Cover Image

Knowledge-Guided Time-Varying Causal Inference for Arctic Sea Ice Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sampath, Akila, Janeja, Vandana, Wang, Jianwu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics-Encoded Inverse Modeling for Arctic Snow Depth Prediction
by: Sampath, Akila, et al.
Published: (2026)

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction
by: Hossain, Emam, et al.
Published: (2025)

Attention-Guided Deep Adversarial Temporal Subspace Clustering (A-DATSC) Model for multivariate spatiotemporal data
by: Nji, Francis Ndikum, et al.
Published: (2025)

Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods
by: Ali, Sahara, et al.
Published: (2024)

B-TGAT: A Bi-directional Temporal Graph Attention Transformer for Clustering Multivariate Spatiotemporal Data
by: Nji, Francis Ndikum, et al.
Published: (2025)

Modeling Heterogeneity across Varying Spatial Extents: Discovering Linkages between Sea Ice Retreat and Ice Shelve Melt in the Antarctic
by: Devnath, Maloy Kumar, et al.
Published: (2025)

Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
by: Ali, Sahara, et al.
Published: (2024)

TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data
by: Faruque, Omar, et al.
Published: (2026)

Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model
by: Wang, Wei, et al.
Published: (2025)

Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
by: Cheng, Debo, et al.
Published: (2024)

On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
by: Fang, Zhuangyan, et al.
Published: (2022)

A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics
by: Wang, Jiahao, et al.
Published: (2024)

Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data
by: Nji, Francis Ndikum, et al.
Published: (2024)

TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling
by: Sun, Yifei, et al.
Published: (2025)

Advancing climate model interpretability: Feature attribution for Arctic melt anomalies
by: Ale, Tolulope, et al.
Published: (2025)

Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
by: Liu, Meiliang, et al.
Published: (2025)

Deconfounded Time Series Forecasting: A Causal Inference Approach
by: Gao, Wentao, et al.
Published: (2024)

Dynamic Expert-Guided Model Averaging for Causal Discovery
by: Tench, Adrick, et al.
Published: (2026)

Prediction of Sea Ice Velocity and Concentration in the Arctic Ocean using Physics-informed Neural Network
by: Koo, Younghyun, et al.
Published: (2025)

Deep Learning-based Group Causal Inference in Multivariate Time-series
by: Ahmad, Wasim, et al.
Published: (2024)

BACON: A fully explainable AI model with graded logic for decision making problems
by: Bai, Haishi, et al.
Published: (2025)

Experience-Guided Adaptation of Inference-Time Reasoning Strategies
by: Stein, Adam, et al.
Published: (2025)

Individual Causal Inference with Structural Causal Model
by: Chang, Daniel T.
Published: (2025)

From Causal Discovery to Dynamic Causal Inference in Neural Time Series
by: Zaytsev, Dmitry, et al.
Published: (2026)

Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
by: Xu, Jie, et al.
Published: (2025)

Local Causal Discovery for Statistically Efficient Causal Inference
by: Schubert, Mátyás, et al.
Published: (2025)

Exploratory Causal Inference in SAEnce
by: Mencattini, Tommaso, et al.
Published: (2025)

A Practical Approach to Causal Inference over Time
by: Cinquini, Martina, et al.
Published: (2024)

Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration
by: Gooya, Parsa, et al.
Published: (2025)

Entropic Causal Inference: Graph Identifiability
by: Compton, Spencer, et al.
Published: (2025)

Dynamic Search for Inference-Time Alignment in Diffusion Models
by: Li, Xiner, et al.
Published: (2025)

CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
by: Xiao, Xiaofeng, et al.
Published: (2026)

GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
by: Handa, Divij, et al.
Published: (2025)

Reliable Audio Deepfake Detection in Variable Conditions via Quantum-Kernel SVMs
by: Amin, Lisan Al, et al.
Published: (2025)

CausalTAD: Injecting Causal Knowledge into Large Language Models for Tabular Anomaly Detection
by: Wang, Ruiqi, et al.
Published: (2026)

Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)

Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022)

TempOpt -- Unsupervised Alarm Relation Learning for Telecommunication Networks
by: Sampath, Sathiyanaryanan, et al.
Published: (2025)

Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
by: Liu, Chen, et al.
Published: (2024)

IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
by: Xu, Jingyi, et al.
Published: (2026)