research
∙
04/25/2022
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
We introduce a new setting, optimize-and-estimate structured bandits. He...
share
research
∙
12/21/2021
Mapping industrial poultry operations at scale with deep learning and aerial imagery
Concentrated Animal Feeding Operations (CAFOs) pose serious risks to air...
research
∙
12/13/2021
Beyond Ads: Sequential Decision-Making Algorithms in Public Policy
We explore the promises and challenges of employing sequential decision-...
research
∙
05/29/2021
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
Environmental enforcement has historically relied on physical, resource-...
research
∙
03/17/2021
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
We propose a general model, Temporal Cluster Matching (TCM), for detecti...
research
∙
12/07/2020
ATOM3D: Tasks On Molecules in Three Dimensions
Computational methods that operate directly on three-dimensional molecul...
research
∙
08/13/2020
A community-powered search of machine learning strategy space to find NMR property prediction models
The rise of machine learning (ML) has created an explosion in the potent...
research
∙
06/08/2020
Lorentz Group Equivariant Neural Network for Particle Physics
We present a neural network architecture that is fully equivariant with ...
research
∙
06/06/2019
Cormorant: Covariant Molecular Neural Networks
We propose Cormorant, a rotationally covariant neural network architectu...
research
∙
01/07/2018