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Spontaneous Symmetry Breaking in Generative Diffusion Models
v1v2v3 (latest)

Spontaneous Symmetry Breaking in Generative Diffusion Models

Neural Information Processing Systems (NeurIPS), 2023
31 May 2023
G. Raya
Luca Ambrogioni
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Spontaneous Symmetry Breaking in Generative Diffusion Models"

19 / 19 papers shown
Title
HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
Zhiguang Lu
Qianqian Xu
Peisong Wen
Siran Da
Qingming Huang
DiffM
573
0
0
16 Nov 2025
Data Unlearning Beyond Uniform Forgetting via Diffusion Time and Frequency Selection
Data Unlearning Beyond Uniform Forgetting via Diffusion Time and Frequency Selection
Jinseong Park
Mijung Park
DiffMMU
219
0
0
20 Oct 2025
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
Tyler Farghly
Peter Potaptchik
Samuel Howard
George Deligiannidis
Jakiw Pidstrigach
DiffM
183
2
0
02 Oct 2025
The Information Dynamics of Generative Diffusion
The Information Dynamics of Generative Diffusion
Luca Ambrogioni
DiffM
173
0
0
27 Aug 2025
Local Diffusion Models and Phases of Data Distributions
Local Diffusion Models and Phases of Data Distributions
Fangjun Hu
Guangkuo Liu
Yifan Zhang
Xun Gao
DiffM
100
3
0
08 Aug 2025
Measuring Semantic Information Production in Generative Diffusion Models
Measuring Semantic Information Production in Generative Diffusion Models
Florian Handke
Felix Koulischer
G. Raya
Luca Ambrogioni
DiffM
236
1
0
12 Jun 2025
Learning normalized image densities via dual score matching
Learning normalized image densities via dual score matching
Florentin Guth
Zahra Kadkhodaie
Eero P. Simoncelli
DiffM
301
5
0
05 Jun 2025
Entropic Time Schedulers for Generative Diffusion Models
Entropic Time Schedulers for Generative Diffusion Models
Dejan Stancevic
Luca Ambrogioni
Luca Ambrogioni
DiffMOOD
271
3
0
18 Apr 2025
TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
Ruidong Chen
Honglin Guo
Lanjun Wang
Chenyu Zhang
Weizhi Nie
An-an Liu
DiffM
264
5
0
10 Mar 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li
Zekai Zhang
Xiang Li
Siyi Chen
Zhihui Zhu
Peng Wang
Qing Qu
DiffM
492
5
0
09 Feb 2025
CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary
CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary
Jiahang Tu
Qian Feng
Jiahua Dong
Jiahua Dong
Hanbin Zhao
Chao Zhang
Hui Qian
DiffM
337
4
0
26 Jan 2025
Dynamic Negative Guidance of Diffusion Models
Dynamic Negative Guidance of Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Felix Koulischer
Johannes Deleu
G. Raya
T. Demeester
Luca Ambrogioni
DiffM
459
17
0
18 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusionInternational Conference on Learning Representations (ICLR), 2024
Enrico Ventura
Beatrice Achilli
Gianluigi Silvestri
Carlo Lucibello
Luca Ambrogioni
DiffM
479
20
0
08 Oct 2024
Cascade of phase transitions in the training of Energy-based models
Cascade of phase transitions in the training of Energy-based modelsNeural Information Processing Systems (NeurIPS), 2024
Dimitrios Bachtis
Giulio Biroli
A. Decelle
Beatriz Seoane
340
10
0
23 May 2024
How do Minimum-Norm Shallow Denoisers Look in Function Space?
How do Minimum-Norm Shallow Denoisers Look in Function Space?Neural Information Processing Systems (NeurIPS), 2023
Chen Zeno
Greg Ongie
Yaniv Blumenfeld
Nir Weinberger
Daniel Soudry
198
10
0
12 Nov 2023
The statistical thermodynamics of generative diffusion models: Phase
  transitions, symmetry breaking and critical instability
The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instabilityEntropy (Entropy), 2023
Luca Ambrogioni
AI4CEDiffM
352
27
0
26 Oct 2023
U-Turn Diffusion
U-Turn DiffusionEntropy (Entropy), 2023
Hamidreza Behjoo
Michael Chertkov
134
4
0
14 Aug 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
545
78
0
07 Jun 2023
Sampling using $SU(N)$ gauge equivariant flows
Sampling using SU(N)SU(N)SU(N) gauge equivariant flows
D. Boyda
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
M. S. Albergo
Kyle Cranmer
D. Hackett
P. Shanahan
309
138
0
12 Aug 2020
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