106 citations · 204 across the 7 of their papers we have counts for
8 papers
Catalysts for the hydrogen evolution reaction in alkaline medium: Configuring a cooperative mechanism at the Ag-AgS-MoS interface
Avraham Bar-Hen, Simon Hettler, Ashwin Ramasubramaniam +3
Designing electrocatalysts for HER in alkaline conditions to overcome the sluggish kinetics associated with the additional water dissociation step is a recognized challenge in prom…
An Artificial Neural Network Functionalized by Evolution
Fabien Furfaro, Avner Bar-Hen, Geoffroy Berthelot
The topology of artificial neural networks has a significant effect on their performance. Characterizing efficient topology is a field of promising research in Artificial Intellige…
Shelling with MoS Functional CuS@MoS2 Hybrids as Electrocatalysts for the Oxygen Reduction and Hydrogen Evolution Reactions
Avraham Bar-Hen, Ronen Bar Ziv, Tsion Ohaion-Raz +4
The development of noble-metal free electrocatalysts is of high importance for clean energy conversion applications. MoS has been considered as a promising low cost catalyst fo…
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière, Nicolas Thome, Avner Bar-Hen +2
Assessing reliably the confidence of a deep neural network and predicting its failures is of primary importance for the practical deployment of these models. In this paper, we prop…
An ensemble learning method for variable selection: application to high dimensional data and missing values
Avner Bar-Hen, Vincent Audigier
Standard approaches for variable selection in linear models are not tailored to deal properly with high-dimensional and incomplete data. Currently, methods dedicated to high-dimens…
Non-Adaptive Policies for 20 Questions Target Localization
Ehsan Variani, Kamel Lahouel, Avner Bar-Hen +1
The problem of target localization with noise is addressed. The target is a sample from a continuous random variable with known distribution and the goal is to locate it with minim…