Visualizing deep brain stimulation settings in obsessive compulsive disorder. - David Eigen; Daniel H. Grollman; David H. Laidlaw; Benjamin D. Greenberg; Erin Einbinder (SIGGRAPH Posters, 2004)

Nonparametric image parsing using adaptive neighbor sets. - David Eigen; Rob Fergus (CVPR, 2012)

Restoring an Image Taken through a Window Covered with Dirt or Rain. - David Eigen; Dilip Krishnan; Rob Fergus (ICCV, 2013)

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. - David Eigen; Christian Puhrsch; Rob Fergus (NIPS, 2014)

Understanding Deep Architectures using a Recursive Convolutional Network. - David Eigen; Jason Tyler Rolfe; Rob Fergus; Yann LeCun (ICLR (Workshop Poster), 2014)

Learning Factored Representations in a Deep Mixture of Experts. - David Eigen; Marc'Aurelio Ranzato; Ilya Sutskever (ICLR (Workshop Poster), 2014)

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. - Pierre Sermanet; David Eigen; Xiang Zhang 013; Michaël Mathieu; Rob Fergus; Yann LeCun (ICLR, 2014)

End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression. - Li Wan 002; David Eigen; Rob Fergus (CVPR, 2015)

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture. - David Eigen; Rob Fergus (ICCV, 2015)

Unsupervised Learning of Spatiotemporally Coherent Metrics. - Ross Goroshin; Joan Bruna; Jonathan Tompson; David Eigen; Yann LeCun (ICCV, 2015)

Unsupervised Feature Learning from Temporal Data. - Ross Goroshin; Joan Bruna; Jonathan Tompson; David Eigen; Yann LeCun (ICLR (Workshop), 2015)

Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps. - David Eigen (2015)

Gradient Agreement as an Optimization Objective for Meta-Learning. - Amir Erfan Eshratifar; David Eigen; Massoud Pedram (CoRR, 2018)

A Meta-Learning Approach for Custom Model Training. - Amir Erfan Eshratifar; Mohammad Saeed Abrishami; David Eigen; Massoud Pedram (AAAI, 2019)

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. - Hongyang Li 001; David Eigen; Samuel Dodge; Matthew Zeiler; Xiaogang Wang 001 (CVPR, 2019)

Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. - Mohammad Saeed Abrishami; Amir Erfan Eshratifar; David Eigen; Yanzhi Wang; Shahin Nazarian; Massoud Pedram (ISQED, 2020)

Coarse2Fine: a two-stage training method for fine-grained visual classification. - Amir Erfan Eshratifar; David Eigen; Michael Gormish; Massoud Pedram (Mach. Vis. Appl., 2021)

Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images. - Constance Dubois; David Eigen; François Simon; Vincent Couloigner; Michael Gormish; Martin Chalumeau; Laurent Schmoll; Jérémie F. Cohen (npj Digit. Medicine, 2024)

Enhancing Worldwide Image Geolocation by Ensembling Satellite-Based Ground-Level Attribute Predictors. - Michael J. Bianco; David Eigen; Michael Gormish (WACV (Workshops), 2025)