ICLR 2024 accepted papers on Time series

Causal and generative time series · 19 papers

• Diffusion-TS: Interpretable Diffusion for General Time Series Generation (12 citations)
• EasyTPP: Towards Open Benchmarking Temporal Point Processes (6 citations)
• Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data (6 citations)
• Copula Conformal prediction for multi-step time series prediction (4 citations)
• TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series (2 citations)
• Contrastive Difference Predictive Coding (1 citation)
• On the Generalization and Approximation Capacities of Neural Controlled Differential Equations (1 citation)
• Parallelizing non-linear sequential models over the sequence length (1 citation)
• RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies (1 citation)
• Efficient Inverse Multiagent Learning
• Let's do the time-warp-attend: Learning topological invariants of dynamical systems
• MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

and 7 more in the interactive map.

Foundation models for time series · 18 papers

• TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (36 citations)
• TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series (20 citations)
• Learning to Embed Time Series Patches Independently (6 citations)
• Soft Contrastive Learning for Time Series (4 citations)
• Inherently Interpretable Time Series Classification via Multiple Instance Learning (2 citations)
• T-Rep: Representation Learning for Time Series using Time-Embeddings (2 citations)
• Parametric Augmentation for Time Series Contrastive Learning (1 citation)
• STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction (1 citation)
• Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach (1 citation)
• AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
• Explaining Time Series via Contrastive and Locally Sparse Perturbations
• Feature-aligned N-BEATS with Sinkhorn divergence

and 6 more in the interactive map.

Long-term forecasting · 14 papers

• iTransformer: Inverted Transformers Are Effective for Time Series Forecasting (385 citations)
• TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting (93 citations)
• Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting (37 citations)
• CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting (4 citations)
• Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators (4 citations)
• Self-Supervised Contrastive Learning for Long-term Forecasting (4 citations)
• ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
• Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
• DAM: Towards a Foundation Model for Forecasting
• GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
• Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction
• ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis

and 2 more in the interactive map.

Anomaly detection · 1 paper

• FITS: Modeling Time Series with $10k$ Parameters (17 citations)