The special session titled "Machine Learning for Computational Imaging in Earth Sciences" was co-organized with Dr. Mauricio Araya-Polo (TotalEnergies), and includes the following lectures:
1. 3D GEOMETRY DESIGN VIA END-TO-END OPTIMIZATION FOR LAND SEISMIC ACQUISITION
Maria...
The paper "Brain Source Localization by Alternating Projection" presents state-of-the-art brain source localization results, a joint work with Dr. Dimitrios Pantazis and Dr. Mati Wax.
Abstract: We present a novel solution to the problem of localizing magnetoencephalography (MEG) and...
The article "Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows" was co-authored with Dr. Mauricio Araya-Polo and Prof. Tomaso Poggio.
Abstract: Seismic inversion is a fundamental tool in geophysical analysis, providing a window into the...
We seek a highly motivated postdoctoral researcher for a cutting-edge research project sponsored by Total Exploration & Production Research & Technology, USA. The research is held at Braude College of Engineering, Israel, in close collaboration with Total and includes visiting periods at...
Dr. Adler's winnning research proposal is entitled: "Hate Speech Detection via Deep Learning from Very Large Datasets". This research is focused in the design of deep generative models for building very large scale datasets for training and validation of deep neural networks for...
Araya-Polo M., Adler A., Farris S., Jennings J. (2020) Fast and Accurate Seismic Tomography via Deep Learning. In: Deep Learning: Algorithms and Applications, Springer.
This chapter presents a novel convolutional neural network (CNN)-based approach to seismic tomography,...
GEOPHYSICAL IMAGING AND INTERPRETATION WITH DEEP NEURAL NETWORKS SYMPOSIUM – NOVEMBER 4-5, 2019
A 2-day event which is a combination of external speaker presentations and panel discussions where Shell facilitates conversation around specific problems in geophysical...
He will speak about his joint research with Dr. Mati Wax entitled: Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution
Abstract - We present a novel relaxed maximum likelihood solution to the problem of direct...