Saved in:
| Main Authors: | Yu, Xuan, Wang, Xu, Zhu, Rui, Zhang, Yudong, Wang, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.11491 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Planning-Augmented Sampling with Early Guidance for High-Reward Discovery
by: Zhu, Rui, et al.
Published: (2025)
by: Zhu, Rui, et al.
Published: (2025)
Partial GFlowNet: Accelerating Convergence in Large State Spaces via Strategic Partitioning
by: Yu, Xuan, et al.
Published: (2026)
by: Yu, Xuan, et al.
Published: (2026)
Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows
by: Chen, Yudong, et al.
Published: (2024)
by: Chen, Yudong, et al.
Published: (2024)
Hamiltonian Score Matching and Generative Flows
by: Holderrieth, Peter, et al.
Published: (2024)
by: Holderrieth, Peter, et al.
Published: (2024)
Subspace-Configurable Networks
by: Wang, Dong, et al.
Published: (2023)
by: Wang, Dong, et al.
Published: (2023)
Multi-view Deep Subspace Clustering Networks
by: Zhu, Pengfei, et al.
Published: (2019)
by: Zhu, Pengfei, et al.
Published: (2019)
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
by: Hu, Rui, et al.
Published: (2024)
by: Hu, Rui, et al.
Published: (2024)
Exploring Concept Subspace for Self-explainable Text-Attributed Graph Learning
by: Han, Xiaoxue, et al.
Published: (2026)
by: Han, Xiaoxue, et al.
Published: (2026)
Exploring Activation Patterns of Parameters in Language Models
by: Wang, Yudong, et al.
Published: (2024)
by: Wang, Yudong, et al.
Published: (2024)
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions
by: Liao, Xinyu, et al.
Published: (2024)
by: Liao, Xinyu, et al.
Published: (2024)
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
asKAN: Active Subspace embedded Kolmogorov-Arnold Network
by: Zhou, Zhiteng, et al.
Published: (2025)
by: Zhou, Zhiteng, et al.
Published: (2025)
GTG: Generalizable Trajectory Generation Model for Urban Mobility
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
by: Hao, Jie, et al.
Published: (2025)
by: Hao, Jie, et al.
Published: (2025)
The Score-Difference Flow for Implicit Generative Modeling
by: Weber, Romann M.
Published: (2023)
by: Weber, Romann M.
Published: (2023)
Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
by: Xu, Yanbo, et al.
Published: (2025)
by: Xu, Yanbo, et al.
Published: (2025)
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training
by: Zhou, Wenjie, et al.
Published: (2025)
by: Zhou, Wenjie, et al.
Published: (2025)
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
by: Chen, Siyi, et al.
Published: (2024)
by: Chen, Siyi, et al.
Published: (2024)
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
by: Zhang, Junru, et al.
Published: (2026)
by: Zhang, Junru, et al.
Published: (2026)
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
by: Zhang, Ni, et al.
Published: (2025)
by: Zhang, Ni, et al.
Published: (2025)
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling
by: Xi, Xumei, et al.
Published: (2024)
by: Xi, Xumei, et al.
Published: (2024)
Ridge Leverage Score Sampling for $\ell_p$ Subspace Approximation
by: Woodruff, David P., et al.
Published: (2024)
by: Woodruff, David P., et al.
Published: (2024)
Exploring the Potential of Large Language Models in Graph Generation
by: Yao, Yang, et al.
Published: (2024)
by: Yao, Yang, et al.
Published: (2024)
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
by: Han, Yinbin, et al.
Published: (2024)
by: Han, Yinbin, et al.
Published: (2024)
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
by: Zhu, Shijie, et al.
Published: (2025)
by: Zhu, Shijie, et al.
Published: (2025)
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?
by: Gao, Weiguo, et al.
Published: (2024)
by: Gao, Weiguo, et al.
Published: (2024)
SEIS: Subspace-based Equivariance and Invariance Scores for Neural Representations
by: Lin, Huahua, et al.
Published: (2026)
by: Lin, Huahua, et al.
Published: (2026)
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
by: Zheng, Rui, et al.
Published: (2024)
by: Zheng, Rui, et al.
Published: (2024)
SUPRA: Subspace Parameterized Attention for Neural Operator on General Domains
by: Yang, Zherui, et al.
Published: (2025)
by: Yang, Zherui, et al.
Published: (2025)
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
by: Yao, Jiawei, et al.
Published: (2024)
by: Yao, Jiawei, et al.
Published: (2024)
Safe and Reliable Diffusion Models via Subspace Projection
by: Chen, Huiqiang, et al.
Published: (2025)
by: Chen, Huiqiang, et al.
Published: (2025)
ResPrune: Text-Conditioned Subspace Reconstruction for Visual Token Pruning in Large Vision-Language Models
by: Li, Xu, et al.
Published: (2026)
by: Li, Xu, et al.
Published: (2026)
Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring
by: Huang, Youhan, et al.
Published: (2026)
by: Huang, Youhan, et al.
Published: (2026)
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
by: Li, Junbo, et al.
Published: (2024)
by: Li, Junbo, et al.
Published: (2024)
BioLM-Score: Language-Prior Conditioned Probabilistic Geometric Potentials for Protein-Ligand Scoring
by: Yang, Zhangfan, et al.
Published: (2026)
by: Yang, Zhangfan, et al.
Published: (2026)
Attention-Only Transformers via Unrolled Subspace Denoising
by: Wang, Peng, et al.
Published: (2025)
by: Wang, Peng, et al.
Published: (2025)
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
by: Wang, Xu, et al.
Published: (2025)
by: Wang, Xu, et al.
Published: (2025)
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
by: Yue, Angxiao, et al.
Published: (2025)
by: Yue, Angxiao, et al.
Published: (2025)
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
by: Wang, Puyu, et al.
Published: (2023)
by: Wang, Puyu, et al.
Published: (2023)
The $φ$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
by: Wang, Yichen, et al.
Published: (2025)
by: Wang, Yichen, et al.
Published: (2025)
Similar Items
-
Planning-Augmented Sampling with Early Guidance for High-Reward Discovery
by: Zhu, Rui, et al.
Published: (2025) -
Partial GFlowNet: Accelerating Convergence in Large State Spaces via Strategic Partitioning
by: Yu, Xuan, et al.
Published: (2026) -
Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows
by: Chen, Yudong, et al.
Published: (2024) -
Hamiltonian Score Matching and Generative Flows
by: Holderrieth, Peter, et al.
Published: (2024) -
Subspace-Configurable Networks
by: Wang, Dong, et al.
Published: (2023)