Search Results for author: Kasun Amarasinghe

Found 6 papers, 1 papers with code

Building Energy Load Forecasting using Deep Neural Networks

no code implementations29 Oct 2016 Daniel L. Marino, Kasun Amarasinghe, Milos Manic

Experimental results showed that the standard LSTM failed at one-minute resolution data while performing well in one-hour resolution data.

Decision Making energy management +2

Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions

2 code implementations27 Oct 2020 Kasun Amarasinghe, Kit Rodolfa, Hemank Lamba, Rayid Ghani

The contribution is 1) a methodology for explainable ML researchers to identify use cases and develop methods targeted at them and 2) using that methodology for the domain of public policy and giving an example for the researchers on developing explainable ML methods that result in real-world impact.

BIG-bench Machine Learning

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods

no code implementations24 Jun 2022 Kasun Amarasinghe, Kit T. Rodolfa, Sérgio Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani

Most existing evaluations of explainable machine learning (ML) methods rely on simplifying assumptions or proxies that do not reflect real-world use cases; the handful of more robust evaluations on real-world settings have shortcomings in their design, resulting in limited conclusions of methods' real-world utility.

Experimental Design Fraud Detection

Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance

no code implementations19 Mar 2024 Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit Rodolfa, Rayid Ghani

Rental assistance programs provide individuals with financial assistance to prevent housing instabilities caused by evictions and avert homelessness.

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