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  1. Home
  2. Signal Canvas
  3. Towards plausibility in time series counterfactual explanati
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Towards plausibility in time series counterfactual explanations

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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 27

Proof: no_code

Distribution: unknown

Source paper: Towards plausibility in time series counterfactual explanations

PDF: https://arxiv.org/pdf/2603.08349v1

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-19T18:48:05.835633+00:00

Starting…

Dimensions overall score 7.0

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Keep exploring

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What-If Explanations Over Time: Counterfactuals for Time Series Classification
Score 5.0down
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GALACTIC: Global and Local Agnostic Counterfactuals for Time-series Clustering
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CoDCL: Counterfactual Data Augmentation Contrastive Learning for Continuous-Time Dynamic Network Link Prediction
Score 6.0down
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On the Definition and Detection of Cherry-Picking in Counterfactual Explanations
Score 3.0down
Prior Work
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
Score 7.0stable
Prior Work
AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
Score 7.0stable
Higher Viability
DISCOVER: A Solver for Distributional Counterfactual Explanations
Score 8.0up
Competing Approach
L2GTX: From Local to Global Time Series Explanations
Score 4.0down

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