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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
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
    OCL
ArXivPDFHTML

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

9 / 9 papers shown
Title
Parallelized Spatiotemporal Binding
Parallelized Spatiotemporal Binding
Gautam Singh
Yue Wang
Jiawei Yang
Boris Ivanovic
Sungjin Ahn
Marco Pavone
Tong Che
48
1
0
26 Feb 2024
Binding Dynamics in Rotating Features
Binding Dynamics in Rotating Features
Sindy Lowe
Francesco Locatello
Max Welling
OCL
30
2
0
08 Feb 2024
Neural Language of Thought Models
Neural Language of Thought Models
Yi-Fu Wu
Minseung Lee
Sungjin Ahn
MLLM
VLM
63
6
0
02 Feb 2024
Inferring Relational Potentials in Interacting Systems
Inferring Relational Potentials in Interacting Systems
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
Octavia Camps
J. Tenenbaum
Mario Sznaier
34
4
0
23 Oct 2023
Rotating Features for Object Discovery
Rotating Features for Object Discovery
Sindy Lowe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
30
21
0
01 Jun 2023
Object-Centric Slot Diffusion
Object-Centric Slot Diffusion
Jindong Jiang
Fei Deng
Gautam Singh
S. Ahn
DiffM
BDL
OCL
25
57
0
20 Mar 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
57
58
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
61
15
0
30 Jan 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
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