Jason Yosinski
According to our database1,
Jason Yosinski
authored at least 44 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on yosinski.com
On csauthors.net:
Bibliography
2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2021
2020
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Training and Understanding Deep Neural Networks for Robotics, Design, and Visual Perception.
PhD thesis, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Understanding and Improvement.
CoRR, 2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.
Evol. Comput., 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks.
CoRR, 2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Artif. Life, 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Evolving Gaits for Physical Robots with the HyperNEAT Generative Encoding: The Benefits of Simulation.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
2012
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012
2011
Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized search.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
2010
Proceedings of the 13th Conference on Information Fusion, 2010