Saved in:
| Main Authors: | Zhang, Zegu, Peng, Jianhua, Zhang, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.05813 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders
by: Zhang, Zegu, et al.
Published: (2026)
by: Zhang, Zegu, et al.
Published: (2026)
Spherical VAE with Cluster-Aware Feasible Regions: Guaranteed Prevention of Posterior Collapse
by: Zhang, Zegu, et al.
Published: (2026)
by: Zhang, Zegu, et al.
Published: (2026)
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
by: Guo, Xichen, et al.
Published: (2024)
by: Guo, Xichen, et al.
Published: (2024)
Adversarial Robustness of VAEs across Intersectional Subgroups
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2024)
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2024)
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs
by: Chen, Zihao, et al.
Published: (2025)
by: Chen, Zihao, et al.
Published: (2025)
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
by: Sutter, Thomas M., et al.
Published: (2024)
by: Sutter, Thomas M., et al.
Published: (2024)
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
Certificate-Guided Pruning for Stochastic Lipschitz Optimization
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Explanation Beyond Intuition: A Testable Criterion for Inherent Explainability
by: Merry, Michael, et al.
Published: (2025)
by: Merry, Michael, et al.
Published: (2025)
Adaptive-lambda Subtracted Importance Sampled Scores in Machine Unlearning for DDPMs and VAEs
by: Dini, MohammadParsa, et al.
Published: (2025)
by: Dini, MohammadParsa, et al.
Published: (2025)
Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference
by: Oshima, Yuta, et al.
Published: (2024)
by: Oshima, Yuta, et al.
Published: (2024)
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
by: Jung, Hee-Jun, et al.
Published: (2025)
by: Jung, Hee-Jun, et al.
Published: (2025)
Graph2TS: Structure-Controlled Time Series Generation via Quantile-Graph VAEs
by: Du, Shaoshuai, et al.
Published: (2026)
by: Du, Shaoshuai, et al.
Published: (2026)
Geometry of Drifting MDPs with Path-Integral Stability Certificates
by: Zhang, Zuyuan, et al.
Published: (2026)
by: Zhang, Zuyuan, et al.
Published: (2026)
Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
by: Mao, Yuhao, et al.
Published: (2024)
by: Mao, Yuhao, et al.
Published: (2024)
Adversarial robustness of VAEs through the lens of local geometry
by: Khan, Asif, et al.
Published: (2022)
by: Khan, Asif, et al.
Published: (2022)
Learning Energy-based Variational Latent Prior for VAEs
by: Dutta, Debottam, et al.
Published: (2025)
by: Dutta, Debottam, et al.
Published: (2025)
Natural Language Requirements Testability Measurement Based on Requirement Smells
by: Zakeri-Nasrabadi, Morteza, et al.
Published: (2024)
by: Zakeri-Nasrabadi, Morteza, et al.
Published: (2024)
CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse Prevention
by: Li, Qingbin, et al.
Published: (2025)
by: Li, Qingbin, et al.
Published: (2025)
On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
A Comparative Evaluation of Teacher-Guided Reinforcement Learning Techniques for Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)
by: Tholl, Konur, et al.
Published: (2025)
The Price of Format: Diversity Collapse in LLMs
by: Yun, Longfei, et al.
Published: (2025)
by: Yun, Longfei, et al.
Published: (2025)
The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety
by: Springer, Max, et al.
Published: (2026)
by: Springer, Max, et al.
Published: (2026)
Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
by: Zhang, Yifei, et al.
Published: (2023)
by: Zhang, Yifei, et al.
Published: (2023)
Towards Realistic Guarantees: A Probabilistic Certificate for SmoothLLM
by: Kumarappan, Adarsh, et al.
Published: (2025)
by: Kumarappan, Adarsh, et al.
Published: (2025)
A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)
by: Zhu, Yaoyu, et al.
Published: (2025)
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine
by: Huang, Wei, et al.
Published: (2026)
by: Huang, Wei, et al.
Published: (2026)
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
by: He, Kun, et al.
Published: (2025)
by: He, Kun, et al.
Published: (2025)
Certification for Differentially Private Prediction in Gradient-Based Training
by: Wicker, Matthew, et al.
Published: (2024)
by: Wicker, Matthew, et al.
Published: (2024)
Robust Conformal Prediction with a Single Binary Certificate
by: Zargarbashi, Soroush H., et al.
Published: (2025)
by: Zargarbashi, Soroush H., et al.
Published: (2025)
Neural Control and Certificate Repair via Runtime Monitoring
by: Yu, Emily, et al.
Published: (2024)
by: Yu, Emily, et al.
Published: (2024)
LaDi-RL: Latent Diffusion Reasoning Prevents Entropy Collapse in Reinforcement Learning
by: Kang, Haoqiang, et al.
Published: (2026)
by: Kang, Haoqiang, et al.
Published: (2026)
A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction
by: Zhang, Lingyu, et al.
Published: (2025)
by: Zhang, Lingyu, et al.
Published: (2025)
Trust Regions for Explanations via Black-Box Probabilistic Certification
by: Dhurandhar, Amit, et al.
Published: (2024)
by: Dhurandhar, Amit, et al.
Published: (2024)
Collapsed Inference for Bayesian Deep Learning
by: Zeng, Zhe, et al.
Published: (2023)
by: Zeng, Zhe, et al.
Published: (2023)
Model Collapse Demystified: The Case of Regression
by: Dohmatob, Elvis, et al.
Published: (2024)
by: Dohmatob, Elvis, et al.
Published: (2024)
Representation Collapsing Problems in Vector Quantization
by: Zhao, Wenhao, et al.
Published: (2024)
by: Zhao, Wenhao, et al.
Published: (2024)
Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation
by: Lee, Kevin
Published: (2024)
by: Lee, Kevin
Published: (2024)
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
by: Ye, Kai, et al.
Published: (2026)
by: Ye, Kai, et al.
Published: (2026)
Similar Items
-
A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders
by: Zhang, Zegu, et al.
Published: (2026) -
Spherical VAE with Cluster-Aware Feasible Regions: Guaranteed Prevention of Posterior Collapse
by: Zhang, Zegu, et al.
Published: (2026) -
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
by: Guo, Xichen, et al.
Published: (2024) -
Adversarial Robustness of VAEs across Intersectional Subgroups
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2024) -
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs
by: Chen, Zihao, et al.
Published: (2025)