Causal Interpretability

Momentum

6 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 69

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  1. Binary Spiking Neural Networks as Causal Models

    Apr 29, 2026Aditya Kar, Emiliano Lorini, Timothée MasquelierStructural Causal ModelsBinary Neural Networks

  2. Psychologically-Grounded Graph Modeling for Interpretable Depression Detection

    Apr 27, 2026Rishitej Reddy Vyalla, Kritarth Prasad, Avinash Anand +4Depression DetectionDynamic Graph Learning

  3. Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction

    Apr 24, 2026Luca Cotti, Luca Lavazza, Marco Cominelli +10Representation LearningHuman Activity Recognition

  4. Dissociating Decodability and Causal Use in Bracket-Sequence Transformers

    Apr 24, 2026Aryan Sharma, Cutter Dawes, Shivam RavalTransformer InterpretabilitySelf-Attention

  5. Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury

    Apr 22, 2026Weizhi Nie, Haolin ChenCausal InterpretabilityLongitudinal EHR Modeling

  6. Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

    Apr 20, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeTime-Series Causal DiscoveryCausal Interpretability

  7. Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models

    Feb 3, 2026Anish Sathyanarayanan, Aditya Nagarsekar, Aarush RathoreCoT FaithfulnessFaithfulness of Language Model Explanations

  8. Causal Explanations for Image Classifiers

    Nov 13, 2024Hana Chockler, David A. Kelly, Daniel Kroening +1Actual CausalityExplainable Image Classification