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Research map / Probabilistic and scientific modeling / Molecules and proteins

Counterfactual and statistical explanations

Generates counterfactual and logic-based explanations and frames explainability as inference.

81 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2017–2026) · an approach in Molecules and proteins, keyword cluster “decision · machine · statistical”

State History Tried Checklist Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

31 papers in 2023–24 and 24 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic shrank, from 6.3% to 2.6%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 0162017: 4172018: 2182019: 2192020: 4202021: 11212022: 3222023: 16232024: 15242025: 15252026: 926

Most cited paper of each year

Earliest papers here

What has been tried

64 papers here report 526 measured changes (a component added, removed or swapped, compared with a baseline): helped 70%, no clear effect 8%, hurt 17%, mixed 5%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
add GP to learn and update the interaction functionMath1 · accuracy67.22 -> 67.78HelpedSymbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems (AAAI 2024 · 13 citations)
add the energy constraint to ECCCo (rather than remove the EBM term)California Housing · Unfaithfulness1.70 ± 0.09 -> 1.40 ± 0.08HelpedFaithful Model Explanations through Energy-Constrained Conformal Counterfactuals (AAAI 2024 · 10 citations)
Add physical constraints to SimFairAT1 West-East and East-Alaska · Fairness2.04 (±0.19) -> 1.89 (±0.06); 4.25 (±0.78) -> 4.45 (±0.51)HurtSimFair: Physics-Guided Fairness-Aware Learning with Simulation Models (AAAI 2024 · 5 citations)
use causal intervention P(Y|do(X)) instead of self-attention computationDS1 and DS2 lesion assessment · performanceHelpedA Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography (AAAI 2025 · 3 citations)
Add slipping modelingASSIST09 · ACC0.7140 -> 0.7367HelpedAD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis (AAAI 2025 · 2 citations)
Add JAC guidance to the creative rankerCreative ranking test set · NSCTR0.2392 -> 0.2423HelpedParallel Ranking of Ads and Creatives in Real-Time Advertising Systems (AAAI 2024 · 2 citations)
replace MHCN with current-state single-station MLP encodingNationwide terminal stations · MAE0.010±0.003 -> 0.026±0.002HurtAdaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics (AAAI 2025 · 1 citation)
Combine the amortized explanation with a Monte Carlo explanation using the optimized initial-guess weight instead of using Monte Carlo aloneUCI-Adult, UCI-News, Yelp Review, and Toxigen · MSEHelpedSelective Explanations (NeurIPS 2024 · 1 citation)
Use PEM instead of reverse diffusion for samplingN-Queens · sample qualityHelpedGeneralizable Reasoning through Compositional Energy Minimization (NeurIPS 2025 · 0 citations)
Add information injection to LeapFactualMorpho-MNIST · ACC0.9868±0.0026 -> 0.9906±0.0016HelpedLeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching (NeurIPS 2025 · 0 citations)
Increase the competition-cost weight λ₂Simulation varying λ₂ from 0.01 to 0.3 · modification costMixedCollective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics (NeurIPS 2025 · 0 citations)
Set sparsity parameter p=0.01 rather than p=2.0Adult · continuous proximity0.581 -> 0.373HelpedDiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control (NeurIPS 2025 · 0 citations)

What reviewers will expect

Datasets and baselines named in the 16 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • Adult · 2 of 16 papers
  • Bank Marketing · 2 of 16 papers
  • Lending Club · 2 of 16 papers

Baselines

  • C-CHVAE · 3 of 16 papers
  • Wachter · 2 of 16 papers
  • DiCE · 2 of 16 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 55 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 37 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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