Observation-Guided Diffusion Probabilistic Models
Fuente:
arXiv
Saved in:
| Main Authors: | Kang, Junoh, Choi, Jinyoung, Choi, Sungik, Han, Bohyung |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions
by: Choi, Jinyoung, et al.
Published: (2025)
by: Choi, Jinyoung, et al.
Published: (2025)
FIFO-Diffusion: Generating Infinite Videos from Text without Training
by: Kim, Jihwan, et al.
Published: (2024)
by: Kim, Jihwan, et al.
Published: (2024)
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
by: Choi, Jinyoung, et al.
Published: (2021)
by: Choi, Jinyoung, et al.
Published: (2021)
Training-free Detection of AI-generated images via Cropping Robustness
by: Choi, Sungik, et al.
Published: (2025)
by: Choi, Sungik, et al.
Published: (2025)
STR-Match: Matching SpatioTemporal Relevance Score for Training-Free Video Editing
by: Lee, Junsung, et al.
Published: (2025)
by: Lee, Junsung, et al.
Published: (2025)
ICM-SR: Image-Conditioned Manifold Regularization for Image Super-Resolution
by: Kang, Junoh, et al.
Published: (2025)
by: Kang, Junoh, et al.
Published: (2025)
Communication-Efficient Federated Learning with Accelerated Client Gradient
by: Kim, Geeho, et al.
Published: (2022)
by: Kim, Geeho, et al.
Published: (2022)
Optimal Transport for Probabilistic Circuits
by: Ciotinga, Adrian, et al.
Published: (2024)
by: Ciotinga, Adrian, et al.
Published: (2024)
State-Covering Trajectory Stitching for Diffusion Planners
by: Lee, Kyowoon, et al.
Published: (2025)
by: Lee, Kyowoon, et al.
Published: (2025)
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
by: Lee, Kyowoon, et al.
Published: (2025)
by: Lee, Kyowoon, et al.
Published: (2025)
Learning Equi-angular Representations for Online Continual Learning
by: Seo, Minhyuk, et al.
Published: (2024)
by: Seo, Minhyuk, et al.
Published: (2024)
A Quantitative Definition of Intelligence
by: Choi, Kang-Sin
Published: (2026)
by: Choi, Kang-Sin
Published: (2026)
Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality Gap
by: Nam, KiHyun, et al.
Published: (2025)
by: Nam, KiHyun, et al.
Published: (2025)
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2025)
by: Kim, Taehoon, et al.
Published: (2025)
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
by: Choi, Hyeonbeom, et al.
Published: (2026)
by: Choi, Hyeonbeom, et al.
Published: (2026)
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
by: Choi, Wonjeong, et al.
Published: (2024)
by: Choi, Wonjeong, et al.
Published: (2024)
Scalable Simulation-free Entropic Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Counterfactual Probabilistic Diffusion with Expert Models
by: Mu, Wenhao, et al.
Published: (2025)
by: Mu, Wenhao, et al.
Published: (2025)
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting
by: Liu, Yuansan, et al.
Published: (2024)
by: Liu, Yuansan, et al.
Published: (2024)
Physics-Guided Geometric Diffusion for Macro Placement Generation
by: Yoon, Jongho, et al.
Published: (2026)
by: Yoon, Jongho, et al.
Published: (2026)
Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments
by: Han, Seungjun, et al.
Published: (2024)
by: Han, Seungjun, et al.
Published: (2024)
TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation
by: Park, Jinseong, et al.
Published: (2024)
by: Park, Jinseong, et al.
Published: (2024)
Graffe: Graph Representation Learning via Diffusion Probabilistic Models
by: Chen, Dingshuo, et al.
Published: (2025)
by: Chen, Dingshuo, et al.
Published: (2025)
Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models
by: Malhotra, Brij, et al.
Published: (2026)
by: Malhotra, Brij, et al.
Published: (2026)
Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
by: Li, Dan, et al.
Published: (2025)
by: Li, Dan, et al.
Published: (2025)
Proximal Diffusion Neural Sampler
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving
by: Yoo, Seungwoo, et al.
Published: (2026)
by: Yoo, Seungwoo, et al.
Published: (2026)
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
by: Komanduri, Aneesh, et al.
Published: (2024)
by: Komanduri, Aneesh, et al.
Published: (2024)
Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models
by: Kim, Jiyeon, et al.
Published: (2026)
by: Kim, Jiyeon, et al.
Published: (2026)
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025)
by: Choi, Youngjun, et al.
Published: (2025)
Latent Structure of Affective Representations in Large Language Models
by: Choi, Benjamin J., et al.
Published: (2026)
by: Choi, Benjamin J., et al.
Published: (2026)
Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
by: Dobhal, Umang, et al.
Published: (2026)
by: Dobhal, Umang, et al.
Published: (2026)
RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
by: Lai, Chih-Yu, et al.
Published: (2025)
by: Lai, Chih-Yu, et al.
Published: (2025)
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
by: Kang, Haneol, et al.
Published: (2024)
by: Kang, Haneol, et al.
Published: (2024)
COPAL: Continual Pruning in Large Language Generative Models
by: Malla, Srikanth, et al.
Published: (2024)
by: Malla, Srikanth, et al.
Published: (2024)
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)
by: Park, Jinyoung, et al.
Published: (2023)
Causal Neural Probabilistic Circuits
by: Chen, Weixin, et al.
Published: (2026)
by: Chen, Weixin, et al.
Published: (2026)
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
by: Yoo, YoungJoon, et al.
Published: (2023)
by: Yoo, YoungJoon, et al.
Published: (2023)
Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
by: Shin, Jiwoo, et al.
Published: (2025)
by: Shin, Jiwoo, et al.
Published: (2025)
Similar Items
-
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions
by: Choi, Jinyoung, et al.
Published: (2025) -
FIFO-Diffusion: Generating Infinite Videos from Text without Training
by: Kim, Jihwan, et al.
Published: (2024) -
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
by: Choi, Jinyoung, et al.
Published: (2021) -
Training-free Detection of AI-generated images via Cropping Robustness
by: Choi, Sungik, et al.
Published: (2025) -
STR-Match: Matching SpatioTemporal Relevance Score for Training-Free Video Editing
by: Lee, Junsung, et al.
Published: (2025)