2 papers
cs.AI2026
Watts If? A Benchmark for Counterfactual Reasoning About the AI Data Center Buildout
Pankaj Chouhan, Rajarshi Das, Aditya Dubey +5
An AI data center is committed years before it draws a watt: a few discrete choices (grid or on-site gas, evaporative or dry cooling, which county to file in) fix its capital, wate…
cs.LG2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak +4
Recently, there has been a growing interest in learning and explaining causal effects within Neural Network (NN) models. By virtue of NN architectures, previous approaches consider…