Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Hengzhuang, Zhang, Teng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-Linear Outlier Synthesis for Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)
by: Doorenbos, Lars, et al.
Published: (2024)
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
by: Sun, Li, et al.
Published: (2026)
by: Sun, Li, et al.
Published: (2026)
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
by: Jiang, Wenyu, et al.
Published: (2023)
by: Jiang, Wenyu, et al.
Published: (2023)
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
by: Liu, Moru, et al.
Published: (2025)
by: Liu, Moru, et al.
Published: (2025)
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
by: Cao, Chentao, et al.
Published: (2024)
by: Cao, Chentao, et al.
Published: (2024)
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
by: Mirzaei, Hossein, et al.
Published: (2025)
by: Mirzaei, Hossein, et al.
Published: (2025)
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
by: Ghosh, Soumyadip, et al.
Published: (2021)
by: Ghosh, Soumyadip, et al.
Published: (2021)
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection
by: Erdogan, Ege, et al.
Published: (2023)
by: Erdogan, Ege, et al.
Published: (2023)
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
by: Lei, Yutian, et al.
Published: (2024)
by: Lei, Yutian, et al.
Published: (2024)
Counterdiabatic Hamiltonian Monte Carlo
by: Cohn-Gordon, Reuben, et al.
Published: (2026)
by: Cohn-Gordon, Reuben, et al.
Published: (2026)
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo
by: Wang, Ziyi, et al.
Published: (2023)
by: Wang, Ziyi, et al.
Published: (2023)
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
by: He, Junwei, et al.
Published: (2024)
by: He, Junwei, et al.
Published: (2024)
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
by: Zeng, Cong, et al.
Published: (2025)
by: Zeng, Cong, et al.
Published: (2025)
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
by: Chen, Jiankang, et al.
Published: (2024)
by: Chen, Jiankang, et al.
Published: (2024)
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
by: Liang, Jiajun, et al.
Published: (2024)
by: Liang, Jiajun, et al.
Published: (2024)
Resonances in reflective Hamiltonian Monte Carlo
by: Kroupa, Namu, et al.
Published: (2025)
by: Kroupa, Namu, et al.
Published: (2025)
Last Layer Hamiltonian Monte Carlo
by: Vellenga, Koen, et al.
Published: (2025)
by: Vellenga, Koen, et al.
Published: (2025)
Multi-fidelity Hamiltonian Monte Carlo
by: Patel, Dhruv V., et al.
Published: (2024)
by: Patel, Dhruv V., et al.
Published: (2024)
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
by: Dinh, Vu C., et al.
Published: (2024)
by: Dinh, Vu C., et al.
Published: (2024)
CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
by: Lu, Bowen, et al.
Published: (2026)
by: Lu, Bowen, et al.
Published: (2026)
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
by: Lai, Jinlin, et al.
Published: (2024)
by: Lai, Jinlin, et al.
Published: (2024)
Algorithmic warm starts for Hamiltonian Monte Carlo
by: Zhang, Matthew S., et al.
Published: (2026)
by: Zhang, Matthew S., et al.
Published: (2026)
Out-of-Distribution Generalization in Time Series: A Survey
by: Wu, Xin, et al.
Published: (2025)
by: Wu, Xin, et al.
Published: (2025)
Efficient Generation of Hidden Outliers for Improved Outlier Detection
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
by: Cribeiro-Ramallo, Jose, et al.
Published: (2024)
Kernel Outlier Detection
by: Dağıdır, Can Hakan, et al.
Published: (2025)
by: Dağıdır, Can Hakan, et al.
Published: (2025)
Disentangled Graph Prompting for Out-Of-Distribution Detection
by: Yang, Cheng, et al.
Published: (2026)
by: Yang, Cheng, et al.
Published: (2026)
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte Carlo
by: Modi, Chirag
Published: (2024)
by: Modi, Chirag
Published: (2024)
UNSAT Solver Synthesis via Monte Carlo Forest Search
by: Cameron, Chris, et al.
Published: (2022)
by: Cameron, Chris, et al.
Published: (2022)
Out-of-Distribution Detection on Graphs: A Survey
by: Cai, Tingyi, et al.
Published: (2025)
by: Cai, Tingyi, et al.
Published: (2025)
Repelling-Attracting Hamiltonian Monte Carlo
by: Vishwanath, Siddharth, et al.
Published: (2024)
by: Vishwanath, Siddharth, et al.
Published: (2024)
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
by: Du, Xuefeng, et al.
Published: (2024)
by: Du, Xuefeng, et al.
Published: (2024)
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
by: Bai, Haoyue, et al.
Published: (2024)
by: Bai, Haoyue, et al.
Published: (2024)
Out-of-Distribution Detection with Overlap Index
by: Fu, Hao, et al.
Published: (2024)
by: Fu, Hao, et al.
Published: (2024)
Kernel PCA for Out-of-Distribution Detection
by: Fang, Kun, et al.
Published: (2024)
by: Fang, Kun, et al.
Published: (2024)
Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles
by: Ghosh, Kushankur, et al.
Published: (2024)
by: Ghosh, Kushankur, et al.
Published: (2024)
Fast Riemannian-manifold Hamiltonian Monte Carlo for hierarchical Gaussian-process models
by: Hayakawa, Takashi, et al.
Published: (2025)
by: Hayakawa, Takashi, et al.
Published: (2025)
Deep Transductive Outlier Detection
by: Klüttermann, Simon, et al.
Published: (2024)
by: Klüttermann, Simon, et al.
Published: (2024)
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
by: Prashant, Mohit, et al.
Published: (2025)
by: Prashant, Mohit, et al.
Published: (2025)
TASTE: Task-Aware Out-of-Distribution Detection via Stein Operators
by: Kozyra, Michał, et al.
Published: (2026)
by: Kozyra, Michał, et al.
Published: (2026)
Similar Items
-
Non-Linear Outlier Synthesis for Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024) -
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
by: Sun, Li, et al.
Published: (2026) -
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
by: Jiang, Wenyu, et al.
Published: (2023) -
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
by: Liu, Moru, et al.
Published: (2025) -
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
by: Cao, Chentao, et al.
Published: (2024)