Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
Fuente:
arXiv
Guardado en:
| Autor principal: | Boget, Yoann |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026)
por: Boget, Yoann, et al.
Publicado: (2026)
Hierarchical Discrete Flow Matching for Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026)
por: Boget, Yoann, et al.
Publicado: (2026)
Discrete Graph Auto-Encoder
por: Boget, Yoann, et al.
Publicado: (2023)
por: Boget, Yoann, et al.
Publicado: (2023)
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
por: Nguyen, Van Khoa, et al.
Publicado: (2024)
por: Nguyen, Van Khoa, et al.
Publicado: (2024)
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
por: Rector-Brooks, Jarrid, et al.
Publicado: (2024)
por: Rector-Brooks, Jarrid, et al.
Publicado: (2024)
Recasting Continual Learning as Sequence Modeling
por: Lee, Soochan, et al.
Publicado: (2023)
por: Lee, Soochan, et al.
Publicado: (2023)
Sparse Training of Discrete Diffusion Models for Graph Generation
por: Qin, Yiming, et al.
Publicado: (2023)
por: Qin, Yiming, et al.
Publicado: (2023)
Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement
por: Lee, Sanghyun, et al.
Publicado: (2025)
por: Lee, Sanghyun, et al.
Publicado: (2025)
Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation
por: Graves, Reid, et al.
Publicado: (2024)
por: Graves, Reid, et al.
Publicado: (2024)
TDHook: A Lightweight Framework for Interpretability
por: Poupart, Yoann
Publicado: (2025)
por: Poupart, Yoann
Publicado: (2025)
A Simple and Scalable Representation for Graph Generation
por: Jang, Yunhui, et al.
Publicado: (2023)
por: Jang, Yunhui, et al.
Publicado: (2023)
Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
por: Liu, Yonghao, et al.
Publicado: (2026)
por: Liu, Yonghao, et al.
Publicado: (2026)
Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
por: Lee, Jaejun, et al.
Publicado: (2026)
por: Lee, Jaejun, et al.
Publicado: (2026)
LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models
por: Park, Taekhyun, et al.
Publicado: (2026)
por: Park, Taekhyun, et al.
Publicado: (2026)
Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
por: Kim, Jun Hyeong, et al.
Publicado: (2024)
por: Kim, Jun Hyeong, et al.
Publicado: (2024)
Think While You Generate: Discrete Diffusion with Planned Denoising
por: Liu, Sulin, et al.
Publicado: (2024)
por: Liu, Sulin, et al.
Publicado: (2024)
Generalized Discrete Diffusion with Self-Correction
por: Wang, Linxuan, et al.
Publicado: (2026)
por: Wang, Linxuan, et al.
Publicado: (2026)
A Small Math Model: Recasting Strategy Choice Theory in an LLM-Inspired Architecture
por: Rahman, Roussel, et al.
Publicado: (2025)
por: Rahman, Roussel, et al.
Publicado: (2025)
Are Expressive Encoders Necessary for Discrete Graph Generation?
por: Revolinsky, Jay, et al.
Publicado: (2026)
por: Revolinsky, Jay, et al.
Publicado: (2026)
DDTR: Diffusion Denoising Trace Recovery
por: Matyash, Maximilian, et al.
Publicado: (2025)
por: Matyash, Maximilian, et al.
Publicado: (2025)
Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
por: Dobhal, Umang, et al.
Publicado: (2026)
por: Dobhal, Umang, et al.
Publicado: (2026)
High Resolution Seismic Waveform Generation using Denoising Diffusion
por: Palgunadi, Kadek Hendrawan, et al.
Publicado: (2024)
por: Palgunadi, Kadek Hendrawan, et al.
Publicado: (2024)
MedMamba: Recasting Mamba for Medical Time Series Classification
por: He, ZhengXiao, et al.
Publicado: (2026)
por: He, ZhengXiao, et al.
Publicado: (2026)
Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
por: Kosman, Eitan, et al.
Publicado: (2026)
por: Kosman, Eitan, et al.
Publicado: (2026)
Generalized Interpolating Discrete Diffusion
por: von Rütte, Dimitri, et al.
Publicado: (2025)
por: von Rütte, Dimitri, et al.
Publicado: (2025)
Revisiting Discrete Soft Actor-Critic
por: Zhou, Haibin, et al.
Publicado: (2022)
por: Zhou, Haibin, et al.
Publicado: (2022)
The Safety-Aware Denoiser for Text Diffusion Models
por: Yusuf, Amman, et al.
Publicado: (2026)
por: Yusuf, Amman, et al.
Publicado: (2026)
Simple Hierarchical Planning with Diffusion
por: Chen, Chang, et al.
Publicado: (2024)
por: Chen, Chang, et al.
Publicado: (2024)
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
por: Xu, Can, et al.
Publicado: (2024)
por: Xu, Can, et al.
Publicado: (2024)
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription
por: Kim, Hounsu, et al.
Publicado: (2025)
por: Kim, Hounsu, et al.
Publicado: (2025)
Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models
por: Wang, Junfei, et al.
Publicado: (2025)
por: Wang, Junfei, et al.
Publicado: (2025)
Generalized Discrete Diffusion from Snapshots
por: Zekri, Oussama, et al.
Publicado: (2026)
por: Zekri, Oussama, et al.
Publicado: (2026)
Object-centric Denoising Diffusion Models for Physical Reasoning
por: Lange, Moritz, et al.
Publicado: (2025)
por: Lange, Moritz, et al.
Publicado: (2025)
Interleaved Gibbs Diffusion: Generating Discrete-Continuous Data with Implicit Constraints
por: Anil, Gautham Govind, et al.
Publicado: (2025)
por: Anil, Gautham Govind, et al.
Publicado: (2025)
Self-Attention Mechanism in Multimodal Context for Banking Transaction Flow
por: Delestre, Cyrile, et al.
Publicado: (2024)
por: Delestre, Cyrile, et al.
Publicado: (2024)
ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation
por: Zhang, Peiyan, et al.
Publicado: (2026)
por: Zhang, Peiyan, et al.
Publicado: (2026)
Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
por: Zheng, Yilun, et al.
Publicado: (2025)
por: Zheng, Yilun, et al.
Publicado: (2025)
Graph-Aware Diffusion for Signal Generation
por: Rozada, Sergio, et al.
Publicado: (2025)
por: Rozada, Sergio, et al.
Publicado: (2025)
Diffusion-based Graph Generative Methods
por: Chen, Hongyang, et al.
Publicado: (2024)
por: Chen, Hongyang, et al.
Publicado: (2024)
On the Relation Between Linear Diffusion and Power Iteration
por: Weitzner, Dana, et al.
Publicado: (2024)
por: Weitzner, Dana, et al.
Publicado: (2024)
Ejemplares similares
-
Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026) -
Hierarchical Discrete Flow Matching for Graph Generation
por: Boget, Yoann, et al.
Publicado: (2026) -
Discrete Graph Auto-Encoder
por: Boget, Yoann, et al.
Publicado: (2023) -
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
por: Nguyen, Van Khoa, et al.
Publicado: (2024) -
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
por: Rector-Brooks, Jarrid, et al.
Publicado: (2024)