86 citations · 233 across the 15 of their papers we have counts for
5 papers · 1 filter
Multi-resolution neural networks for tracking seismic horizons from few training images
Bas Peters, Justin Granek, Eldad Haber
Detecting a specific horizon in seismic images is a valuable tool for geological interpretation. Because hand-picking the locations of the horizon is a time-consuming process, auto…
GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport
Rena Elkin, Saad Nadeem, Eldad Haber +4
The glymphatic system (GS) is a transit passage that facilitates brain metabolic waste removal and its dysfunction has been associated with neurodegenerative diseases such as Alzhe…
Never look back - A modified EnKF method and its application to the training of neural networks without back propagation
Eldad Haber, Felix Lucka, Lars Ruthotto
In this work, we present a new derivative-free optimization method and investigate its use for training neural networks. Our method is motivated by the Ensemble Kalman Filter (EnKF…
Simultaneous shot inversion for nonuniform geometries using fast data interpolation
Michelle Liu, Rajiv Kumar, Eldad Haber +1
Stochastic optimization is key to efficient inversion in PDE-constrained optimization. Using 'simultaneous shots', or random superposition of source terms, works very well in simpl…
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto, Eldad Haber
Partial differential equations (PDEs) are indispensable for modeling many physical phenomena and also commonly used for solving image processing tasks. In the latter area, PDE-base…