134 citations · 135 across the 3 of their papers we have counts for
5 papers
Improving Engagement and Efficacy of mHealth Micro-Interventions for Stress Coping: an In-The-Wild Study
Chaya Ben Yehuda, Ran Gilad-Bachrach, Yarin Udi
Sustaining long-term user engagement with mobile health (mHealth) interventions while preserving their high efficacy remains an ongoing challenge in real-world well-being applicati…
Tighter Bounds on the Information Bottleneck with Application to Deep Learning
Nir Weingarten, Zohar Yakhini, Moshe Butman +1
Deep Neural Nets (DNNs) learn latent representations induced by their downstream task, objective function, and other parameters. The quality of the learned representations impacts…
The Case Against Explainability
Hofit Wasserman Rozen, Niva Elkin-Koren, Ran Gilad-Bachrach
As artificial intelligence (AI) becomes more prevalent there is a growing demand from regulators to accompany decisions made by such systems with explanations. However, a persisten…
PyBryt: auto-assessment and auto-grading for computational thinking
Christopher Pyles, Francois van Schalkwyk, Gerard J. Gorman +4
We continuously interact with computerized systems to achieve goals and perform tasks in our personal and professional lives. Therefore, the ability to program such systems is a sk…
Crypto-Nets: Neural Networks over Encrypted Data
Pengtao Xie, Misha Bilenko, Tom Finley +3
The problem we address is the following: how can a user employ a predictive model that is held by a third party, without compromising private information. For example, a hospital m…