Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:13:52.804970Z
Paper Citation Record · LEDGER
An Explainable Gaussian Process Auto-encoder for Tabular Data
As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2509.00884.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
60 of 60 outbound references displayed
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- verified fuzzy36
- unresolved15
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0063f5ec-245f-4758-95ef-814eff5ceddd · outbound
This paper cites Neural additive models: Interpretable machine learning with neural nets.
An Explainable Gaussian Process Auto-encoder for Tabular Data Neural additive models: Interpretable machine learning with neural nets
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 9a86b789-01ab-40f3-9de0-9583a2f32b35 · outbound
This paper cites The inverse classification problem.
An Explainable Gaussian Process Auto-encoder for Tabular Data The inverse classification problem
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation e8df7d92-bd14-4632-8999-34d8e04084ea · outbound
This paper cites Variational autoencoder based anomaly detection using reconstruction probability.
An Explainable Gaussian Process Auto-encoder for Tabular Data Variational autoencoder based anomaly detection using reconstruction probability
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f9ac33d2-9e5c-408a-b5f7-6f45b4544027 · outbound
This paper cites Getting a CLUE: A Method for Explaining Uncertainty Estimates.
An Explainable Gaussian Process Auto-encoder for Tabular Data Getting a CLUE: A Method for Explaining Uncertainty Estimates
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation fea17614-45b3-48a2-bd20-8cb13b8af2c8 · outbound
This paper cites NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning.
An Explainable Gaussian Process Auto-encoder for Tabular Data NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dad463b-72ed-4975-9f4e-6b0f7e2cf5d9 · outbound
This paper cites Kernel methods for deep learning.
An Explainable Gaussian Process Auto-encoder for Tabular Data Kernel methods for deep learning
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f17e24ca-dc81-478a-9136-f6f990af1026 · outbound
This paper cites Deep gaussian processes.
An Explainable Gaussian Process Auto-encoder for Tabular Data Deep gaussian processes
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 64a89fe9-0d7c-4f6f-9876-489435d49eb4 · outbound
This paper cites Multi-Objective Counterfactual Explanations.
An Explainable Gaussian Process Auto-encoder for Tabular Data Multi-Objective Counterfactual Explanations
Reference 8
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1c2da4f5-4f55-42bb-bbbc-9c3e425e46e6 · outbound
This paper cites Explanations based on the missing: Towards contrastive explanations with pertinent negatives.
An Explainable Gaussian Process Auto-encoder for Tabular Data Explanations based on the missing: Towards contrastive explanations with pertinent negatives
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 10f225cb-da9d-44e1-89ba-86c913020101 · outbound
This paper cites Model Agnostic Contrastive Explanations for Structured Data.
An Explainable Gaussian Process Auto-encoder for Tabular Data Model Agnostic Contrastive Explanations for Structured Data
Reference 10
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ebdfd9cc-6845-4f90-b859-b905c1f7853f · outbound
This paper cites Cruds: Counterfactual recourse using disentangled subspaces.
An Explainable Gaussian Process Auto-encoder for Tabular Data Cruds: Counterfactual recourse using disentangled subspaces
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac842bbd-3762-4bdb-b78e-aef28fba9dbd · outbound
This paper cites Random forest explainability using counterfactual sets.
An Explainable Gaussian Process Auto-encoder for Tabular Data Random forest explainability using counterfactual sets
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4780b406-6bd8-4fd9-a7f2-d007e53aae88 · outbound
This paper cites Gener- ative adversarial nets.
An Explainable Gaussian Process Auto-encoder for Tabular Data Gener- ative adversarial nets
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5f2d2460-0461-4037-b843-106419ae5c65 · outbound
This paper cites Interpretable Credit Application Predictions With Counterfactual Explanations.
An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable Credit Application Predictions With Counterfactual Explanations
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 36018db9-c151-4959-8c6b-0473f01e6eda · outbound
This paper cites Local Rule-Based Explanations of Black Box Decision Systems.
An Explainable Gaussian Process Auto-encoder for Tabular Data Local Rule-Based Explanations of Black Box Decision Systems
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f4ad382-5856-4990-934b-85ab245eca8d · outbound
This paper cites Rocoursenet: Robust training of a prediction aware recourse model.
An Explainable Gaussian Process Auto-encoder for Tabular Data Rocoursenet: Robust training of a prediction aware recourse model
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f21bbf0-c38e-4bfa-8e6f-32f0074e4969 · outbound
This paper cites Counternet: End- to-end training of prediction aware counterfactual explanations.
An Explainable Gaussian Process Auto-encoder for Tabular Data Counternet: End- to-end training of prediction aware counterfactual explanations
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b437531e-ab59-49ea-8c22-3a8add5456b6 · outbound
This paper cites Global explanations of neural networks.
An Explainable Gaussian Process Auto-encoder for Tabular Data Global explanations of neural networks
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d6a847ab-d31a-4394-be9b-79ff35b786a0 · outbound
This paper cites Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems.
An Explainable Gaussian Process Auto-encoder for Tabular Data Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5271d439-3834-41df-906d-bdfaf53bde16 · outbound
This paper cites Dace: Distribution-aware counterfactual explanation by mixed-integer linear optimization.
An Explainable Gaussian Process Auto-encoder for Tabular Data Dace: Distribution-aware counterfactual explanation by mixed-integer linear optimization
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 59e47b5d-d999-4df7-8348-348460dbadd4 · outbound
This paper cites Model-agnostic counterfactual explanations for consequential decisions.
An Explainable Gaussian Process Auto-encoder for Tabular Data Model-agnostic counterfactual explanations for consequential decisions
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a66ae56a-0276-4974-86d7-3dcd422c4c56 · outbound
This paper cites Algorithmic Recourse: from Counterfactual Explanations to Interventions.
An Explainable Gaussian Process Auto-encoder for Tabular Data Algorithmic Recourse: from Counterfactual Explanations to Interventions
Reference 22
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c5b573f2-3bd3-4283-acc4-1e72df6e3551 · outbound
This paper cites Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI).
An Explainable Gaussian Process Auto-encoder for Tabular Data Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe7f8d5e-91c5-42ca-9671-7b32640f6494 · outbound
This paper cites Auto-Encoding Variational Bayes.
An Explainable Gaussian Process Auto-encoder for Tabular Data Auto-Encoding Variational Bayes
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb1b2127-6267-475b-a4df-22ee85db4af4 · outbound
This paper cites Improved variational inference with inverse autore- gressive flow.
An Explainable Gaussian Process Auto-encoder for Tabular Data Improved variational inference with inverse autore- gressive flow
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e82d84e1-f859-4794-9ab3-b6327506c09e · outbound
This paper cites Gram- mar variational autoencoder.
An Explainable Gaussian Process Auto-encoder for Tabular Data Gram- mar variational autoencoder
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6fe67ce3-903c-4353-8077-772d268e73bd · outbound
This paper cites Generalized inverse classification.
An Explainable Gaussian Process Auto-encoder for Tabular Data Generalized inverse classification
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3eb2f564-5796-494e-8b68-fe8cf04a9f66 · outbound
This paper cites Comparison-based inverse classification for interpretability in machine learning.
An Explainable Gaussian Process Auto-encoder for Tabular Data Comparison-based inverse classification for interpretability in machine learning
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 30e8038c-11fd-47df-af3b-40c7fc3c1dcc · outbound
This paper cites Supervised autoencoders: Improving generalization performance with unsupervised regularizers.
An Explainable Gaussian Process Auto-encoder for Tabular Data Supervised autoencoders: Improving generalization performance with unsupervised regularizers
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f49aa896-d9b3-4ea3-bd6d-e3aaf0d40d2e · outbound
This paper cites Deep Neural Networks as Gaussian Processes.
An Explainable Gaussian Process Auto-encoder for Tabular Data Deep Neural Networks as Gaussian Processes
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20e9b457-f528-438b-bab5-68c772471a53 · outbound
This paper cites FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles.
An Explainable Gaussian Process Auto-encoder for Tabular Data FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
Reference 31
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9fb60697-4c1d-48ea-92b2-90ff29f0f952 · outbound
This paper cites Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers.
An Explainable Gaussian Process Auto-encoder for Tabular Data Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42b481bd-6eec-41d4-92e0-4e152388c015 · outbound
This paper cites Explaining machine learning classifiers through diverse counterfactual explanations.
An Explainable Gaussian Process Auto-encoder for Tabular Data Explaining machine learning classifiers through diverse counterfactual explanations
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c74ff86-cbfa-4eed-b180-361ac5bd4879 · outbound
This paper cites Bayesian learning for neural networks , volume 118.
An Explainable Gaussian Process Auto-encoder for Tabular Data Bayesian learning for neural networks , volume 118
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ce2a5d7-439b-4fc2-844a-a355baf385a1 · outbound
This paper cites CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets.
An Explainable Gaussian Process Auto-encoder for Tabular Data CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 551706ce-bd7c-4a9e-93b2-01ae060b69a6 · outbound
This paper cites Learning model-agnostic counterfactual explanations for tabular data.
An Explainable Gaussian Process Auto-encoder for Tabular Data Learning model-agnostic counterfactual explanations for tabular data
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 97bd66f0-22bf-46f3-a103-55df19230da1 · outbound
This paper cites CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms.
An Explainable Gaussian Process Auto-encoder for Tabular Data CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bce29226-1d87-4127-9f52-5675e0640d8f · outbound
This paper cites Causality.
An Explainable Gaussian Process Auto-encoder for Tabular Data Causality
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fb918b0-329c-42a9-890f-b60e08d02fea · outbound
This paper cites Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data.
An Explainable Gaussian Process Auto-encoder for Tabular Data Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db6a72fc-c338-4da8-8878-74b5ae60148e · outbound
This paper cites Face: feasible and actionable counterfactual explanations.
An Explainable Gaussian Process Auto-encoder for Tabular Data Face: feasible and actionable counterfactual explanations
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ee2f6a15-b367-48ab-a6a2-e8ee1b6ac50b · outbound
This paper cites Variational Autoencoder for Deep Learning of Images, Labels and Captions.
An Explainable Gaussian Process Auto-encoder for Tabular Data Variational Autoencoder for Deep Learning of Images, Labels and Captions
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 279667f4-18a7-4fe9-9beb-460f694620e1 · outbound
This paper cites Neural basis models for interpretability.
An Explainable Gaussian Process Auto-encoder for Tabular Data Neural basis models for interpretability
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe4ec005-6936-4f3f-8bab-f4c7cf364cec · outbound
This paper cites Random features for large-scale kernel machines.
An Explainable Gaussian Process Auto-encoder for Tabular Data Random features for large-scale kernel machines
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dd61c379-25c5-448a-9aa2-5a5b9154622a · outbound
This paper cites Generating Counterfactual and Contrastive Explanations using SHAP.
An Explainable Gaussian Process Auto-encoder for Tabular Data Generating Counterfactual and Contrastive Explanations using SHAP
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:13:53.254636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation efa92703-3e64-49b5-baaa-c62c051b2efd · outbound
This paper cites ”why should i trust you?” explaining the predictions of any classifier.
An Explainable Gaussian Process Auto-encoder for Tabular Data ”why should i trust you?” explaining the predictions of any classifier
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:56.374139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation afec15a4-764b-4077-93e0-c35e7822313b · outbound
This paper cites Efficient search for diverse coherent explanations.
An Explainable Gaussian Process Auto-encoder for Tabular Data Efficient search for diverse coherent explanations
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:56.166741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 37ebc941-bc3b-4334-889e-9c680c1d4963 · outbound
This paper cites Explaingan: Model explanation via decision boundary crossing transformations.
An Explainable Gaussian Process Auto-encoder for Tabular Data Explaingan: Model explanation via decision boundary crossing transformations
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:56.023598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9292681e-9df9-40a3-9c31-f4601bf07c8e · outbound
This paper cites CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models.
An Explainable Gaussian Process Auto-encoder for Tabular Data CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df1901b7-4b8f-47dc-983b-d33a5e804191 · outbound
This paper cites Learning important features through propagating activation differences.
An Explainable Gaussian Process Auto-encoder for Tabular Data Learning important features through propagating activation differences
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:55.874309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f0d58995-9615-40b7-9ad8-7d6942fbeb34 · outbound
This paper cites Axiomatic attribution for deep networks.
An Explainable Gaussian Process Auto-encoder for Tabular Data Axiomatic attribution for deep networks
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:55.731585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 70812764-f576-41c8-91a5-b9d0c9b91196 · outbound
This paper cites Variational learning of inducing variables in sparse gaussian processes.
An Explainable Gaussian Process Auto-encoder for Tabular Data Variational learning of inducing variables in sparse gaussian processes
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:55.578940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 22da850a-875f-4951-a96c-7c592dcccf28 · outbound
This paper cites Interpretable predictions of tree-based ensembles via actionable feature tweaking.
An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable predictions of tree-based ensembles via actionable feature tweaking
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:55.428669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b812cad0-614f-4ba6-a753-d0a960e45ae5 · outbound
This paper cites Actionable recourse in linear classification.
An Explainable Gaussian Process Auto-encoder for Tabular Data Actionable recourse in linear classification
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:55.277025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6d54236d-ca3c-4ca2-94ae-469dd0615d76 · outbound
This paper cites Interpretable Counterfactual Explanations Guided by Prototypes.
An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable Counterfactual Explanations Guided by Prototypes
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:13:53.111991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 50c86c2b-93e7-4a96-9f70-06dd035119f2 · outbound
This paper cites Interpretable counterfactual explanations guided by prototypes.
An Explainable Gaussian Process Auto-encoder for Tabular Data Interpretable counterfactual explanations guided by prototypes
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:55.105073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b8b10f60-b074-4256-a2bd-6eab4b944fd9 · outbound
This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr.
An Explainable Gaussian Process Auto-encoder for Tabular Data Counterfactual explanations without opening the black box: Automated decisions and the gdpr
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:54.926320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 42e0487e-65f9-4bd4-9ecf-c46e48025334 · outbound
This paper cites Measurable Counterfactual Local Explanations for Any Classifier.
An Explainable Gaussian Process Auto-encoder for Tabular Data Measurable Counterfactual Local Explanations for Any Classifier
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:13:52.961364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e52d673a-5a75-4219-ba51-f2a72832ce2b · outbound
This paper cites Deep bayesian nonparametric tracking.
An Explainable Gaussian Process Auto-encoder for Tabular Data Deep bayesian nonparametric tracking
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:54.754868Z
Source-reported events for the cited work
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Observation b02cb11d-4e86-41a1-b8b8-83064572e9e1 · outbound
This paper cites An interpretable deep clas- sifier for counterfactual generation.
An Explainable Gaussian Process Auto-encoder for Tabular Data An interpretable deep clas- sifier for counterfactual generation
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:54.590309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a8226b3e-79d8-4b3d-8f05-932df68f6fae · outbound
This paper cites Gaussian process neural additive models.
An Explainable Gaussian Process Auto-encoder for Tabular Data Gaussian process neural additive models
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:13:54.400952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.