Path Development Network with Finite-dimensional Lie Group Representation

2 April 2022

Papers citing "Path Development Network with Finite-dimensional Lie Group Representation"

39 / 39 papers shown

Title
Riemannian Residual Neural Networks Isay Katsman Eric Chen Sidhanth Holalkere Anna Asch Aaron Lou Ser-Nam Lim Christopher De Sa 66 13 0 16 Oct 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 91 11 0 29 Jul 2023
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 85 57 0 18 Oct 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 70 32 0 10 Mar 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 217 1,832 0 31 Oct 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers Albert Gu Isys Johnson Karan Goel Khaled Kamal Saab Tri Dao Atri Rudra Christopher Ré 130 610 0 26 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn Jan van Gemert 165 83 0 15 Oct 2021
CKConv: Continuous Kernel Convolution For Sequential Data David W. Romero Anna Kuzina Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 71 126 0 04 Feb 2021
Neural Rough Differential Equations for Long Time Series James Morrill C. Salvi Patrick Kidger James Foster Terry Lyons AI4TS 73 133 0 17 Sep 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 134 536 0 17 Aug 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 88 112 0 22 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 160 697 0 18 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 129 483 0 18 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
Trivializations for Gradient-Based Optimization on Manifolds Mario Lezcano Casado 125 128 0 20 Sep 2019
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 93 260 0 08 Jul 2019
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise Xuanqing Liu Tesi Xiao Si Si Qin Cao Sanjiv Kumar Cho-Jui Hsieh 100 138 0 05 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 96 302 0 29 May 2019
Deep Signature Transforms Patrick Kidger Patrick Kidger Imanol Perez Arribas C. Salvi Terry Lyons SLR 157 131 0 21 May 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group Mario Lezcano Casado David Martínez-Rubio 50 200 0 24 Jan 2019
The UEA multivariate time series classification archive, 2018 A. Bagnall Hoang Anh Dau Jason Lines Michael Flynn J. Large A. Bostrom Paul Southam Eamonn Keogh AI4TS 186 429 0 31 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 457 5,176 0 19 Jun 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 64 44 0 22 May 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 103 1,627 0 09 Apr 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 99 4,851 0 04 Mar 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses Trieu H. Trinh Andrew M. Dai Thang Luong Quoc V. Le 94 180 0 01 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 105 979 0 22 Feb 2018
Dilated Recurrent Neural Networks Shiyu Chang Yang Zhang Wei Han Mo Yu Xiaoxiao Guo Wei Tan Xiaodong Cui Michael Witbrock M. Hasegawa-Johnson Thomas S. Huang 92 304 0 05 Oct 2017
A signature-based machine learning model for bipolar disorder and borderline personality disorder Imanol Perez Arribas K. Saunders G. Goodwin Terry Lyons 159 97 0 22 Jul 2017
Stable Architectures for Deep Neural Networks E. Haber Lars Ruthotto 156 735 0 09 May 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 438 1,824 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 815 3,302 0 24 Nov 2016
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition Zecheng Xie Zenghui Sun Lianwen Jin Hao Ni Terry Lyons 85 124 0 09 Oct 2016
A Primer on the Signature Method in Machine Learning I. Chevyrev Andrey Kormilitzin 508 218 0 11 Mar 2016
Unitary Evolution Recurrent Neural Networks Martín Arjovsky Amar Shah Yoshua Bengio ODL 84 771 0 20 Nov 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton ODL 105 722 0 03 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 270 6,791 0 03 Sep 2014
Rough paths, Signatures and the modelling of functions on streams Terry Lyons 219 138 0 18 May 2014