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Time Series Analysis

25 papers

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Papers

Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting ACL 2026
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting AAAI 2025
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction AAAI 2025
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition AAAI 2025
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NIPS 2024
Identifying Spatio-Temporal Drivers of Extreme Events NIPS 2024
Mapping ‘when’-clauses in Latin American and Caribbean languages: an experiment in subtoken-based typology NAACL 2024
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting NIPS 2023
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NIPS 2023
Deep Latent State Space Models for Time-Series Generation ICML 2023
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NIPS 2022
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance AAAI 2022
Probabilistic Transformer For Time Series Analysis NIPS 2021
Spatio-Temporal Variational Gaussian Processes NIPS 2021
Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021
Differentiable Algorithm for Marginalising Changepoints AAAI 2020
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory AAAI 2020
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NIPS 2019
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting AAAI 2019
Gaussian Process Volatility Model NIPS 2014
Dynamic Rank Factor Model for Text Streams NIPS 2014
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS 2013