35 citations · 36 across the 3 of their papers we have counts for
3 papers
stat.ML2019★ 1 cited
Novel Uncertainty Framework for Deep Learning Ensembles
Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
Deep neural networks have become the default choice for many of the machine learning tasks such as classification and regression. Dropout, a method commonly used to improve the con…
cond-mat.stat-mech2014
Dynamics of a Classical Particle in a Quasi Periodic Potential
Yaniv Tenenbaum Katan, Tal Kachman, Shmuel Fishman +1
We study the dynamics of a one-dimensional classical particle in a space and time dependent potential with randomly chosen parameters. The focus of this work is a quasi-periodic po…
cs.CV2014★ 35 cited
Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications
Sagi Eppel, Tal Kachman
The ability to recognize the liquid surface and the liquid level in transparent containers is perhaps the most commonly used evaluation method when dealing with fluids. Such recogn…