Oral "anomaly detection" Papers
13 papers found
Conference
3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks
Xiaotang Gai, Jiaxiang Liu, Yichen Li et al.
NEURIPS 2025oralarXiv:2506.11147
4
citations
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
Gideon Stein, Maha Shadaydeh, Jan Blunk et al.
ICLR 2025oralarXiv:2503.17452
7
citations
NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
Cosmin Bercea, Jun Li, Philipp Raffler et al.
NEURIPS 2025oral
7
citations
Selective Learning for Deep Time Series Forecasting
Yisong Fu, Zezhi Shao, Chengqing Yu et al.
NEURIPS 2025oralarXiv:2510.25207
2
citations
Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
Jinyu Cai, Yuan Xie, Glynnis Lim et al.
NEURIPS 2025oral
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
Dongchan Cho, Jiho Han, Keumyeong Kang et al.
NEURIPS 2025oralarXiv:2510.16511
1
citations
The Temporal Graph of Bitcoin Transactions
Vahid Jalili
NEURIPS 2025oralarXiv:2510.20028
TimeInf: Time Series Data Contribution via Influence Functions
Yizi Zhang, Jingyan Shen, Xiaoxue Xiong et al.
ICLR 2025oralarXiv:2407.15247
2
citations
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang, Jiawei LI, Xiaoming Shi et al.
ICLR 2025oralarXiv:2410.16032
93
citations
Explain Temporal Black-Box Models via Functional Decomposition
Linxiao Yang, Yunze Tong, Xinyue Gu et al.
ICML 2024oral
Soft Contrastive Learning for Time Series
Seunghan Lee, Taeyoung Park, Kibok Lee
ICLR 2024oralarXiv:2312.16424
52
citations
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen et al.
ICML 2024oralarXiv:2404.08472
127
citations
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
Yunhao Zhang, Liu Minghao, Shengyang Zhou et al.
ICML 2024oral