Saved in:
| Main Authors: | Dodson, Nick, Gao, Xinyu, Wang, Qingsong, Wang, Yusu, Wan, Zhengchao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.17846 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries and Denoisers
by: Wan, Zhengchao, et al.
Published: (2024)
by: Wan, Zhengchao, et al.
Published: (2024)
Distances for Markov Chains, and Their Differentiation
by: Brugère, Tristan, et al.
Published: (2023)
by: Brugère, Tristan, et al.
Published: (2023)
The Numerical Stability of Hyperbolic Representation Learning
by: Mishne, Gal, et al.
Published: (2022)
by: Mishne, Gal, et al.
Published: (2022)
General and Efficient Steering of Unconditional Diffusion
by: Wang, Qingsong, et al.
Published: (2026)
by: Wang, Qingsong, et al.
Published: (2026)
Comparing Graph Transformers via Positional Encodings
by: Black, Mitchell, et al.
Published: (2024)
by: Black, Mitchell, et al.
Published: (2024)
On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)
by: Gu, Xiangming, et al.
Published: (2023)
A Geometric Framework for Understanding Memorization in Generative Models
by: Ross, Brendan Leigh, et al.
Published: (2024)
by: Ross, Brendan Leigh, et al.
Published: (2024)
On the Edge of Memorization in Diffusion Models
by: Buchanan, Sam, et al.
Published: (2025)
by: Buchanan, Sam, et al.
Published: (2025)
Learning Ultrametric Trees for Optimal Transport Regression
by: Chen, Samantha, et al.
Published: (2022)
by: Chen, Samantha, et al.
Published: (2022)
The Wasserstein transform
by: Jin, Kun, et al.
Published: (2018)
by: Jin, Kun, et al.
Published: (2018)
Memorization Dynamics of Fill-in-the-Middle Pretraining
by: von Arx, Tobias, et al.
Published: (2026)
by: von Arx, Tobias, et al.
Published: (2026)
On the Memorization of Consistency Distillation for Diffusion Models
by: Jiang, Bingqing, et al.
Published: (2026)
by: Jiang, Bingqing, et al.
Published: (2026)
TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion
by: Gao, Xinyu
Published: (2025)
by: Gao, Xinyu
Published: (2025)
Manifold Generalization Provably Proceeds Memorization in Diffusion Models
by: Shen, Zebang, et al.
Published: (2026)
by: Shen, Zebang, et al.
Published: (2026)
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
by: Fang, Zhengyu, et al.
Published: (2024)
by: Fang, Zhengyu, et al.
Published: (2024)
Provable Separations between Memorization and Generalization in Diffusion Models
by: Ye, Zeqi, et al.
Published: (2025)
by: Ye, Zeqi, et al.
Published: (2025)
Memorization and Regularization in Generative Diffusion Models
by: Baptista, Ricardo, et al.
Published: (2025)
by: Baptista, Ricardo, et al.
Published: (2025)
Explaining GNN Explanations with Edge Gradients
by: He, Jesse, et al.
Published: (2025)
by: He, Jesse, et al.
Published: (2025)
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
by: Hong, Yusu, et al.
Published: (2024)
by: Hong, Yusu, et al.
Published: (2024)
Revisiting Convergence of AdaGrad with Relaxed Assumptions
by: Hong, Yusu, et al.
Published: (2024)
by: Hong, Yusu, et al.
Published: (2024)
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
by: Zhou, Cai, et al.
Published: (2024)
by: Zhou, Cai, et al.
Published: (2024)
Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion
by: Shah, Kulin, et al.
Published: (2025)
by: Shah, Kulin, et al.
Published: (2025)
Reducing Diffusion Model Memorization with Higher Order Langevin Dynamics
by: Sterling, Benjamin, et al.
Published: (2026)
by: Sterling, Benjamin, et al.
Published: (2026)
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model
by: Wang, Zhixian, et al.
Published: (2023)
by: Wang, Zhixian, et al.
Published: (2023)
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
by: Favero, Alessandro, et al.
Published: (2025)
by: Favero, Alessandro, et al.
Published: (2025)
A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
by: Fang, Zhengyu, et al.
Published: (2025)
by: Fang, Zhengyu, et al.
Published: (2025)
Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
by: Dodson, Archer, et al.
Published: (2025)
by: Dodson, Archer, et al.
Published: (2025)
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
by: Wen, Haomin, et al.
Published: (2023)
by: Wen, Haomin, et al.
Published: (2023)
Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
by: Rodriguez, Marta Aparicio, et al.
Published: (2026)
by: Rodriguez, Marta Aparicio, et al.
Published: (2026)
Size Transferability of Graph Transformers with Convolutional Positional Encodings
by: Porras-Valenzuela, Javier, et al.
Published: (2026)
by: Porras-Valenzuela, Javier, et al.
Published: (2026)
Memorization Control in Diffusion Models from Denoising-centric Perspective
by: Vu, Thuy Phuong, et al.
Published: (2026)
by: Vu, Thuy Phuong, et al.
Published: (2026)
Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
by: Kim, Gwangho, et al.
Published: (2026)
by: Kim, Gwangho, et al.
Published: (2026)
An Efficient Alternating Algorithm for ReLU-based Symmetric Matrix Decomposition
by: Wang, Qingsong
Published: (2025)
by: Wang, Qingsong
Published: (2025)
Misalignment from Treating Means as Ends
by: Marklund, Henrik, et al.
Published: (2025)
by: Marklund, Henrik, et al.
Published: (2025)
Generalization-Memorization Machines
by: Wang, Zhen, et al.
Published: (2022)
by: Wang, Zhen, et al.
Published: (2022)
Principal Component Analysis in Space Forms
by: Tabaghi, Puoya, et al.
Published: (2023)
by: Tabaghi, Puoya, et al.
Published: (2023)
Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
by: Yang, Chenghao, et al.
Published: (2025)
by: Yang, Chenghao, et al.
Published: (2025)
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
by: Hintersdorf, Dominik, et al.
Published: (2024)
by: Hintersdorf, Dominik, et al.
Published: (2024)
A Geometric Perspective on Diffusion Models
by: Chen, Defang, et al.
Published: (2023)
by: Chen, Defang, et al.
Published: (2023)
Hyperbolic Geometric Latent Diffusion Model for Graph Generation
by: Fu, Xingcheng, et al.
Published: (2024)
by: Fu, Xingcheng, et al.
Published: (2024)
Similar Items
-
Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries and Denoisers
by: Wan, Zhengchao, et al.
Published: (2024) -
Distances for Markov Chains, and Their Differentiation
by: Brugère, Tristan, et al.
Published: (2023) -
The Numerical Stability of Hyperbolic Representation Learning
by: Mishne, Gal, et al.
Published: (2022) -
General and Efficient Steering of Unconditional Diffusion
by: Wang, Qingsong, et al.
Published: (2026) -
Comparing Graph Transformers via Positional Encodings
by: Black, Mitchell, et al.
Published: (2024)