conftrace_

time series analysis

217 papers

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Also known as

TSA

Co-occurring keywords · papers mentioning both

time series (57) anomaly detection (19) causal inference (17) representation learning (16) bayesian inference (16) change point detection (12) large language model (12) multimodal learning (11) gaussian process (10) time series forecasting (10)

Papers

StanceMining: An open-source stance detection library supporting time-series and visualization IJCNLP 2025 TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025 TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025 Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025 Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era IJCAI 2025 Training-free LLM-generated Text Detection by Mining Token Probability Sequences ICLR 2025 TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation ICLR 2025 Who leads? Who follows? Temporal dynamics of political dogwhistles in Swedish online communities ACL 2025 Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NeurIPS 2024 Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 Amortized Equation Discovery in Hybrid Dynamical Systems ICML 2024 An Online Bootstrap for Time Series AISTATS 2024 Are Language Models Actually Useful for Time Series Forecasting? NeurIPS 2024 Causal Contrastive Learning for Counterfactual Regression Over Time NeurIPS 2024 CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series AAAI 2024 Conditioning non-linear and infinite-dimensional diffusion processes NeurIPS 2024 Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024 Empowering Time Series Analysis with Large Language Models: A Survey IJCAI 2024 Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark EMNLP 2024 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities NeurIPS 2024 Inference of Neural Dynamics Using Switching Recurrent Neural Networks NeurIPS 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Large Language Models for Time Series: A Survey IJCAI 2024