repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
amazon-science/chronos-forecasting
Chronos: Pretrained Models for Time Series Forecasting
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 51%How Good Can Linear Models Be for Time-Series Forecasting? →
- PossiblePossibly related (embedding) · 45%TiRex-2: Generalizing TiRex to Multivariate Data and Streaming →
- FuzzySimilar title/name (fuzzy) · 59%QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networks →
“Fuzzy title match (0.73): “QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimoda” ≈ “amazon-science/chronos-forecasting””
- FuzzySimilar title/name (fuzzy) · 59%GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting →
“Fuzzy title match (0.73): “GatedLinear: Adaptive Routing of Complementary Linear Bases ” ≈ “amazon-science/chronos-forecasting””
- FuzzySimilar title/name (fuzzy) · 59%Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty →
“Fuzzy title match (0.73): “Learning-based Probabilistic Load Forecasting with Post-hoc ” ≈ “amazon-science/chronos-forecasting””
- FuzzySimilar title/name (fuzzy) · 59%Extreme Adaptive Transformer for Time Series Forecasting →
“Fuzzy title match (0.73): “Extreme Adaptive Transformer for Time Series Forecasting” ≈ “amazon-science/chronos-forecasting””
- FuzzySimilar title/name (fuzzy) · 59%Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis →
“Fuzzy title match (0.73): “Robustness of Deep Learning Models for PV Power Forecasting ” ≈ “amazon-science/chronos-forecasting””
- FuzzySimilar title/name (fuzzy) · 59%The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting →
“Fuzzy title match (0.73): “The Spectrum Is Not Enough: When Context Helps Time-Series F” ≈ “amazon-science/chronos-forecasting””
Implements
paperHow Good Can Linear Models Be for Time-Series Forecasting?paperTiRex-2: Generalizing TiRex to Multivariate Data and StreamingpaperQuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC NetworkspaperGatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series ForecastingpaperLearning-based Probabilistic Load Forecasting with Post-hoc and In-model UncertaintypaperExtreme Adaptive Transformer for Time Series ForecastingpaperRobustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable AnalysispaperThe Spectrum Is Not Enough: When Context Helps Time-Series ForecastingpaperWhen Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated MarketspaperBehaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load ForecastingpaperPhysics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation ForecastingpaperFourier Geometric Wind Power Forecasting with Numerical Weather PredictionpaperTowards Metric-Agnostic Trajectory ForecastingpaperDefensive Boosting for Online Probabilistic ForecastingpaperIntervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology
Implements (incoming)
Covers (incoming)
Related across the graph
paperPhysics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation ForecastingpaperQuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC NetworksnewsBest machine learning development companies for time series forecasting (2026) - PC Tech MagazinepaperGatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series ForecastingpaperFourier Geometric Wind Power Forecasting with Numerical Weather PredictionpaperTiRex-2: Generalizing TiRex to Multivariate Data and StreamingpaperExtreme Adaptive Transformer for Time Series ForecastingpaperLearning-based Probabilistic Load Forecasting with Post-hoc and In-model UncertaintypaperTowards Metric-Agnostic Trajectory ForecastingpaperBehaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load ForecastingpaperThe Spectrum Is Not Enough: When Context Helps Time-Series ForecastingpaperDefensive Boosting for Online Probabilistic ForecastingpaperWhen Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated MarketspaperBet on Features: Anytime-Valid and Feature-Aware Auditing of Conditional Quantile ForecasterspaperHow Good Can Linear Models Be for Time-Series Forecasting?paperSelf-Gating Attention for Efficient Time Series ForecastingpaperRobustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable AnalysispaperIntervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology