Saved in:
| Main Authors: | Deng, Chengyuan, Chen, Zhengzhang, Zhao, Xujiang, Wang, Haoyu, Wang, Junxiang, Chen, Haifeng, Gao, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.09698 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
by: Wang, Junxiang, et al.
Published: (2023)
by: Wang, Junxiang, et al.
Published: (2023)
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Online Multi-modal Root Cause Identification in Microservice Systems
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
by: Lin, Yujie, et al.
Published: (2023)
by: Lin, Yujie, et al.
Published: (2023)
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
by: Li, Dong, et al.
Published: (2026)
by: Li, Dong, et al.
Published: (2026)
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
by: Li, Dong, et al.
Published: (2025)
by: Li, Dong, et al.
Published: (2025)
MuRAL-CPD: Active Learning for Multiresolution Change Point Detection
by: Bertolasi, Stefano, et al.
Published: (2026)
by: Bertolasi, Stefano, et al.
Published: (2026)
The Power of Order: Fooling LLMs with Adversarial Table Permutations
by: Dong, Xinshuai, et al.
Published: (2026)
by: Dong, Xinshuai, et al.
Published: (2026)
Multi-modal Causal Structure Learning and Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
by: Zhang, Binchi, et al.
Published: (2026)
by: Zhang, Binchi, et al.
Published: (2026)
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
by: Lin, Minhua, et al.
Published: (2024)
by: Lin, Minhua, et al.
Published: (2024)
Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation
by: Wang, Xiuheng, et al.
Published: (2025)
by: Wang, Xiuheng, et al.
Published: (2025)
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)
On the Price of Differential Privacy for Hierarchical Clustering
by: Deng, Chengyuan, et al.
Published: (2025)
by: Deng, Chengyuan, et al.
Published: (2025)
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
by: Shen, ChengAo, et al.
Published: (2024)
by: Shen, ChengAo, et al.
Published: (2024)
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
by: Liu, Xuyuan, et al.
Published: (2025)
by: Liu, Xuyuan, et al.
Published: (2025)
IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation
by: Chen, Zihao, et al.
Published: (2025)
by: Chen, Zihao, et al.
Published: (2025)
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
by: Wang, Junxiang, et al.
Published: (2024)
by: Wang, Junxiang, et al.
Published: (2024)
Online Neural Networks for Change-Point Detection
by: Hushchyn, Mikhail, et al.
Published: (2020)
by: Hushchyn, Mikhail, et al.
Published: (2020)
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
by: Gao, Junxiang, et al.
Published: (2025)
by: Gao, Junxiang, et al.
Published: (2025)
Online Kernel CUSUM for Change-Point Detection
by: Wei, Song, et al.
Published: (2022)
by: Wei, Song, et al.
Published: (2022)
Noise-contrastive Online Change Point Detection
by: Puchkin, Nikita, et al.
Published: (2022)
by: Puchkin, Nikita, et al.
Published: (2022)
Riemannian Projection-free Online Learning
by: Hu, Zihao, et al.
Published: (2023)
by: Hu, Zihao, et al.
Published: (2023)
Network Tomography with Path-Centric Graph Neural Network
by: Hu, Yuntong, et al.
Published: (2025)
by: Hu, Yuntong, et al.
Published: (2025)
Automatic Change-Point Detection in Time Series via Deep Learning
by: Li, Jie, et al.
Published: (2022)
by: Li, Jie, et al.
Published: (2022)
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
by: Xia, Peng, et al.
Published: (2026)
by: Xia, Peng, et al.
Published: (2026)
Real-time Fuel Leakage Detection via Online Change Point Detection
by: Chu, Ruimin, et al.
Published: (2024)
by: Chu, Ruimin, et al.
Published: (2024)
Quickest Causal Change Point Detection by Adaptive Intervention
by: Xu, Haijie, et al.
Published: (2025)
by: Xu, Haijie, et al.
Published: (2025)
Uncertainty Quantification for In-Context Learning of Large Language Models
by: Ling, Chen, et al.
Published: (2024)
by: Ling, Chen, et al.
Published: (2024)
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent
by: Zhao, Qiwei, et al.
Published: (2024)
by: Zhao, Qiwei, et al.
Published: (2024)
MixLLM: Dynamic Routing in Mixed Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)
by: Wang, Xinyuan, et al.
Published: (2025)
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
by: Deng, Chengyuan, et al.
Published: (2024)
by: Deng, Chengyuan, et al.
Published: (2024)
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
by: Zhang, Binchi, et al.
Published: (2025)
by: Zhang, Binchi, et al.
Published: (2025)
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Bayesian Autoregressive Online Change-Point Detection with Time-Varying Parameters
by: Tsaknaki, Ioanna-Yvonni, et al.
Published: (2024)
by: Tsaknaki, Ioanna-Yvonni, et al.
Published: (2024)
Riemannian Networks over Full-Rank Correlation Matrices
by: Chen, Ziheng, et al.
Published: (2026)
by: Chen, Ziheng, et al.
Published: (2026)
Riemannian Geometric-based Meta Learning
by: Park, JuneYoung, et al.
Published: (2025)
by: Park, JuneYoung, et al.
Published: (2025)
ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
by: Fu, Yihang, et al.
Published: (2025)
by: Fu, Yihang, et al.
Published: (2025)
Locally Private Parametric Methods for Change-Point Detection
by: Yadav, Anuj Kumar, et al.
Published: (2026)
by: Yadav, Anuj Kumar, et al.
Published: (2026)
Pi-Change: A Prior-Informed Multiple Change Point Detection Algorithm
by: Jacobs, Jonathon, et al.
Published: (2026)
by: Jacobs, Jonathon, et al.
Published: (2026)
Similar Items
-
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
by: Wang, Junxiang, et al.
Published: (2023) -
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024) -
Online Multi-modal Root Cause Identification in Microservice Systems
by: Zheng, Lecheng, et al.
Published: (2024) -
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
by: Lin, Yujie, et al.
Published: (2023) -
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
by: Li, Dong, et al.
Published: (2026)