ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.03398
  4. Cited By
Towards a General Purpose CNN for Long Range Dependencies in $N$D

Towards a General Purpose CNN for Long Range Dependencies in NNND

7 June 2022
David W. Romero
David M. Knigge
Albert Gu
Erik J. Bekkers
E. Gavves
Jakub M. Tomczak
Mark Hoogendoorn
ArXivPDFHTML

Papers citing "Towards a General Purpose CNN for Long Range Dependencies in $N$D"

5 / 5 papers shown
Title
A Continuous Convolutional Trainable Filter for Modelling Unstructured
  Data
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data
Dario Coscia
L. Meneghetti
N. Demo
G. Stabile
G. Rozza
16
8
0
24 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
61
119
0
30 Sep 2022
Mega: Moving Average Equipped Gated Attention
Mega: Moving Average Equipped Gated Attention
Xuezhe Ma
Chunting Zhou
Xiang Kong
Junxian He
Liangke Gui
Graham Neubig
Jonathan May
Luke Zettlemoyer
33
183
0
21 Sep 2022
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel
  Sizes
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
80
82
0
15 Oct 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
1