 Clairvoyance: A Pipeline Toolkit for Medical Time SeriesInternational Conference on Learning Representations (ICLR), 2023 |
 A Uniform Language to Explain Decision TreesInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2023 |
 Dynamic Top-k Estimation Consolidates Disagreement between Feature
Attribution MethodsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Pixel-Grounded Prototypical Part NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 |
 Formally Explaining Neural Networks within Reactive SystemsFormal Methods in Computer-Aided Design (FMCAD), 2023 |
 Faithfulness Tests for Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 On Computing Probabilistic Abductive ExplanationsInternational Journal of Approximate Reasoning (IJAR), 2022 |
 Towards Formal XAI: Formally Approximate Minimal Explanations of Neural
NetworksInternational Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS), 2022 |
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 Eliminating The Impossible, Whatever Remains Must Be TrueAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 On Tackling Explanation Redundancy in Decision TreesJournal of Artificial Intelligence Research (JAIR), 2022 |
 Towards a consistent interpretation of AIOps modelsACM Transactions on Software Engineering and Methodology (TOSEM), 2022 |
 Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial
ContextsConference on Fairness, Accountability and Transparency (FAccT), 2022 |
 "Will You Find These Shortcuts?" A Protocol for Evaluating the
Faithfulness of Input Salience Methods for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Knowledge-Grounded Self-Rationalization via Extractive and Natural
Language ExplanationsInternational Conference on Machine Learning (ICML), 2021 |
 Prompting Contrastive Explanations for Commonsense Reasoning TasksFindings (Findings), 2021 |
 On Efficiently Explaining Graph-Based ClassifiersInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2021 |
 SAT-Based Rigorous Explanations for Decision ListsInternational Conference on Theory and Applications of Satisfiability Testing (SAT), 2021 |
 To what extent do human explanations of model behavior align with actual
model behavior?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020 |
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 Reliable Post hoc Explanations: Modeling Uncertainty in ExplainabilityNeural Information Processing Systems (NeurIPS), 2020 |
 NILE : Natural Language Inference with Faithful Natural Language
ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Evaluating and Aggregating Feature-based Model ExplanationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 |
 Towards Faithfully Interpretable NLP Systems: How should we define and
evaluate faithfulness?Annual Meeting of the Association for Computational Linguistics (ACL), 2020 |
