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researcher

C. Barberan

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.LG2022

NeuroView-RNN: It's About Time

CJ Barberan, Sina Alemohammad, Naiming Liu +2

Recurrent Neural Networks (RNNs) are important tools for processing sequential data such as time-series or video. Interpretability is defined as the ability to be understood by a p…

cs.CV2021

NeuroView: Explainable Deep Network Decision Making

CJ Barberan, Randall Balestriero, Richard G. Baraniuk

Deep neural networks (DNs) provide superhuman performance in numerous computer vision tasks, yet it remains unclear exactly which of a DN's units contribute to a particular decisio…

cs.LG2021

NFT-K: Non-Fungible Tangent Kernels

Sina Alemohammad, Hossein Babaei, CJ Barberan +4

Deep neural networks have become essential for numerous applications due to their strong empirical performance such as vision, RL, and classification. Unfortunately, these networks…

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