NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (19)

cs.RO2012

MAV Stabilization using Machine Learning and Onboard Sensors

Jason Yosinski, Cooper Bills

cs.NE2016

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski +2

cs.NE2016

Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

Anh Nguyen, Jason Yosinski, Jeff Clune

cs.CV2016

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation

Sina Honari, Jason Yosinski, Pascal Vincent +1

cs.CV2015

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Anh Nguyen, Jason Yosinski, Jeff Clune

cs.NE2013

Hands-free Evolution of 3D-printable Objects via Eye Tracking

Nick Cheney, Jeff Clune, Jason Yosinski +1

cs.LG2015

GSNs : Generative Stochastic Networks

Guillaume Alain, Yoshua Bengio, Li Yao +4

cs.CV2018

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Rosanne Liu, Joel Lehman, Piero Molino +4

cs.LG2018

Measuring the Intrinsic Dimension of Objective Landscapes

Chunyuan Li, Heerad Farkhoor, Rosanne Liu +1

cs.LG2015

Can deep learning help you find the perfect match?

Harm de Vries, Jason Yosinski

stat.ML2019

Metropolis-Hastings Generative Adversarial Networks

Ryan Turner, Jane Hung, Eric Frank +2

cs.LG2019

Understanding Neural Networks via Feature Visualization: A survey

Anh Nguyen, Jason Yosinski, Jeff Clune

cs.CV2015

Understanding Neural Networks Through Deep Visualization

Jason Yosinski, Jeff Clune, Anh Nguyen +2

stat.ML2017

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability

Maithra Raghu, Justin Gilmer, Jason Yosinski +1

stat.ML2017

Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning

Andrew Gordon Wilson, Jason Yosinski, Patrice Simard +2

cs.LG2014

Deep Generative Stochastic Networks Trainable by Backprop

Yoshua Bengio, Éric Thibodeau-Laufer, Guillaume Alain +1

cs.CV2017

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space

Anh Nguyen, Jeff Clune, Yoshua Bengio +2

cs.LG2016

Convergent Learning: Do different neural networks learn the same representations?

Yixuan Li, Jason Yosinski, Jeff Clune +2

cs.LG2014

How transferable are features in deep neural networks?

Jason Yosinski, Jeff Clune, Yoshua Bengio +1