Riemannian Residual Neural Networks

16 October 2023

Ser-Nam Lim

Papers citing "Riemannian Residual Neural Networks"

21 / 21 papers shown

Title
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 111 3 0 25 Jan 2024
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 58 17 0 26 Oct 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 75 60 0 18 Aug 2021
Equivariant Manifold Flows Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 49 25 0 19 Jul 2021
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 96 126 0 18 Jun 2020
Neural Manifold Ordinary Differential Equations Aaron Lou Derek Lim Isay Katsman Leo Huang Qingxuan Jiang Ser-Nam Lim Christopher De Sa BDL AI4CE 74 81 0 18 Jun 2020
Neural Ordinary Differential Equations on Manifolds Luca Falorsi Patrick Forré BDL AI4CE 53 33 0 11 Jun 2020
Differentiating through the Fréchet Mean Aaron Lou Isay Katsman Qingxuan Jiang Serge J. Belongie Ser-Nam Lim Christopher De Sa DRL 114 64 0 29 Feb 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 84 157 0 06 Feb 2020
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 113 651 0 28 Oct 2019
Riemannian batch normalization for SPD neural networks Daniel A. Brooks Olivier Schwander F. Barbaresco J. Schneider Matthieu Cord 57 93 0 03 Sep 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,182 0 19 Feb 2019
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 88 325 0 13 Nov 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 429 5,156 0 19 Jun 2018
Hyperbolic Attention Networks Çağlar Gülçehre Misha Denil Mateusz Malinowski Ali Razavi Razvan Pascanu ... Peter W. Battaglia V. Bapst David Raposo Adam Santoro Nando de Freitas 171 224 0 24 May 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 58 605 0 23 May 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 124 491 0 12 Apr 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,225 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 93 1,310 0 22 May 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016