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09/29/2021
Equivariant Neural Network for Factor Graphs
Several indices used in a factor graph data structure can be permuted wi...
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09/28/2021
Sample-Efficient Safety Assurances using Conformal Prediction
When deploying machine learning models in high-stakes robotics applicati...
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08/21/2020
Privacy Preserving Recalibration under Domain Shift
Classifiers deployed in high-stakes real-world applications must output ...
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07/01/2020
Belief Propagation Neural Networks
Learned neural solvers have successfully been used to solve combinatoria...
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11/26/2019
Approximating the Permanent by Sampling from Adaptive Partitions
Computing the permanent of a non-negative matrix is a core problem with ...
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01/27/2018
