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Robust and Controllable Object-Centric Learning through Energy-based
  Models

Robust and Controllable Object-Centric Learning through Energy-based Models

11 October 2022
Ruixiang Zhang
Tong Che
B. Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
    OCL
ArXivPDFHTML

Papers citing "Robust and Controllable Object-Centric Learning through Energy-based Models"

4 / 4 papers shown
Title
Inferring Relational Potentials in Interacting Systems
Inferring Relational Potentials in Interacting Systems
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
M. Sznaier
J. Tenenbaum
Octavia Camps
12
4
0
23 Oct 2023
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
44
59
0
02 Jul 2022
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural Networks
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Daniel Cremers
Laura Leal-Taixé
Ian Reid
SSL
46
15
0
30 Jan 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
130
3,260
0
09 Jun 2012
1