoo Choi Gyorgy Fazekas Mark Sandler Kyunghyun Cho 303 476 0 14 Sep 2016
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 808 23,310 0 03 Jun 2014