Sudeshna Sarkar

Exploring Causality Aware Data Synthesis

2023

Data synthesis is an important need in many real-life applications. However, generating data with preserving causal relations is a challenge. Causal relation preservation is an utmost need to boost the explainability of ML-DL based applications. …