22 citations · 30 across the 6 of their papers we have counts for
6 papers
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes
A. T. Gifford, B. Lahner, S. Saba-Sadiya +6
The sciences of biological and artificial intelligence are ever more intertwined. Neural computational principles inspire new intelligent machines, which are in turn used to advanc…
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs
Reza Khanmohammadi, Sari Saba-Sadiya, Sina Esfandiarpour +2
In this paper, we present Mambanet: a hybrid neural network for predicting the outcomes of Basketball games. Contrary to other studies, which focus primarily on season games, this…
Feature Imitating Networks
Sari Saba-Sadiya, Tuka Alhanai, Mohammad M Ghassemi
In this paper, we introduce a novel approach to neural learning: the Feature-Imitating-Network (FIN). A FIN is a neural network with weights that are initialized to reliably approx…
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
Arjun R. Akula, Keze Wang, Changsong Liu +5
We propose CX-ToM, short for counterfactual explanations with theory-of mind, a new explainable AI (XAI) framework for explaining decisions made by a deep convolutional neural netw…
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks
Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu +1
Electrode "pop" artifacts originate from the spontaneous loss of connectivity between a surface and an electrode. Electroencephalography (EEG) uses a dense array of electrodes, hen…
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya +4
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. We pose explanation as an iterative c…