activity
20202025
most citedSpeech Denoising with Auditory Models

9 citations · 29 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.NC2025

Topographic Constraints Shape Brain-Like Component Structure in Auditory Models

Haider Al-Tahan, Mayukh Deb, Jenelle Feather +1

If topography is a fundamental feature of the brain, it should influence both how neurons are arranged in space (i.e. explain brain maps) and how information is structured within t…

q-bio.NC2025★ 1 cited

Brain-Model Evaluations Need the NeuroAI Turing Test

Jenelle Feather, Meenakshi Khosla, N. Apurva Ratan Murty +1

What makes an artificial system a good model of intelligence? The classical test proposed by Alan Turing focuses on behavior, requiring that an artificial agent's behavior be indis…

q-bio.NC2024

Discriminating image representations with principal distortions

Jenelle Feather, David Lipshutz, Sarah E. Harvey +2

Image representations (artificial or biological) are often compared in terms of their global geometric structure; however, representations with similar global structure can have st…

q-bio.NC2023★ 5 cited

A Spectral Theory of Neural Prediction and Alignment

Abdulkadir Canatar, Jenelle Feather, Albert Wakhloo +1

The representations of neural networks are often compared to those of biological systems by performing regression between the neural network responses and those measured from biolo…

q-bio.NC2021★ 6 cited

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

Joel Dapello, Jenelle Feather, Hang Le +5

Adversarial examples are often cited by neuroscientists and machine learning researchers as an example of how computational models diverge from biological sensory systems. Recent w…

eess.AS2020★ 9 cited

Speech Denoising with Auditory Models

Mark R. Saddler, Andrew Francl, Jenelle Feather +3

Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform. The development of high-performing neural network…

cs.LG2020★ 8 cited

Untangling in Invariant Speech Recognition

Cory Stephenson, Jenelle Feather, Suchismita Padhy +4

Encouraged by the success of deep neural networks on a variety of visual tasks, much theoretical and experimental work has been aimed at understanding and interpreting how vision n…