[ICML 2026] DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
☆52May 15, 2026Updated 5 months ago
Alternatives and similar repositories for DAG
Users that are interested in DAG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2026] GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables☆27Mar 10, 2026Updated 7 months ago
- [ICML 2026] SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement☆12May 12, 2026Updated 5 months ago
- [IJCAI 2026] Official implementation of "EventTSF: Event-Aware Non-Stationary Time Series Forecasting"☆22Jul 20, 2026Updated 3 months ago
- official implementation for "Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models"☆13Nov 28, 2025Updated 11 months ago
- [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting☆60Jul 31, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆24Mar 23, 2026Updated 7 months ago
- [AAAI 2026 Oral] Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline☆67Apr 22, 2026Updated 6 months ago
- [AAAI 2026] Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing☆49Jan 27, 2026Updated 9 months ago
- [ICLR 2026] Aurora: Towards Universal Generative Multimodal Time Series Forecasting☆80Apr 29, 2026Updated 6 months ago
- [NeurIPS 2025 Spotlight] Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective☆66Jan 6, 2026Updated 9 months ago
- Expert Systems with Applications (ESWA - JCR Q1, SCI Q1)☆13Jul 19, 2025Updated last year
- [IJCAI 2026] A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective☆51Jan 19, 2026Updated 9 months ago
- Time Series Transformer for Crop Modeling☆23Sep 27, 2026Updated last month
- Official implementation of MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss (ICLR 2026).☆18Apr 3, 2026Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆21Feb 26, 2024Updated 2 years ago
- [KDD 2025 Most Influential Paper] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting☆299May 12, 2026Updated 5 months ago
- ☆58Mar 10, 2026Updated 7 months ago
- Official implement for "UniCA: Unified Covariate Adaptation for Time Series Foundation Model"(ICLR'26) in PyTorch.☆26Sep 8, 2025Updated last year
- [ICML 2026] Official PyTorch implementation of From Observations to States: Latent Time Series Forecasting☆41May 23, 2026Updated 5 months ago
- PyTorch Implementation of "Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting" (ICLR 2026)☆31Jun 10, 2026Updated 4 months ago
- [NeurIPS 2025] DBLoss: Decomposition-based Loss Function for Time Series Forecasting☆46Mar 12, 2026Updated 7 months ago
- [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching☆208Dec 30, 2025Updated 10 months ago
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Nov 22, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆51Aug 6, 2025Updated last year
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆18Jul 19, 2024Updated 2 years ago
- [AAAI 2026] Official repository of the EMAformer paper: "EMAformer: Enhancing Transformer through Embedding Armor for Time Series Forecas…☆42Dec 3, 2025Updated 10 months ago
- [PVLDB 2025] TAB: Unified Benchmarking of Time Series Anomaly Detection Methods☆146Nov 26, 2025Updated 11 months ago
- DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting☆16Jan 29, 2026Updated 9 months ago
- [ICML'25] Diversifying Policy Behaviors via Extrinsic Behavioral Curiosity☆14Oct 28, 2025Updated last year
- This is code for SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting (WWW 2026). SEMixer ca…☆16Jun 26, 2026Updated 4 months ago
- [PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods☆1,763Oct 8, 2026Updated 3 weeks ago
- [ICML 2026] ReNF:RETHINKING THE DESIGN OF NEURAL LONG-TERM TIME SERIES FORECASTERS☆16Jul 16, 2026Updated 3 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting (ICLR 2026)☆24Aug 13, 2026Updated 2 months ago
- Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)☆526Nov 27, 2024Updated last year
- Energy Scenario Evaluation Dataset and Benchmark (Energy-EVA)☆19Jul 2, 2026Updated 4 months ago
- Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)☆16Feb 28, 2025Updated last year
- ☆271Aug 14, 2024Updated 2 years ago
- [ICML 2025] Official repository of the TQNet paper: "Temporal Query Network for Efficient Multivariate Time Series Forecasting". This wor…☆124May 6, 2026Updated 5 months ago
- [PUT ICML 2025] Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting☆21May 30, 2025Updated last year