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Showing 51–100 of 9169 papers

TitleStatusHype
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple FeaturesCode3
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price PredictionCode3
ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and ReasoningCode3
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series TransformerCode3
FilterNet: Harnessing Frequency Filters for Time Series ForecastingCode3
GIFT-Eval: A Benchmark For General Time Series Forecasting Model EvaluationCode3
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series ForecastingCode3
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K ParametersCode3
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic PatternsCode3
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection BenchmarkCode3
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series ForecastersCode3
Deep Frequency Derivative Learning for Non-stationary Time Series ForecastingCode3
Are Language Models Actually Useful for Time Series Forecasting?Code3
TSI-Bench: Benchmarking Time Series ImputationCode3
Intervention-Aware Forecasting: Breaking Historical Limits from a System PerspectiveCode3
TKAN: Temporal Kolmogorov-Arnold NetworksCode3
SparseTSF: Modeling Long-term Time Series Forecasting with 1k ParametersCode3
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series ForecastingCode3
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core FusionCode3
RF-Diffusion: Radio Signal Generation via Time-Frequency DiffusionCode3
TSLANet: Rethinking Transformers for Time Series Representation LearningCode3
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time seriesCode3
Is Mamba Effective for Time Series Forecasting?Code3
TimeMachine: A Time Series is Worth 4 Mambas for Long-term ForecastingCode3
Diffusion-TS: Interpretable Diffusion for General Time Series GenerationCode3
TOTEM: TOkenized Time Series EMbeddings for General Time Series AnalysisCode3
FNSPID: A Comprehensive Financial News Dataset in Time SeriesCode3
Deep Learning for Multivariate Time Series Imputation: A SurveyCode3
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series ForecastingCode3
AutoTimes: Autoregressive Time Series Forecasters via Large Language ModelsCode3
ModernTCN: A Modern Pure Convolution Structure for General Time Series AnalysisCode3
Universal Time-Series Representation Learning: A SurveyCode3
The Rise of Diffusion Models in Time-Series ForecastingCode3
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image RecognitionCode3
Lag-Llama: Towards Foundation Models for Probabilistic Time Series ForecastingCode3
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisCode3
Meta-Transformer: A Unified Framework for Multimodal LearningCode3
Bake off redux: a review and experimental evaluation of recent time series classification algorithmsCode3
A Survey on Causal Discovery Methods for I.I.D. and Time Series DataCode3
AER: Auto-Encoder with Regression for Time Series Anomaly DetectionCode3
Greykite: Deploying Flexible Forecasting at Scale at LinkedInCode3
Plotly-Resampler: Effective Visual Analytics for Large Time SeriesCode3
Time-series Transformer Generative Adversarial NetworksCode3
Sintel: A Machine Learning Framework to Extract Insights from SignalsCode3
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time SeriesCode3
"Hey, that's not an ODE": Faster ODE Adjoints via SeminormsCode3
Applications of Deep Neural Networks with KerasCode3
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series ForecastingCode3
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernelsCode3
GluonTS: Probabilistic Time Series Models in PythonCode3
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