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Foundation Multivariat |
TimesNet |
Olivia |
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density |
None |
ICML 2026 |
Foundation Multivariat |
TimesNet |
Time-PEFT |
Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models |
None |
ICML 2026 |
Foundation Multivariat |
TimesNet |
|
Universal Redundancies in Time Series Foundation Models |
Code
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ICML 2026 |
LLM Reasoning |
TimesNet |
VeriTime |
Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning |
None |
ICML 2026 |
LLM Medical |
HAR-CoT Sleep-CoT ECG-QA MIMIC |
OpenTSLM |
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data |
Code
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ICML 2026 |
LLM Benchmark |
Health TS |
HEARTS |
HEARTS: Benchmarking LLM Reasoning on Health Time Series |
Code
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ICML 2026 |
| Position |
TimesNet |
|
Position: Time-Series Foundation Models Require Explicit Domain-Level Benchmarks |
None |
ICML 2026 |
Foundation Benchmark |
ZTF |
StarEmbed |
StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars |
Code
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ICML 2026 |
| Physiological |
MIMIC PhysioNet |
|
Self-Supervised Dynamical System Representations for Physiological Time-Series |
Code
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ICML 2026 |
Dataset Condensat |
TimesNet |
|
One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis |
None |
ICML 2026 |
Foundation Multivariat |
TimesNet |
Zeus |
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis |
None |
ICML 2026 |
Dataset Multimodal |
TelecomTS |
|
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis |
Code
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ICML 2026 |
Multimodal Alignment |
TimesNet |
|
Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces |
None |
ICML 2026 |
| Multivariat |
TimesNet |
L-Drive |
L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
ConFlux |
ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence |
None |
ICML 2026 |
| Multivariat |
TimesNet |
PESD-TSF |
PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting |
None |
ICML 2026 |
| Multivariat |
TimesNet |
|
Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting |
None |
ICML 2026 |
| Benchmark |
TimesNet |
TIME |
It’s TIME: Towards the Next Generation of Time Series Forecasting Benchmarks |
Code
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ICML 2026 |
Robust Multivariat |
TimesNet |
DropoutTS |
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
|
Time-series forecasting through the lens of dynamics |
Code
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ICML 2026 |
Weather Benchmark |
WEATHER-5K |
|
Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting |
Code
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ICML 2026 |
Efficient Multivariat |
TimesNet |
BPE |
Byte Pair Encoding for Efficient Time Series Forecasting |
None |
ICML 2026 |
Backdoor Defense |
TimesNet |
TimeGuard |
TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting |
Code
 |
ICML 2026 |
| Counterfac |
TimesNet |
|
What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions |
None |
ICML 2026 |
| Distillation |
TimesNet |
|
Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation |
None |
ICML 2026 |
Foundation Multivariat |
TimesNet |
|
Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting |
None |
ICML 2026 |
| Multivariat |
TimesNet |
|
Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting |
None |
ICML 2026 |
Source-Free Multivariat |
TimesNet |
TimePD |
Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
FIPN |
FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting |
None |
ICML 2026 |
| Multivariat |
TimesNet |
DMANet |
Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting |
Code
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ICML 2026 |
Non-stationary Multivariat |
TimesNet |
DSENet |
DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting |
None |
ICML 2026 |
| Multivariat |
TimesNet |
Crisp |
Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting |
None |
ICML 2026 |
| Analysis |
TimesNet |
|
Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
KITE |
KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables |
None |
ICML 2026 |
LLM Multivariat |
TimesNet |
TsLLM |
TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction |
None |
ICML 2026 |
| Multivariat |
TimesNet |
ReNF |
ReNF: Rethinking the Principles of Neural Long-Term Time Series Forecasters |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
|
Reviving Error Correction in Modern Deep Time-Series Forecasting |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
MemCast |
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning |
Code
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ICML 2026 |
Adversarial Multivariat |
TimesNet |
TSFAdv |
TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting |
None |
ICML 2026 |
Non-stationary Multivariat |
TimesNet |
Dynamic TMoE |
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
Fern |
Ellipsoidal Time Series Forecasting |
None |
ICML 2026 |
Generative Multivariat |
TimesNet |
CoGenCast |
CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
StretchTime |
StretchTime: Adaptive Time Series Forecasting via Symplectic Attention |
None |
ICML 2026 |
Robust Multivariat |
TimesNet |
|
Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment |
None |
ICML 2026 |
| Analysis |
TimesNet |
CombiTS |
CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models |
Code
 |
ICML 2026 |
Foundation Multivariat |
TimesNet |
|
See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling |
Code
 |
ICML 2026 |
Robust Multivariat |
TimesNet |
TameR |
Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context |
Code
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ICML 2026 |
| Multivariat |
TimesNet |
KineFlow |
KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting |
None |
ICML 2026 |
| Multivariat |
TimesNet |
LatentTSF |
From Observations to States: Latent Time Series Forecasting |
Code
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ICML 2026 |
Foundation Multivariat |
TimesNet |
Baguan-TS |
Baguan-TS: dual in-context learning model for time series forecasting with covariates |
None |
ICML 2026 |
| Position |
TimesNet |
|
Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting |
Code
 |
ICML 2026 |
LLM Multivariat |
TimesNet |
TimeMRA |
TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations |
None |
ICML 2026 |
Multimodal Evaluation |
TimesNet |
|
Rethinking Multimodal Time-Series Forecasting Evaluation |
None |
ICML 2026 |
Irregular Multivariat |
TimesNet |
TFMixer |
Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting |
None |
ICML 2026 |
| Multivariat |
TimesNet |
DAG |
DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables |
Code
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ICML 2026 |
Robust Multivariat |
TimesNet |
SEER |
SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement |
None |
ICML 2026 |
| Multivariat |
TimesNet |
TimeSeed |
TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables |
None |
ICML 2026 |
| Multivariat |
TimesNet |
|
Information Geometry Loss for Time Series Forecasting |
None |
ICML 2026 |
| Multivariat |
TimesNet |
KUMA |
KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting |
None |
ICML 2026 |
Scaling Multivariat |
TimesNet |
|
Revealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate Forecasting |
None |
ICML 2026 |
Non-stationary Multivariat |
TimesNet |
PULSE |
PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting |
Code
 |
ICML 2026 |
Diffusion Multivariat |
TimesNet |
|
Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting |
None |
ICML 2026 |
Irregular Medical |
MIMIC |
MoRGEN |
MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data |
None |
ICML 2026 |
| Multivariat |
TimesNet |
MixLinear |
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with Parameters |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
CoRA |
CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
PHAT |
PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
Numerion |
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting |
None |
ICLR 2026 |
| Multivariat |
TimesNet |
COSA |
COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
CPiRi |
CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting |
Code
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ICLR 2026 |
| Multivariat |
TimesNet |
GTR |
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
TimeAli |
Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling |
Code
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ICLR 2026 |
| Multivariat |
TimesNet |
GCGNet |
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting |
None |
ICLR 2026 |
| Multivariat |
TimesNet |
MMPD |
MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss |
Code
 |
ICLR 2026 |
Robust Multivariat |
TimesNet |
|
Local Geometry Attention for Time Series Forecasting under Realistic Corruptions |
Code
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ICLR 2026 |
| Multivariat |
TimesNet |
FACT |
FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting |
Code
 |
ICLR 2026 |
Foundation Multivariat |
|
Aurora |
Aurora: Towards Universal Generative Multimodal Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
The Forecast After the Forecast: A Post-Processing Shift in Time Series |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
ADAPT-Z |
Online time series prediction using feature adjustment |
Code
 |
ICLR 2026 |
Robust Multivariat |
ETT Weather EPA-Air |
CTF |
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
xCPD |
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition |
Code
 |
ICLR 2026 |
Irregular Multivariat |
|
ASTGI |
ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting |
Code
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ICLR 2026 |
| Multivariat |
TimesNet |
ProtoTS |
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
PhaseFormer |
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting |
Code
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ICLR 2026 |
Irregular Multivariat |
|
ReIMTS |
Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting |
Code
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ICLR 2026 |
| Multivariat |
TimesNet |
|
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
SE-LLM |
Semantic-Enhanced Time-Series Forecasting via Large Language Models |
Code
 |
ICLR 2026 |
| Analysis |
TimesNet |
TimeRecipe |
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
ShifTS |
Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
QDF |
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
DistDF |
DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment |
Code
 |
ICLR 2026 |
| Traffic |
NGSIM HighD |
|
Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction |
None |
ICLR 2026 |
Evolve Traffic |
METR-LA PEMS |
STBP |
A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting |
Code
 |
ICLR 2026 |
| Analysis |
TimesNet |
|
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
UniCA |
UniCA: Unified Covariate Adaptation for Time Series Foundation Model |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
TimeOmni-1 |
TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
|
Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
|
Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models |
Code
 |
ICLR 2026 |
FL Foundation |
TimesNet |
FeDaL |
FeDaL: Federated Dataset Learning for General Time Series Foundation Models |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
SwiftTS |
SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
SFF |
Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
GTM |
GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
|
Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis |
Code
 |
ICLR 2026 |
| Multivariat |
TimesNet |
AutoDA |
AutoDA-Timeseries: Automated Data Augmentation for Time Series |
Code
 |
ICLR 2026 |
Foundation Multivariat |
TimesNet |
TS-Memory |
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models |
Code
 |
KDD 2026 |
| Multivariat |
|
|
Eliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
CCD |
CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
STM3 |
STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
CAST-Norm |
CAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
RePatch |
RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting |
Code
 |
KDD 2026 |
| Traffic |
LargeST |
STUNet |
Unified Spatio-Temporal Tokens are Bases for Generalizable Traffic Forecasting |
Code
 |
KDD 2026 |
| Traffic |
PEMS |
HURST |
HURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-Experts |
None |
KDD 2026 |
| Multivariat |
TimesNet |
SARAF |
Stationarity-Aware Retrieval-Augmented Time Series Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
TS-MTM |
TS-MTM: Temporal-Spectral Masked Time-Series Modeling for Forecasting |
Code
 |
KDD 2026 |
| Traffic |
PEMS |
|
Beyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic Prediction |
Code
 |
KDD 2026 |
| Multivariat |
|
|
Orbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal Graph |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
|
One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data |
None |
KDD 2026 |
| Multivariat |
|
GODM |
GODM: Graph Orthogonal Diffusion Models for Spatio-Temporal Forecasting |
Code |
KDD 2026 |
| Multivariat |
TimesNet |
FAiT |
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting |
Code |
KDD 2026 |
| Multivariat |
|
|
Invariant Structure Learning with Pre-trained Language Models for Spatio-temporal Graph |
Code
 |
KDD 2026 |
| Traffic |
NYC Washington DC Chicago |
FreMo |
Frequency-Domain Multi-Modality Transportation Modeling |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
PatchCLE |
PatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive Learning |
Code
 |
KDD 2026 |
Foundation Multivariat |
TimesNet |
MEMTS |
MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models |
None |
KDD 2026 |
| Multivariat |
TimesNet |
|
Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting |
Code
 |
KDD 2026 |
| Traffic |
PeMSD4 PeMSD8 FT-AED HK-Traffic |
FedTT |
FedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge Transfer |
Code |
KDD 2026 |
| Multivariat |
TimesNet |
|
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
|
Efficient Test-Time Scaling for LLM-based Time Series Forecasting |
Code
 |
KDD 2026 |
Domain Forecasting |
TimesNet |
Aura |
Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series |
None |
KDD 2026 |
Foundation Multivariat |
EpiRecipe US disease surveillance |
CAPE |
Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
DSPR |
DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting |
None |
KDD 2026 |
Domain Forecasting |
|
|
Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction |
Code
 |
KDD 2026 |
Foundation Multivariat |
Meteorology Carbon flux Soil moisture Energy grid |
Guard |
When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting |
Code
 |
KDD 2026 |
Foundation Multivariat |
|
UrbanFM |
UrbanFM: Scaling Urban Spatio-Temporal Foundation Models |
None |
KDD 2026 |
| Traffic |
CHITaxi WSHTaxi CHIBike PeMS |
CSSG |
CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity |
Code
 |
KDD 2026 |
| Traffic |
PEMS |
MoST |
MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction |
Code |
KDD 2026 |
| Multivariat |
|
FaST |
FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts |
Code
 |
KDD 2026 |
| Traffic |
PEMS |
|
Incident-Guided Spatiotemporal Traffic Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
TimeDistill |
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
LoFT-LLM |
LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
|
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements |
None |
KDD 2026 |
| Multivariat |
TimesNet |
|
How to Train Your Mamba for Time Series Forecasting |
None |
KDD 2026 |
| Traffic |
PEMS |
|
Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting |
Code
 |
KDD 2026 |
| Multivariat |
TimesNet |
|
From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting |
Code
 |
KDD 2026 |
| Traffic |
PEMS |
ChannelMTS |
ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction |
None |
KDD 2026 |
Foundation Multivariat |
|
|
Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model |
None |
WWW 2026 |
| Multivariat |
TimesNet |
|
Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models |
None |
WWW 2026 |
| Multivariat |
TimesNet |
|
Automated Model Selection for Multivariate Time Series Forecasting |
None |
WWW 2026 |
| Multivariat |
TimesNet |
GFMixer |
GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting |
Code
 |
WWW 2026 |
| Multivariat |
TimesNet |
CRAFT |
Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective |
None |
WWW 2026 |
| Multivariat |
TimesNet |
DynaME |
Dynamic Multi-period Experts for Online Time Series Forecasting |
Code
 |
WWW 2026 |
| Multivariat |
TimesNet |
Re-Diffusion |
[Re-Diffusion: Modeling Latent Residuals wi |
|
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