activity
20162023
most citedCompressed Learning: A Deep Neural Network Approach

54 citations · 153 across the 12 of their papers we have counts for

collaborators

14 papers

eess.SP2023★ 12 cited

An F-ratio-Based Method for Estimating the Number of Active Sources in MEG

Amita Giri, John C. Mosher, Amir Adler +1

Magnetoencephalography (MEG) is a powerful technique for studying the human brain function. However, accurately estimating the number of sources that contribute to the MEG recordin…

physics.geo-ph2022

Encoder-Decoder Architecture for 3D Seismic Inversion

Maayan Gelboim, Amir Adler, Yen Sun +1

Inverting seismic data to build 3D geological structures is a challenging task due to the overwhelming amount of acquired seismic data, and the very-high computational load due to…

eess.SP2022

Brain Source Localization by Alternating Projection

Amir Adler, Mati Wax, Dimitrios Pantazis

We present a novel solution to the problem of localizing magnetoencephalography (MEG) and electroencephalography (EEG) brain signals. The solution is sequential and iterative, and…

cs.CL2021★ 16 cited

Character-level HyperNetworks for Hate Speech Detection

Tomer Wullach, Amir Adler, Einat Minkov

The massive spread of hate speech, hateful content targeted at specific subpopulations, is a problem of critical social importance. Automated methods of hate speech detection typic…

cs.CL2021

Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech

Tomer Wullach, Amir Adler, Einat Minkov

Automatic hate speech detection is hampered by the scarcity of labeled datasetd, leading to poor generalization. We employ pretrained language models (LMs) to alleviate this data b…

eess.SP2020

MEG Source Localization via Deep Learning

Dimitrios Pantazis, Amir Adler

We present a deep learning solution to the problem of localization of magnetoencephalography (MEG) brain signals. The proposed deep model architectures are tuned for single and mul…