Pattern-Guided Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Vivian, Jang, Kuk Jin, Si, Wenwen, Lee, Insup |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
by: Lin, Vivian, et al.
Published: (2023)
by: Lin, Vivian, et al.
Published: (2023)
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
by: Si, Wenwen, et al.
Published: (2025)
by: Si, Wenwen, et al.
Published: (2025)
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems
by: Lin, Vivian, et al.
Published: (2025)
by: Lin, Vivian, et al.
Published: (2025)
Distributionally Robust Statistical Verification with Imprecise Neural Networks
by: Dutta, Souradeep, et al.
Published: (2023)
by: Dutta, Souradeep, et al.
Published: (2023)
Quantifying and Improving Adaptivity in Conformal Prediction through Input Transformations
by: Jang, Sooyong, et al.
Published: (2025)
by: Jang, Sooyong, et al.
Published: (2025)
Credal Bayesian Deep Learning
by: Caprio, Michele, et al.
Published: (2023)
by: Caprio, Michele, et al.
Published: (2023)
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
by: Park, Jean, et al.
Published: (2024)
by: Park, Jean, et al.
Published: (2024)
Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning
by: Si, Wenwen, et al.
Published: (2026)
by: Si, Wenwen, et al.
Published: (2026)
Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis
by: Shi, Xinyuan, et al.
Published: (2024)
by: Shi, Xinyuan, et al.
Published: (2024)
IBCL: Zero-shot Model Generation under Stability-Plasticity Trade-offs
by: Lu, Pengyuan, et al.
Published: (2023)
by: Lu, Pengyuan, et al.
Published: (2023)
RAPID: An Efficient Reinforcement Learning Algorithm for Small Language Models
by: Huang, Lianghuan, et al.
Published: (2025)
by: Huang, Lianghuan, et al.
Published: (2025)
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios
by: Lin, Vivian, et al.
Published: (2025)
by: Lin, Vivian, et al.
Published: (2025)
Selective Task Group Updates for Multi-Task Optimization
by: Jeong, Wooseong, et al.
Published: (2025)
by: Jeong, Wooseong, et al.
Published: (2025)
On the Calibration of Multilingual Question Answering LLMs
by: Yang, Yahan, et al.
Published: (2023)
by: Yang, Yahan, et al.
Published: (2023)
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
by: Ji, Xiayan, et al.
Published: (2024)
by: Ji, Xiayan, et al.
Published: (2024)
Conformal Prediction Regions for Time Series using Linear Complementarity Programming
by: Cleaveland, Matthew, et al.
Published: (2023)
by: Cleaveland, Matthew, et al.
Published: (2023)
A Generalized Learning Framework for Self-Supervised Contrastive Learning
by: Si, Lingyu, et al.
Published: (2025)
by: Si, Lingyu, et al.
Published: (2025)
Quantifying Task Priority for Multi-Task Optimization
by: Jeong, Wooseong, et al.
Published: (2024)
by: Jeong, Wooseong, et al.
Published: (2024)
Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
by: Jeong, Wooseong, et al.
Published: (2026)
by: Jeong, Wooseong, et al.
Published: (2026)
Label-Free Cross-Task LoRA Merging with Null-Space Compression
by: Lee, Wonyoung, et al.
Published: (2026)
by: Lee, Wonyoung, et al.
Published: (2026)
Accelerating LMO-Based Optimization via Implicit Gradient Transport
by: Jang, Won-Jun, et al.
Published: (2026)
by: Jang, Won-Jun, et al.
Published: (2026)
Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random
by: Sim, Gyuwon, et al.
Published: (2026)
by: Sim, Gyuwon, et al.
Published: (2026)
Memory-Consistent Neural Networks for Imitation Learning
by: Sridhar, Kaustubh, et al.
Published: (2023)
by: Sridhar, Kaustubh, et al.
Published: (2023)
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
by: Jeong, Wooseong, et al.
Published: (2025)
by: Jeong, Wooseong, et al.
Published: (2025)
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
by: Jang, Won-Jun, et al.
Published: (2025)
by: Jang, Won-Jun, et al.
Published: (2025)
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
by: Zuo, Si, et al.
Published: (2023)
by: Zuo, Si, et al.
Published: (2023)
CAMD: Coverage-Aware Multimodal Decoding for Efficient Reasoning of Multimodal Large Language Models
by: Guo, Huijie, et al.
Published: (2026)
by: Guo, Huijie, et al.
Published: (2026)
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
by: Yun, Taeyoung, et al.
Published: (2024)
by: Yun, Taeyoung, et al.
Published: (2024)
Learn to Guide Your Diffusion Model
by: Galashov, Alexandre, et al.
Published: (2025)
by: Galashov, Alexandre, et al.
Published: (2025)
Adversarial Environment Design via Regret-Guided Diffusion Models
by: Chung, Hojun, et al.
Published: (2024)
by: Chung, Hojun, et al.
Published: (2024)
Guided Transfer Learning for Discrete Diffusion Models
by: Kleutgens, Julian, et al.
Published: (2025)
by: Kleutgens, Julian, et al.
Published: (2025)
Diffusion Guided Language Modeling
by: Lovelace, Justin, et al.
Published: (2024)
by: Lovelace, Justin, et al.
Published: (2024)
Prior-Guided Diffusion Planning for Offline Reinforcement Learning
by: Ki, Donghyeon, et al.
Published: (2025)
by: Ki, Donghyeon, et al.
Published: (2025)
Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)
by: Huang, Xinmeng, et al.
Published: (2024)
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation
by: Sun, Mingchun, et al.
Published: (2025)
by: Sun, Mingchun, et al.
Published: (2025)
A Mixture-Based Framework for Guiding Diffusion Models
by: Janati, Yazid, et al.
Published: (2025)
by: Janati, Yazid, et al.
Published: (2025)
Learning and Simulating Building Evacuation Patterns for Enhanced Safety Design Using Generative Models
by: Han, Jin, et al.
Published: (2025)
by: Han, Jin, et al.
Published: (2025)
Particle-Guided Diffusion Models for Partial Differential Equations
by: Millard, Andrew, et al.
Published: (2026)
by: Millard, Andrew, et al.
Published: (2026)
EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling
by: Lee, Jia-Hua, et al.
Published: (2025)
by: Lee, Jia-Hua, et al.
Published: (2025)
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
by: Yang, Hunmin, et al.
Published: (2024)
by: Yang, Hunmin, et al.
Published: (2024)
Similar Items
-
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
by: Lin, Vivian, et al.
Published: (2023) -
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
by: Si, Wenwen, et al.
Published: (2025) -
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems
by: Lin, Vivian, et al.
Published: (2025) -
Distributionally Robust Statistical Verification with Imprecise Neural Networks
by: Dutta, Souradeep, et al.
Published: (2023) -
Quantifying and Improving Adaptivity in Conformal Prediction through Input Transformations
by: Jang, Sooyong, et al.
Published: (2025)