What makes an Ensemble (Un) Interpretable? | Paper Citation Record

Observation cfcdc0dd-76d3-483f-a347-a3bb27ac618e · outbound

This paper cites The Computational Complexity of Circuit Discovery for Inner Interpretability.

What makes an Ensemble (Un) Interpretable? The Computational Complexity of Circuit Discovery for Inner Interpretability

Reference 1

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Observation 67cc18d8-8ee2-4973-9c2a-8695f809eb6b · outbound

This paper cites and Jaakkola, T.

What makes an Ensemble (Un) Interpretable? and Jaakkola, T

Reference 2

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Observation 66b4e9c3-5111-4657-8cdb-f3fe7db1cc79 · outbound

This paper cites Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation.

What makes an Ensemble (Un) Interpretable? Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation

Reference 3

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Observation e01aa0ba-52ed-4314-a10e-a7b17a58604c · outbound

This paper cites Foundations of Symbolic Languages for Model Interpretability.

What makes an Ensemble (Un) Interpretable? Foundations of Symbolic Languages for Model Interpretability

Reference 4

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Observation 6336fd67-fbc8-459c-8e30-4d04503bdb7d · outbound

This paper cites The Tractability of SHAP-Score-Based Explanations for Classification Over Deterministic and Decomposable Boolean Circuits.

What makes an Ensemble (Un) Interpretable? The Tractability of SHAP-Score-Based Explanations for Classification Over Deterministic and Decomposable Boolean Circuits

Reference 5

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Observation 4c57f806-a49e-4ede-b8dc-3693afa1f18c · outbound

This paper cites On Computing Probabilistic Explanations for Decision Trees.

What makes an Ensemble (Un) Interpretable? On Computing Probabilistic Explanations for Decision Trees

Reference 6

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Observation 37941b6c-9581-47cb-8aa6-87b329b7fa76 · outbound

This paper cites On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results.

What makes an Ensemble (Un) Interpretable? On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.774532Z

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Observation 7478d3a5-6a92-4a88-94ee-fe38c70de4a3 · outbound

This paper cites and Barak, B.

What makes an Ensemble (Un) Interpretable? and Barak, B

Reference 8

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Observation 8d9b17a2-675d-4eee-8f45-f2b0d0d76ffc · outbound

This paper cites On Preferred Abductive Explanations for Decision Trees and Random Forests.

What makes an Ensemble (Un) Interpretable? On Preferred Abductive Explanations for Decision Trees and Random Forests

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.782617Z

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Observation 9b8ebb45-d572-4bc6-99eb-fd89bbed5e41 · outbound

This paper cites Trading Complexity for Sparsity in Random Forest Explanations.

What makes an Ensemble (Un) Interpretable? Trading Complexity for Sparsity in Random Forest Explanations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.786810Z

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Observation 74477d8e-f556-49ae-b580-676c625f1c26 · outbound

This paper cites Computing Abductive Explanations for Boosted Trees.

What makes an Ensemble (Un) Interpretable? Computing Abductive Explanations for Boosted Trees

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.790780Z

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Observation 3b3b9dce-2471-4d18-9487-3a682510692d · outbound

This paper cites Model Interpretability through the Lens of Computational Complexity.

What makes an Ensemble (Un) Interpretable? Model Interpretability through the Lens of Computational Complexity

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.794807Z

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Observation f1bcea11-f7d0-426c-bbe9-c8aaf750fdbe · outbound

This paper cites Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations.

What makes an Ensemble (Un) Interpretable? Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:27:47.449100Z

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Observation d37bddef-a604-4774-8687-c192f7aaf78b · outbound

This paper cites and Tinelli, C.

What makes an Ensemble (Un) Interpretable? and Tinelli, C

Reference 14

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Observation 522e4d6f-c481-46d6-b6a1-45c96e044e5c · outbound

This paper cites and Katz, G.

What makes an Ensemble (Un) Interpretable? and Katz, G

Reference 15

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Observation 56a67f58-6e12-4516-b8f4-06001b5498c3 · outbound

This paper cites Formally Explaining Neural Networks Within Reactive Systems.

What makes an Ensemble (Un) Interpretable? Formally Explaining Neural Networks Within Reactive Systems

Reference 16

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Observation 55eb9b28-9f05-459a-bcec-2165094bac72 · outbound

This paper cites Local vs.

What makes an Ensemble (Un) Interpretable? Local vs

Reference 17

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Observation 935dbc85-fb30-4661-8374-19359e6825b7 · outbound

This paper cites Y., Ladner, T., Althoff, M., and Katz, G.

What makes an Ensemble (Un) Interpretable? Y., Ladner, T., Althoff, M., and Katz, G

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.597258Z

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Observation 5a55604f-6e5a-4afa-931d-45af709828c0 · outbound

This paper cites Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons.

What makes an Ensemble (Un) Interpretable? Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.584252Z

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Observation 0284e867-6172-47d3-aa61-faf0f18cb8e4 · outbound

This paper cites Self-Explaining Neural Networks for Business Process Monitoring.

What makes an Ensemble (Un) Interpretable? Self-Explaining Neural Networks for Business Process Monitoring

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.826709Z

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Observation 3157f7a6-8137-4f49-8212-0af41b6f0d6f · outbound

This paper cites Interpretable Random Forests via Rule Extraction.

What makes an Ensemble (Un) Interpretable? Interpretable Random Forests via Rule Extraction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.570367Z

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Observation 04f21810-19ec-4552-836f-8326b63b6579 · outbound

This paper cites On the Complexity of Pattern Matching for Highly Compressed Two-Dimensional Texts.

What makes an Ensemble (Un) Interpretable? On the Complexity of Pattern Matching for Highly Compressed Two-Dimensional Texts

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.553875Z

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Observation f50c9066-5f02-4cdd-bbd1-391b7b0dd183 · outbound

This paper cites and Luxburg, U.

What makes an Ensemble (Un) Interpretable? and Luxburg, U

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.538925Z

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Observation c37ec9fa-d879-4bfa-bdb7-e3dfde33cfd8 · outbound

This paper cites Provably Efficient, Succinct, and Precise Explanations.

What makes an Ensemble (Un) Interpretable? Provably Efficient, Succinct, and Precise Explanations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.524716Z

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Observation f2842762-1ff2-471e-91ce-70ef5da511fa · outbound

This paper cites A Query-Optimal Algorithm for Finding Counterfactuals.

What makes an Ensemble (Un) Interpretable? A Query-Optimal Algorithm for Finding Counterfactuals

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.509082Z

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Observation e2f20020-c88f-47f5-b8f2-ab9632775e41 · outbound

This paper cites and Koriche, F.

What makes an Ensemble (Un) Interpretable? and Koriche, F

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.491388Z

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Observation b24d6050-048a-4016-8477-434062b2f7fd · outbound

This paper cites On the Complexity of Global Necessary Reasons to Explain Classification.

What makes an Ensemble (Un) Interpretable? On the Complexity of Global Necessary Reasons to Explain Classification

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:27:47.274457Z

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Observation 0cd546bd-7182-4926-8455-8e62a7cf3521 · outbound

This paper cites What Made You Do This? Understanding Black-Box Decisions with Sufficient Input Subsets.

What makes an Ensemble (Un) Interpretable? What Made You Do This? Understanding Black-Box Decisions with Sufficient Input Subsets

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.476080Z

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Observation 637617c7-8ec4-4e4b-bec4-7916362f6bb3 · outbound

This paper cites Efficient Maximum Clique Computation Over Large Sparse Graphs.

What makes an Ensemble (Un) Interpretable? Efficient Maximum Clique Computation Over Large Sparse Graphs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.461645Z

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Observation fbd3ca37-a456-41bc-8847-643fe8aa57c5 · outbound

This paper cites Robustness Verification of Tree-Based Models.

What makes an Ensemble (Un) Interpretable? Robustness Verification of Tree-Based Models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.447789Z

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Observation 4eb99622-9a94-4f2e-8446-6be94265c865 · outbound

This paper cites Causal Explanations for Image Classifiers.

What makes an Ensemble (Un) Interpretable? Causal Explanations for Image Classifiers

Reference 31

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Observation d06751e6-352b-4f3f-a5dc-a9e8d636e578 · outbound

This paper cites an unresolved cited work.

What makes an Ensemble (Un) Interpretable? Unresolved cited work

Reference 32

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Observation a487a58c-4d07-4305-8e82-203f5af5bb5f · outbound

This paper cites Parameterized Algorithms , volume 5.

What makes an Ensemble (Un) Interpretable? Parameterized Algorithms , volume 5

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.412756Z

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Observation fe21a548-4964-4175-84ae-b0770e2f5177 · outbound

This paper cites and Hirth, A.

What makes an Ensemble (Un) Interpretable? and Hirth, A

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.394383Z

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Observation 31b395f4-ef77-4bf2-930a-ae29e0a8cbfa · outbound

This paper cites and Ji, C.

What makes an Ensemble (Un) Interpretable? and Ji, C

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.378028Z

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Observation 3fdf1c52-e297-435a-a9bd-6a62fdbf3b82 · outbound

This paper cites and Marquis, P.

What makes an Ensemble (Un) Interpretable? and Marquis, P

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.363065Z

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Observation 47db18d7-d9cd-453d-a02f-13e9a37743ab · outbound

This paper cites Parameterized Complexity Results for the Kemeny Rule in Judgment Aggregation.

What makes an Ensemble (Un) Interpretable? Parameterized Complexity Results for the Kemeny Rule in Judgment Aggregation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.347199Z

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Observation fcd30374-ec71-4d29-ba8f-fe886cfd5ad6 · outbound

This paper cites Parameterized Complexity in the Polynomial Hierarchy.

What makes an Ensemble (Un) Interpretable? Parameterized Complexity in the Polynomial Hierarchy

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.330987Z

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Observation ec887764-6894-4033-94dc-9af123964cf0 · outbound

This paper cites and Szeider, S.

What makes an Ensemble (Un) Interpretable? and Szeider, S

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.314022Z

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Observation 47608fb0-6e01-4a58-8d01-b21677434bab · outbound

This paper cites Explanations Based on the Missing: Towards Contrastive Explanations with Pertinent Negatives.

What makes an Ensemble (Un) Interpretable? Explanations Based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.299111Z

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Observation ba129fac-7334-4b60-80c7-7d7a29fe2132 · outbound

This paper cites Improved Inapproximability Factors for Some p , 2009.

What makes an Ensemble (Un) Interpretable? Improved Inapproximability Factors for Some p , 2009

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.284040Z

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Observation 84923437-a797-480b-b543-654553868bba · outbound

This paper cites A Survey on Ensemble Learning.

What makes an Ensemble (Un) Interpretable? A Survey on Ensemble Learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.269748Z

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Observation e138e923-26a6-4759-92d1-7d1d6997907b · outbound

This paper cites and Fellows, M.

What makes an Ensemble (Un) Interpretable? and Fellows, M

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.254852Z

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Observation 6887b132-13fb-4dd9-87b0-6874c8fd19ee · outbound

This paper cites and Grohe, M.

What makes an Ensemble (Un) Interpretable? and Grohe, M

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.236325Z

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Observation e706704c-108e-4c0b-b12a-c161e0c1debc · outbound

This paper cites and Grohe, M.

What makes an Ensemble (Un) Interpretable? and Grohe, M

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.221080Z

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Observation 9b877c9a-7324-409e-8c7a-5940c754a8c1 · outbound

This paper cites and Rubin, S.

What makes an Ensemble (Un) Interpretable? and Rubin, S

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.203713Z

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Observation 4ebb0501-a772-4caf-b44e-0372946d32a6 · outbound

This paper cites Counterfactual Explanations and how to find them: Literature Review and Benchmarking.

What makes an Ensemble (Un) Interpretable? Counterfactual Explanations and how to find them: Literature Review and Benchmarking

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.188943Z

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Observation 17e5877c-ddca-47a8-92aa-f07525088f83 · outbound

This paper cites A Survey of Methods for Explaining Black Box Models.

What makes an Ensemble (Un) Interpretable? A Survey of Methods for Explaining Black Box Models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.173627Z

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Observation f6397a57-107c-42ce-ab82-e6eed78becd6 · outbound

This paper cites and Hayashi, K.

What makes an Ensemble (Un) Interpretable? and Hayashi, K

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.157173Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41b4b88f-620f-473d-a65e-4a810565e5da · outbound

This paper cites and Marques-Silva, J.

What makes an Ensemble (Un) Interpretable? and Marques-Silva, J

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.140388Z

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Observation ce5c718d-39da-48e9-a13b-825bdd1f1354 · outbound

This paper cites On Efficiently Explaining Graph-Based Classifiers.

What makes an Ensemble (Un) Interpretable? On Efficiently Explaining Graph-Based Classifiers

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.125260Z

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Observation 850814d1-9927-453d-bd49-bdd14b0e5097 · outbound

This paper cites Feature Necessity & Relevancy in ML Classifier Explanations.

What makes an Ensemble (Un) Interpretable? Feature Necessity & Relevancy in ML Classifier Explanations

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.108199Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d726552-c9f0-4b0a-a6a5-8226bd28efc5 · outbound

This paper cites Abduction-Based Explanations for Machine Learning Models.

What makes an Ensemble (Un) Interpretable? Abduction-Based Explanations for Machine Learning Models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.093048Z

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Observation c51fdb7c-955f-40cf-bea9-956876de0996 · outbound

This paper cites On Relating Explanations and Adversarial Examples.

What makes an Ensemble (Un) Interpretable? On Relating Explanations and Adversarial Examples

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.075633Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66778cb1-4be5-4c45-a4bc-30c2592543e6 · outbound

This paper cites On Validating, Repairing and Refining Heuristic ML Explanations.

What makes an Ensemble (Un) Interpretable? On Validating, Repairing and Refining Heuristic ML Explanations

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.967596Z

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Observation d60d84d7-1d9a-4d79-b066-d483fb8f9492 · outbound

This paper cites Towards Formal Fairness in Machine Learning.

What makes an Ensemble (Un) Interpretable? Towards Formal Fairness in Machine Learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.058667Z

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Observation 39eb85a4-170f-4f70-bc65-df278ec9a279 · outbound

This paper cites From Contrastive to Abductive Explanations and Back Again.

What makes an Ensemble (Un) Interpretable? From Contrastive to Abductive Explanations and Back Again

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.041640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9c8f9e58-6ac5-4878-b570-b2c6cbda60e3 · outbound

This paper cites J., and Marques-Silva, J.

What makes an Ensemble (Un) Interpretable? J., and Marques-Silva, J

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.024545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eaf651d3-bd6a-4d06-ac66-cc08b0e94798 · outbound

This paper cites and Marques-Silva, J.

What makes an Ensemble (Un) Interpretable? and Marques-Silva, J

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:48.009701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d89befd-b284-4a41-b738-1d81f9745b45 · outbound

This paper cites Efficient Explanations With Relevant Sets.

What makes an Ensemble (Un) Interpretable? Efficient Explanations With Relevant Sets

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.987236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d1d35a-f07e-46bf-b221-43a281e7be4e · outbound

This paper cites On Computing Probabilistic Abductive Explanations.

What makes an Ensemble (Un) Interpretable? On Computing Probabilistic Abductive Explanations

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.994965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0e6c2496-7dfb-42c1-84e6-a4b199391d54 · outbound

This paper cites Distance-Restricted Explanations: Theoretical Underpinnings & Efficient implementation.

What makes an Ensemble (Un) Interpretable? Distance-Restricted Explanations: Theoretical Underpinnings & Efficient implementation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.979406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5d70f29-5988-478b-972e-dd4c44625015 · outbound

This paper cites Probabilistic Stability Guarantees for Feature Attributions.

What makes an Ensemble (Un) Interpretable? Probabilistic Stability Guarantees for Feature Attributions

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:46.999720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1e02d5-1e2b-4fbd-8dc9-4e2aaaae40e6 · outbound

This paper cites L., Julian, K., and Kochenderfer, M.

What makes an Ensemble (Un) Interpretable? L., Julian, K., and Kochenderfer, M

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.965153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 63708e45-7266-4af3-b08b-59e4b58cb02f · outbound

This paper cites Deep interpretable ensembles.

What makes an Ensemble (Un) Interpretable? Deep interpretable ensembles

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:47.007667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60846a3e-5b75-4798-a798-9e29ba36f726 · outbound

This paper cites On Guaranteed Optimal Robust Explanations for NLP Models.

What makes an Ensemble (Un) Interpretable? On Guaranteed Optimal Robust Explanations for NLP Models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.950091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d525a711-0795-4f48-8499-9aaff021e722 · outbound

This paper cites and Lee, S.-I.

What makes an Ensemble (Un) Interpretable? and Lee, S.-I

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.932634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f7831189-af3e-489c-b025-5af0fd711b48 · outbound

This paper cites and Ignatiev, A.

What makes an Ensemble (Un) Interpretable? and Ignatiev, A

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.917566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0640c62-f1d8-4e07-a170-aca257471d12 · outbound

This paper cites Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay.

What makes an Ensemble (Un) Interpretable? Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.901081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 988245ba-cd6b-4c4e-98f8-24f594191ce4 · outbound

This paper cites C., Ignatiev, A., and Narodytska, N.

What makes an Ensemble (Un) Interpretable? C., Ignatiev, A., and Narodytska, N

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.886907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 523203d3-9743-455c-91a7-c65bfd1a6fee · outbound

This paper cites and De La Higuera, C.

What makes an Ensemble (Un) Interpretable? and De La Higuera, C

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.871016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8442d077-2f29-443b-a63f-9bf05d6dbd76 · outbound

This paper cites On the Computational Tractability of the (Many) Shapley Values.

What makes an Ensemble (Un) Interpretable? On the Computational Tractability of the (Many) Shapley Values

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.856730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5526e91-44dc-4682-a1a1-3f9b3c3c0208 · outbound

This paper cites Chaff: Engineering an efficient SAT solver.

What makes an Ensemble (Un) Interpretable? Chaff: Engineering an efficient SAT solver

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.841973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b39aa08-3ac3-4796-80a2-a1a81cfd352e · outbound

This paper cites The Parameterized Complexity of Finding Concise Local Explanations.

What makes an Ensemble (Un) Interpretable? The Parameterized Complexity of Finding Concise Local Explanations

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.823913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 32bf11a9-940e-49d0-98f7-dfd086119c7f · outbound

This paper cites Explaining Decisions in ML Models: A Parameterized Complexity Analysis.

What makes an Ensemble (Un) Interpretable? Explaining Decisions in ML Models: A Parameterized Complexity Analysis

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.808880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a072edb7-40f0-460c-97b4-b712644d7882 · outbound

This paper cites and Vidal, T.

What makes an Ensemble (Un) Interpretable? and Vidal, T

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.792248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89fbe43a-cd2d-45f8-9530-ea49d10662dd · outbound

This paper cites Anchors: High-Precision Model-Agnostic Explanations.

What makes an Ensemble (Un) Interpretable? Anchors: High-Precision Model-Agnostic Explanations

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.773957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d65330f-83e5-4b5b-a319-0aaa9a3e08b4 · outbound

This paper cites Interpretable machine learning: Fundamental principles and 10 grand challenges.

What makes an Ensemble (Un) Interpretable? Interpretable machine learning: Fundamental principles and 10 grand challenges

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.758634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f275c333-eb52-4427-8937-783afe18b083 · outbound

This paper cites and Rokach, L.

What makes an Ensemble (Un) Interpretable? and Rokach, L

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.742609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1e85bf7-8041-4e25-9515-70d71f8ac159 · outbound

This paper cites and Rokach, L.

What makes an Ensemble (Un) Interpretable? and Rokach, L

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.724560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1319e4a1-bea9-4e6c-84e9-9c404ae8efb8 · outbound

This paper cites and Lange, M.

What makes an Ensemble (Un) Interpretable? and Lange, M

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.709179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d0a1e05-4d11-43af-9415-8c1ff6ecd491 · outbound

This paper cites and Umans, C.

What makes an Ensemble (Un) Interpretable? and Umans, C

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.694494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b54fb5ca-fe6c-450d-9a4b-0507862bc64c · outbound

This paper cites Probabilistic Explanations for Linear Models.

What makes an Ensemble (Un) Interpretable? Probabilistic Explanations for Linear Models

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.678172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 847144e9-c091-49c2-ab2f-864cc6f8a42d · outbound

This paper cites and Najmi, A.

What makes an Ensemble (Un) Interpretable? and Najmi, A

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.662256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35ee16fb-9e6e-409e-94e6-1498af2e41a9 · outbound

This paper cites The Minimum Equivalent DNF Problem and Shortest Implicants.

What makes an Ensemble (Un) Interpretable? The Minimum Equivalent DNF Problem and Shortest Implicants

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.647025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3142e347-bd4b-4680-a3d8-7a461a0f3087 · outbound

This paper cites The Complexity of Enumeration and Reliability Problems.

What makes an Ensemble (Un) Interpretable? The Complexity of Enumeration and Reliability Problems

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.631387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 786560e9-55eb-4072-8c7b-e1f6269ecf54 · outbound

This paper cites On the Tractability of SHAP Explanations.

What makes an Ensemble (Un) Interpretable? On the Tractability of SHAP Explanations

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.614491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc37d812-5607-48f5-9818-4c135b007fb1 · outbound

This paper cites Efficient Algorithms for Clique Problems.

What makes an Ensemble (Un) Interpretable? Efficient Algorithms for Clique Problems

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.597334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3a5c64b-78b4-4c88-bc2a-ea7dd7f8e181 · outbound

This paper cites The Computational Complexity of Understanding Binary Classifier Decisions.

What makes an Ensemble (Un) Interpretable? The Computational Complexity of Understanding Binary Classifier Decisions

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.579846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eae89af3-3f4f-4fa6-bf13-b8226e4908fe · outbound

This paper cites Probabilistic Sufficient Explanations.

What makes an Ensemble (Un) Interpretable? Probabilistic Sufficient Explanations

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.563265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcae1fd2-95af-4cbc-9104-350cdcc406c2 · outbound

This paper cites an unresolved cited work.

What makes an Ensemble (Un) Interpretable? Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:47.545027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ea5f7d2-0c42-42ab-9d29-2347a5d20f44 · outbound

This paper cites Marabou 2.0: A Versatile Formal Analyzer of Neural Networks.

What makes an Ensemble (Un) Interpretable? Marabou 2.0: A Versatile Formal Analyzer of Neural Networks

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.528956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e18781d3-a606-44b1-a1ee-daf32fd7b4c8 · outbound

This paper cites Verix: Towards Verified Explainability of Deep Neural Networks.

What makes an Ensemble (Un) Interpretable? Verix: Towards Verified Explainability of Deep Neural Networks

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.511475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c2eda3e-4ba2-495d-babc-f35174b11859 · outbound

This paper cites Stability Guarantees for Feature Attributions with Multiplicative Smoothing.

What makes an Ensemble (Un) Interpretable? Stability Guarantees for Feature Attributions with Multiplicative Smoothing

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.491564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4115b93f-c39a-453a-b813-6fbf6345cae6 · outbound

This paper cites J., Narodytska, N., and Marques-Silva, J.

What makes an Ensemble (Un) Interpretable? J., Narodytska, N., and Marques-Silva, J

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:47.475515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 084bd829-397e-45c4-a91d-36ad22c77051 · outbound

This paper cites write newline.

What makes an Ensemble (Un) Interpretable? write newline

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:47.164647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers