Probabilistic Numeric Convolutional Neural Networks

Probabilistic Numeric Convolutional Neural Networks

21 October 2020

Roberto Bondesan

Papers citing "Probabilistic Numeric Convolutional Neural Networks"

11 / 11 papers shown

Title
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 21 8 0 08 Jul 2023
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 31 101 0 04 Feb 2022
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 15 27 0 18 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning Roberto Bondesan Max Welling 31 7 0 08 Mar 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 106 183 0 25 Jan 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 89 127 0 11 Mar 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,892 0 06 Jun 2016