CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Lu, Jiecheng, Di, Jieqi, Wu, Runhua, Zhou, Yuwei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
In-context Time Series Predictor
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2026)
by: Hou, Yaxin, et al.
Published: (2026)
StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
by: Kim, Yubin, et al.
Published: (2026)
by: Kim, Yubin, et al.
Published: (2026)
Distributed Dynamic Invariant Causal Prediction in Environmental Time Series
by: Hao, Ziruo, et al.
Published: (2026)
by: Hao, Ziruo, et al.
Published: (2026)
QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting
by: Marchisio, Alberto, et al.
Published: (2026)
by: Marchisio, Alberto, et al.
Published: (2026)
CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting
by: Pati, Viresh, et al.
Published: (2026)
by: Pati, Viresh, et al.
Published: (2026)
Beyond Similarity: Temporal Operator Attention for Time Series Analysis
by: Twitty, Jevon, et al.
Published: (2026)
by: Twitty, Jevon, et al.
Published: (2026)
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
by: Lu, Jiecheng, et al.
Published: (2025)
by: Lu, Jiecheng, et al.
Published: (2025)
Function-Valued Causal Influence in Nonlinear Time Series
by: Kuskova, Valentina V., et al.
Published: (2026)
by: Kuskova, Valentina V., et al.
Published: (2026)
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
by: Lu, Jiecheng, et al.
Published: (2023)
by: Lu, Jiecheng, et al.
Published: (2023)
HyperMLP: An Integrated Perspective for Sequence Modeling
by: Lu, Jiecheng, et al.
Published: (2026)
by: Lu, Jiecheng, et al.
Published: (2026)
Free Energy Mixer
by: Lu, Jiecheng, et al.
Published: (2026)
by: Lu, Jiecheng, et al.
Published: (2026)
Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
by: Mussard, Romain, et al.
Published: (2025)
by: Mussard, Romain, et al.
Published: (2025)
Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift
by: Hossain, Emam, et al.
Published: (2025)
by: Hossain, Emam, et al.
Published: (2025)
AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
by: Wang, Rui, et al.
Published: (2026)
by: Wang, Rui, et al.
Published: (2026)
CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma
by: Yang, Everest, et al.
Published: (2025)
by: Yang, Everest, et al.
Published: (2025)
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
by: Zhang, Daokun, et al.
Published: (2024)
by: Zhang, Daokun, et al.
Published: (2024)
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
by: Jing, Baoyu, et al.
Published: (2024)
by: Jing, Baoyu, et al.
Published: (2024)
Robot Policy Learning with Temporal Optimal Transport Reward
by: Fu, Yuwei, et al.
Published: (2024)
by: Fu, Yuwei, et al.
Published: (2024)
Adaptive Classification of Interval-Valued Time Series
by: Tian, Wan, et al.
Published: (2025)
by: Tian, Wan, et al.
Published: (2025)
Causal Discovery for Irregularly Time Series with Consistency Guarantees
by: Li, Weihong, et al.
Published: (2025)
by: Li, Weihong, et al.
Published: (2025)
Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions
by: Okita, Tsuyoshi
Published: (2026)
by: Okita, Tsuyoshi
Published: (2026)
Targeted Regularization for Causal Effect Estimation with Exponential Dispersion Family Outcomes
by: Li, Jiahong, et al.
Published: (2025)
by: Li, Jiahong, et al.
Published: (2025)
CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios
by: Yi, Huiyang, et al.
Published: (2026)
by: Yi, Huiyang, et al.
Published: (2026)
Efficient Causal Discovery for Autoregressive Time Series
by: Fesanghary, Mohammad, et al.
Published: (2025)
by: Fesanghary, Mohammad, et al.
Published: (2025)
Causal Time Series Generation via Diffusion Models
by: Xia, Yutong, et al.
Published: (2025)
by: Xia, Yutong, et al.
Published: (2025)
Causal Discovery from Conditionally Stationary Time Series
by: Balsells-Rodas, Carles, et al.
Published: (2021)
by: Balsells-Rodas, Carles, et al.
Published: (2021)
SpaceTime: Causal Discovery from Non-Stationary Time Series
by: Mameche, Sarah, et al.
Published: (2025)
by: Mameche, Sarah, et al.
Published: (2025)
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Causal Identification in Time Series Models
by: Jahn, Erik, et al.
Published: (2025)
by: Jahn, Erik, et al.
Published: (2025)
Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection
by: Khosravinia, Pooyan, et al.
Published: (2026)
by: Khosravinia, Pooyan, et al.
Published: (2026)
Caformer: Rethinking Time Series Analysis from Causal Perspective
by: Zhang, Kexuan, et al.
Published: (2024)
by: Zhang, Kexuan, et al.
Published: (2024)
MotifDisco: Motif Causal Discovery For Time Series Motifs
by: Lamp, Josephine, et al.
Published: (2024)
by: Lamp, Josephine, et al.
Published: (2024)
Causality-Inspired Safe Residual Correction for Multivariate Time Series
by: Xie, Jianxiang, et al.
Published: (2025)
by: Xie, Jianxiang, et al.
Published: (2025)
Interventional Time Series Priors for Causal Foundation Models
by: Thumm, Dennis, et al.
Published: (2026)
by: Thumm, Dennis, et al.
Published: (2026)
Algorithmic Recourse in Abnormal Multivariate Time Series
by: Han, Xiao, et al.
Published: (2023)
by: Han, Xiao, et al.
Published: (2023)
Neural Likelihood Approximation for Integer Valued Time Series Data
by: O'Loughlin, Luke, et al.
Published: (2023)
by: O'Loughlin, Luke, et al.
Published: (2023)
Simplex Deep Linear Discriminant Analysis
by: Tezekbayev, Maxat, et al.
Published: (2026)
by: Tezekbayev, Maxat, et al.
Published: (2026)
Similar Items
-
In-context Time Series Predictor
by: Lu, Jiecheng, et al.
Published: (2024) -
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024) -
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
by: Lu, Jiecheng, et al.
Published: (2024) -
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2026) -
StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
by: Kim, Yubin, et al.
Published: (2026)