Bivariate Partial Information Decomposition (PID) describes how the mutu...
There has been tremendous interest in designing stimuli (e.g. electrical...
We propose two new measures for extracting the unique information in X a...
When a machine-learning algorithm makes biased decisions, it can be help...
Motivated by neuroscientific and clinical applications, we empirically
e...
In neuroscience, researchers have developed informal notions of what it ...
With the growing use of AI in highly consequential domains, the
quantifi...
This work proposes the first strategy to make distributed training of ne...
We develop a theoretical framework for defining and identifying flows of...
Cloud providers have recently introduced low-priority machines to reduce...
We propose a novel application of coded computing to the problem of the
...
This paper has two contributions. First, we propose a novel coded matrix...
We propose a novel distributed iterative linear inverse solver method. O...
We propose a coded computing strategy and examine communication costs of...
In this paper, we propose a new coded computing technique called "substi...
We provide novel coded computation strategies for distributed matrix-mat...