mlsanityData to 14 Oct 2026

OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories

arXiv 2508.21570 ↗First posted 29 Aug 2025cs.LGcited by 1

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Abstract (arXiv)

Ocean salinity plays a vital role in circulation, climate, and marine ecosystems, yet its measurement is often sparse, irregular, and noisy, especially in drifter-based datasets. Traditional approaches, such as remote sensing and optimal interpolation, rely on linearity and stationarity, and are limited by cloud cover, sensor drift, and low satellite revisit rates. While machine learning models offer flexibility, they often fail under severe sparsity and lack principled ways to incorporate physical covariates without specialized sensors. In this paper, we introduce the OceAn Salinity Imputation System (OASIS), a novel diffusion adversarial framework designed to address these challenges.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 54 references that are in the map. First posted on arXiv 29 Aug 2025.

Builds on

12 of 54 references.

References · 12

  1. 2019Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Prunedcited by 856
  2. 2019Theoretical Limitations of Self-Attention in Neural Sequence Modelscited by 288
  3. 2023Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Datacited by 71
  4. 2022Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modelingcited by 33
  5. 2023Transformed Distribution Matching for Missing Value Imputationcited by 31
  6. 2023GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labelscited by 17
  7. 2024Self-Supervision Improves Diffusion Models for Tabular Data Imputationcited by 16
  8. 2020PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Datacited by 15
  9. 2019HexaGAN: Generative Adversarial Nets for Real World Classificationcited by 10
  10. 2023Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version)cited by 6
  11. 2020Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networkscited by 4
  12. 2020Extended Missing Data Imputation via GANs for Ranking Applicationscited by 2

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Test-time GNN Model Evaluation on Dynamic Graphscited by 1