Luca Costabello | DeepAI

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Featured Co-authors

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∙ 12/16/2022

Robust Explanation Constraints for Neural Networks

Post-hoc explanation methods are used with the intent of providing insig...

0 Matthew Wicker, et al. ∙

∙ 12/05/2022

Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples

We study the problem of explaining link predictions in the Knowledge Gra...

0 Adrianna Janik, et al. ∙

∙ 11/17/2022

Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients

Background: Stratifying cancer patients according to risk of relapse can...

0 Adrianna Janik, et al. ∙

∙ 11/11/2021

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns

We study the problem of generating data poisoning attacks against Knowle...

0 Peru Bhardwaj, et al. ∙

∙ 11/04/2021

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods

Despite the widespread use of Knowledge Graph Embeddings (KGE), little i...

0 Peru Bhardwaj, et al. ∙

∙ 05/18/2021

Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes

Numeric values associated to edges of a knowledge graph have been used t...

0 Sumit Pai, et al. ∙

∙ 03/16/2021

Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties

Counterfactual explanations (CEs) are a practical tool for demonstrating...

10 Lisa Schut, et al. ∙

∙ 06/25/2020

Background Knowledge Injection for Interpretable Sequence Classification

Sequence classification is the supervised learning task of building mode...

0 Severin Gsponer, et al. ∙

∙ 04/30/2020

Knowledge Graph Embeddings and Explainable AI

Knowledge graph embeddings are now a widely adopted approach to knowledg...

52 Federico Bianchi, et al. ∙

∙ 12/20/2019

Probability Calibration for Knowledge Graph Embedding Models

Knowledge graph embedding research has overlooked the problem of probabi...

0 Pedro Tabacof, et al. ∙

∙ 11/13/2018

Interpretable Credit Application Predictions With Counterfactual Explanations

We predict credit applications with off-the-shelf, interchangeable black...

0 Rory Mc Grath, et al. ∙

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