Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2111.03042
Cited By
Unsupervised Learning of Compositional Energy Concepts
Neural Information Processing Systems (NeurIPS), 2021
4 November 2021
Yilun Du
Shuang Li
Yash Sharma
J. Tenenbaum
Igor Mordatch
CoGe
OCL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Unsupervised Learning of Compositional Energy Concepts"
50 / 61 papers shown
Disentangled Representation Learning via Modular Compositional Bias
Whie Jung
Dong Hoon Lee
Seunghoon Hong
DRL
OCL
CoGe
763
0
0
24 Oct 2025
Compositional Scene Understanding through Inverse Generative Modeling
Yanbo Wang
Justin Dauwels
Yilun Du
OCL
587
1
0
27 May 2025
Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance
Lianhao Yin
O. Meireles
Guy Rosman
Daniela Rus
193
0
0
16 May 2025
Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models
Zhihua Tian
Sirun Nan
Ming Xu
Shengfang Zhai
Wenjie Qu
Enchao Gong
Kui Ren
Ruoxi Jia
DiffM
432
4
0
12 Mar 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
International Conference on Learning Representations (ICLR), 2024
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
Xuelong Li
668
28
0
03 Jan 2025
Few-Shot Task Learning through Inverse Generative Modeling
Neural Information Processing Systems (NeurIPS), 2024
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
484
4
0
07 Nov 2024
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Youngjun Jun
Jiwoo Park
Kyobin Choo
Tae Eun Choi
Seong Jae Hwang
CoGe
352
2
0
31 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
IEEE International Conference on Robotics and Automation (ICRA), 2024
Christopher P. Diehl
Peter Karkus
Sushant Veer
Marco Pavone
Torsten Bertram
1.0K
3
0
13 Oct 2024
Swing-by Dynamics in Concept Learning and Compositional Generalization
International Conference on Learning Representations (ICLR), 2024
Yongyi Yang
Core Francisco Park
Ekdeep Singh Lubana
Maya Okawa
Wei Hu
Hidenori Tanaka
CoGe
DiffM
294
0
0
10 Oct 2024
Compositional Risk Minimization
Divyat Mahajan
Mohammad Pezeshki
Charles Arnal
Alexia Jolicoeur-Martineau
Kartik Ahuja
Pascal Vincent
472
9
0
08 Oct 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors
Asian Conference on Computer Vision (ACCV), 2024
Sangwon Kim
Dasom Ahn
B. Ko
In-su Jang
Kwang-Ju Kim
296
6
0
22 Sep 2024
SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance Fields
European Conference on Computer Vision (ECCV), 2024
Yu Liu
Baoxiong Jia
Yixin Chen
Siyuan Huang
OCL
325
7
0
13 Aug 2024
Compositional Image Decomposition with Diffusion Models
Jocelin Su
Nan Liu
Yanbo Wang
Joshua B. Tenenbaum
Yilun Du
CoGe
253
11
0
27 Jun 2024
Cognitively Inspired Energy-Based World Models
Alexi Gladstone
Ganesh Nanduru
Md. Mofijul Islam
Vasu Sharma
Jundong Li
Tariq Iqbal
217
0
0
13 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Kun Zhang
403
12
0
01 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Justin Deschenaux
Igor Krawczuk
Grigorios G. Chrysos
Volkan Cevher
DiffM
390
4
0
29 May 2024
RoboDreamer: Learning Compositional World Models for Robot Imagination
Siyuan Zhou
Yilun Du
Jiaben Chen
Yandong Li
Dit-Yan Yeung
Chuang Gan
VGen
LM&Ro
289
99
0
18 Apr 2024
Bridging Associative Memory and Probabilistic Modeling
Rylan Schaeffer
Nika Zahedi
Mikail Khona
Dhruv Pai
Sang T. Truong
...
Sarthak Chandra
Andres Carranza
Ila Rani Fiete
Andrey Gromov
Oluwasanmi Koyejo
DiffM
311
4
0
15 Feb 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang
Cuiling Lan
Yan Lu
Nanning Zheng
DiffM
367
20
0
15 Feb 2024
Binding Dynamics in Rotating Features
Sindy Löwe
Francesco Locatello
Max Welling
OCL
202
4
0
08 Feb 2024
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
Qiyao Liang
Ziming Liu
Ila Fiete
DiffM
313
2
0
05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du
L. Kaelbling
PINN
GAN
408
41
0
02 Feb 2024
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
Mengyao Lyu
Yuhong Yang
Haiwen Hong
Hui Chen
Xuan Jin
Yuan He
Hui Xue
Jungong Han
Guiguang Ding
DiffM
314
109
0
26 Dec 2023
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images
International Journal of Computer Vision (IJCV), 2023
Yafei Yang
Bo Yang
OCL
192
4
0
08 Dec 2023
Inferring Relational Potentials in Interacting Systems
International Conference on Machine Learning (ICML), 2023
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
Octavia Camps
J. Tenenbaum
Mario Sznaier
288
6
0
23 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Neural Information Processing Systems (NeurIPS), 2023
Maya Okawa
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
CoGe
DiffM
497
83
0
13 Oct 2023
Self-supervised Object-Centric Learning for Videos
Neural Information Processing Systems (NeurIPS), 2023
Görkay Aydemir
Weidi Xie
Fatma Guney
OCL
VOS
SSL
277
40
0
10 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning
Xiao Zhang
Michael Maire
421
2
0
30 Sep 2023
Compositional Sculpting of Iterative Generative Processes
Neural Information Processing Systems (NeurIPS), 2023
Yixuan Wang
Sebastiaan De Peuter
Mingtong Zhang
Vikas Garg
Samuel Kaski
Tommi Jaakkola
DiffM
383
20
0
28 Sep 2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuwei Bao
B. Lattimer
J. Chai
CLL
278
1
0
05 Jul 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
IEEE International Conference on Computer Vision (ICCV), 2023
Nan Liu
Yilun Du
Shuang Li
J. Tenenbaum
Antonio Torralba
DiffM
CoGe
264
33
0
08 Jun 2023
Probabilistic Adaptation of Text-to-Video Models
Mengjiao Yang
Yilun Du
Bo Dai
Dale Schuurmans
J. Tenenbaum
Pieter Abbeel
VGen
DiffM
265
31
0
02 Jun 2023
StyleDrop: Text-to-Image Generation in Any Style
Kihyuk Sohn
Nataniel Ruiz
Kimin Lee
Daniel Castro Chin
Irina Blok
...
Yuanzhen Li
Yuan Hao
Irfan Essa
Michael Rubinstein
Dilip Krishnan
242
205
0
01 Jun 2023
Rotating Features for Object Discovery
Neural Information Processing Systems (NeurIPS), 2023
Sindy Löwe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
392
32
0
01 Jun 2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization
Tao Yang
Yuwang Wang
Cuiling Lan
Yan Lu
Nanning Zheng
OCL
CoGe
DRL
229
7
0
29 May 2023
Im-Promptu: In-Context Composition from Image Prompts
Neural Information Processing Systems (NeurIPS), 2023
Bhishma Dedhia
Michael Chang
Jake C. Snell
Thomas Griffiths
N. Jha
LRM
MLLM
369
4
0
26 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
International Conference on Machine Learning (ICML), 2023
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Thome
OODD
459
13
0
26 May 2023
Object-Centric Slot Diffusion
Neural Information Processing Systems (NeurIPS), 2023
Jindong Jiang
Fei Deng
Gautam Singh
S. Ahn
DiffM
BDL
OCL
624
77
0
20 Mar 2023
Erasing Concepts from Diffusion Models
IEEE International Conference on Computer Vision (ICCV), 2023
Rohit Gandikota
Joanna Materzyñska
Jaden Fiotto-Kaufman
David Bau
DiffM
494
431
0
13 Mar 2023
Geometry of Score Based Generative Models
S. Ghimire
Jinyang Liu
Armand Comas Massague
Davin Hill
A. Masoomi
Mario Sznaier
Jennifer Dy
DiffM
240
11
0
09 Feb 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Neural Information Processing Systems (NeurIPS), 2023
Zihao Wang
Lin Gui
Jeffrey Negrea
Victor Veitch
CoGe
DiffM
528
59
0
07 Feb 2023
Divide and Compose with Score Based Generative Models
S. Ghimire
Armand Comas
Davin Hill
A. Masoomi
Mario Sznaier
Jennifer Dy
DiffM
193
0
0
05 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
International Conference on Learning Representations (ICLR), 2023
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
245
10
0
02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics
Neural Information Processing Systems (NeurIPS), 2023
Taoli Cheng
Aaron Courville
DiffM
360
1
0
01 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Neural Information Processing Systems (NeurIPS), 2023
Tao Yang
Yuwang Wang
Yan Lv
Nanning Zh
DiffM
481
33
0
31 Jan 2023
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields
Conference on Robot Learning (CoRL), 2022
Anthony Simeonov
Yilun Du
Lin Yen-Chen
Alberto Rodriguez
L. Kaelbling
Tomas Lozano-Perez
Pulkit Agrawal
215
67
0
17 Nov 2022
Neural Systematic Binder
International Conference on Learning Representations (ICLR), 2022
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
433
43
0
02 Nov 2022
Learning Explicit Object-Centric Representations with Vision Transformers
Oscar Vikström
Alexander Ilin
OCL
ViT
209
5
0
25 Oct 2022
Improving Object-centric Learning with Query Optimization
International Conference on Learning Representations (ICLR), 2022
Baoxiong Jia
Yu Liu
Siyuan Huang
OCL
260
62
0
17 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models
International Conference on Learning Representations (ICLR), 2022
Ruixiang Zhang
Tong Che
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
297
9
0
11 Oct 2022
1
2
Next
