This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference
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Updated
May 16, 2024 - Python
This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference
A hyperintensional theorem prover for counterfactual conditional, modal, constitutive explanatory, relevance, and extensional operators.
Counterfactual text reviews generator
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
This project aims to touch on the most important topics in the field of Responsible AI including bias, fairness, interpretability, error analysis and counterfactuals. Why apply those concepts to the adult dataset
Code for "Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets", Arxiv 2024.
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
Classifier with Counterfactual Samples and Active Learning
Implementation of the paper "Evaluating the Reliability of Self-Explanations in Large Language Models"
This project utilizes advanced data analysis and machine learning techniques to predict equipment failures before they occur. The goal is to detect anomalies and possible defects in equipment and processes to enable preemptive maintenance, thereby reducing downtime and costs.
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
cfid: R package for identifying counterfactuals.
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
🔮 Master Thesis for Double Degree for Master in Software Engineering at FH Technikum Wien: Analysis of Counterfactuals with Statistical Inference System
Repository for On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
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