AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

2 papers

Preprint2023

Interventional causal representation learning

Unknown

This paper introduces a method for causal representation learning from interventional data by using the geometric signature of do-interventions to guide an autoencoder.

0Jan 1, 2023

Preprint2026

Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity

Hongnan Ma, Yiwei Shi, Mengyue Yang, et al.

Introduces TimePNS, a necessity-aware framework for time-series explanation that uses counterfactual interventions to identify subsequences essential for model predictions.

0Jul 23, 2026Benchmarks

arXiv