conftrace_

time series forecasting

364 papers

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Also known as

TSF

Co-occurring keywords

multivariate time series (139) deep learning (2118) attention mechanism (4001) large language model (13587) time series (435) graph neural network (3962) probabilistic forecasting (45) representation learning (6206) neural network (6616) transformer architecture (1560)

Papers

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026

FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026

Predicting the Future by Retrieving the Past AAAI 2026

Supervised Dynamic Dimension Reduction with Deep Neural Network AAAI 2026

Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting AAAI 2026

Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026

APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026

TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding AAAI 2026

Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026

Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026

HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026

IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? AAAI 2026

Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks AAAI 2026

Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026

Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies AAAI 2026

FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026

HMformer: Unleashing Transformer’s Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling AAAI 2026

STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting AAAI 2026

Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception AAAI 2026

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning AAAI 2026

ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting AAAI 2026

CometNet: Contextual Motif-guided Long-term Time Series Forecasting AAAI 2026