2 citations · 5 across the 5 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023
Machine Unlearning for Causal Inference
Vikas Ramachandra, Mohit Sethi
Machine learning models play a vital role in making predictions and deriving insights from data and are being increasingly used for causal inference. To preserve user privacy, it i…
cs.LG2019★ 2 cited
Causal inference for climate change events from satellite image time series using computer vision and deep learning
Vikas Ramachandra
We propose a method for causal inference using satellite image time series, in order to determine the treatment effects of interventions which impact climate change, such as defore…