most citedESCELL: Emergent Symbolic Cellular Language

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Adversarial Attacks with Time-Scale Representations

Alberto Santamaria-Pang, Jianwei Qiu, Aritra Chowdhury +4

We propose a novel framework for real-time black-box universal attacks which disrupts activations of early convolutional layers in deep learning models. Our hypothesis is that pert…

cs.CV2020★ 3 cited

Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages

Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +2

The coronavirus disease (COVID-19) has resulted in a pandemic crippling the a breadth of services critical to daily life. Segmentation of lung infections in computerized tomography…

cs.CV2020

Emergent symbolic language based deep medical image classification

Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +1

Modern deep learning systems for medical image classification have demonstrated exceptional capabilities for distinguishing between image based medical categories. However, they ar…

cs.AI2020★ 4 cited

Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability

Alberto Santamaria-Pang, James Kubricht, Aritra Chowdhury +2

Recent advances in methods focused on the grounding problem have resulted in techniques that can be used to construct a symbolic language associated with a specific domain. Inspire…

cs.AI2020★ 6 cited

ESCELL: Emergent Symbolic Cellular Language

Aritra Chowdhury, James R. Kubricht, Anup Sood +2

We present ESCELL, a method for developing an emergent symbolic language of communication between multiple agents reasoning about cells. We show how agents are able to cooperate an…