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04/11/2023
CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs
Rule-based surrogate models are an effective and interpretable way to ap...
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01/25/2023
Towards Robust Metrics for Concept Representation Evaluation
Recent work on interpretability has focused on concept-based explanation...
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09/19/2022
Concept Embedding Models
Deploying AI-powered systems requires trustworthy models supporting effe...
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11/24/2021
Efficient Decompositional Rule Extraction for Deep Neural Networks
In recent years, there has been significant work on increasing both inte...
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11/22/2020
Using ontology embeddings for structural inductive bias in gene expression data analysis
Stratifying cancer patients based on their gene expression levels allows...
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09/29/2020
Incorporating network based protein complex discovery into automated model construction
We propose a method for gene expression based analysis of cancer phenoty...
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04/16/2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
Multi-Agent Reinforcement Learning (MARL) encompasses a powerful class o...
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01/28/2017