412 citations · 860 across the 13 of their papers we have counts for
15 papers
A System for Accurate Tracking and Video Recordings of Rodent Eye Movements using Convolutional Neural Networks for Biomedical Image Segmentation
Isha Puri, David Cox
Research in neuroscience and vision science relies heavily on careful measurements of animal subject's gaze direction. Rodents are the most widely studied animal subjects for such…
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…
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Eric Wu, Kevin Wu, David Cox +1
Deep learning approaches to breast cancer detection in mammograms have recently shown promising results. However, such models are constrained by the limited size of publicly availa…
Minnorm training: an algorithm for training over-parameterized deep neural networks
Yamini Bansal, Madhu Advani, David D Cox +1
In this work, we propose a new training method for finding minimum weight norm solutions in over-parameterized neural networks (NNs). This method seeks to improve training speed an…
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
William Lotter, Gabriel Kreiman, David Cox
While deep neural networks take loose inspiration from neuroscience, it is an open question how seriously to take the analogies between artificial deep networks and biological neur…
Input-Aware Auto-Tuning of Compute-Bound HPC Kernels
Philippe Tillet, David Cox
Efficient implementations of HPC applications for parallel architectures generally rely on external software packages (e.g., BLAS, LAPACK, CUDNN). While these libraries provide hig…