ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.13494
  4. Cited By
On the difficulty of learning and predicting the long-term dynamics of
  bouncing objects

On the difficulty of learning and predicting the long-term dynamics of bouncing objects

31 July 2019
Alberto Cenzato
Alberto Testolin
Marco Zorzi
ArXiv (abs)PDFHTML

Papers citing "On the difficulty of learning and predicting the long-term dynamics of bouncing objects"

3 / 3 papers shown
FitVid: Overfitting in Pixel-Level Video Prediction
FitVid: Overfitting in Pixel-Level Video Prediction
Mohammad Babaeizadeh
M. Saffar
Suraj Nair
Sergey Levine
Chelsea Finn
D. Erhan
VLM
303
102
0
24 Jun 2021
S2RMs: Spatially Structured Recurrent Modules
S2RMs: Spatially Structured Recurrent ModulesInternational Conference on Learning Representations (ICLR), 2020
Nasim Rahaman
Anirudh Goyal
Muhammad Waleed Gondal
M. Wuthrich
Stefan Bauer
Yash Sharma
Yoshua Bengio
Bernhard Schölkopf
196
15
0
13 Jul 2020
Learning distant cause and effect using only local and immediate credit
  assignment
Learning distant cause and effect using only local and immediate credit assignmentIEEE International Joint Conference on Neural Network (IJCNN), 2019
D. Rawlinson
Abdelrahman Ahmed
Gideon Kowadlo
179
3
0
28 May 2019
1
Page 1 of 1