Jason Yosinski

14.3k total citations · 3 hit papers
25 papers, 4.7k citations indexed

About

Jason Yosinski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jason Yosinski has authored 25 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Jason Yosinski's work include Neural Networks and Applications (6 papers), Modular Robots and Swarm Intelligence (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Jason Yosinski is often cited by papers focused on Neural Networks and Applications (6 papers), Modular Robots and Swarm Intelligence (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Jason Yosinski collaborates with scholars based in United States, Canada and Denmark. Jason Yosinski's co-authors include Jeff Clune, Yoshua Bengio, Hod Lipson, Anh‐Tu Nguyen, Alexey Dosovitskiy, Rebecca Nelson, Chad DeChant, Ethan L. Stewart, Michael A. Gore and Tyr Wiesner‐Hanks and has published in prestigious journals such as Phytopathology, Evolutionary Computation and Artificial Life.

In The Last Decade

Jason Yosinski

20 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How transferable are features in deep neural networks?

2014 2.3k citations Jason Yosinski, Jeff Clune et al. arXiv (Cornell University) profile →
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

2015 1.5k citations Anh‐Tu Nguyen, Jason Yosinski et al. profile →
Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning

2017 305 citations Chad DeChant, Tyr Wiesner‐Hanks et al. Phytopathology profile →

Peers

Countries citing papers authored by Jason Yosinski

Since Specialization

Citations

This map shows the geographic impact of Jason Yosinski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason Yosinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Yosinski more than expected).

Fields of papers citing papers by Jason Yosinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Yosinski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason Yosinski. The network helps show where Jason Yosinski may publish in the future.

Co-authorship network of co-authors of Jason Yosinski

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Yosinski. A scholar is included among the top collaborators of Jason Yosinski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Yosinski. Jason Yosinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods 2023 ·(unknown), Morteza Rezanejad, (unknown), Oren Kraus, (unknown), J. R. Taylor, (unknown), (unknown), Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, (unknown)	16
2	Estimating Q(s,s') with Deterministic Dynamics Gradients 2020 ·(unknown), (unknown), Rosanne Liu, (unknown), Ankit Jain, (unknown), (unknown), Thomas Miconi, Charles L. Isbell, Jason Yosinski	0
3	Hamiltonian Neural Networks 2019 ·arXiv (Cornell University) ·(unknown), Misko Dzamba, Jason Yosinski	39
4	LCA: Loss Change Allocation for Neural Network Training 2019 ·arXiv (Cornell University) ·Janice Lan, Rosanne Liu, (unknown), Jason Yosinski	5
5	Faster Neural Networks Straight from JPEG 2018 ·Neural Information Processing Systems ·Lionel Gueguen, A. E. Sergeev, Rosanne Liu, Jason Yosinski	25
6	SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability 2017 ·arXiv (Cornell University) ·Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl‐Dickstein	76
7	SVCCA: Singular Vector Canonical Correlation Analysis for Deep Understanding and Improvement 2017 ·Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl‐Dickstein	4
8	Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning breakdown → 2017 ·Phytopathology ·Chad DeChant, Tyr Wiesner‐Hanks, Siyuan Chen, Ethan L. Stewart, Jason Yosinski, Michael A. Gore, Rebecca Nelson, Hod Lipson	305
9	Convergent Learning: Do different neural networks learn the same representations? 2016 ·International Conference on Learning Representations ·Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft	32
10	GSNs: generative stochastic networks 2016 ·Information and Inference A Journal of the IMA ·Guillaume Alain, Yoshua Bengio, Li Yao, Jason Yosinski, (unknown), Saizheng Zhang, Pascal Vincent	18
11	Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning 2016 ·Evolutionary Computation ·Anh‐Tu Nguyen, Jason Yosinski, Jeff Clune	23
12	How transferable are features in deep neural networks? breakdown → 2014 ·arXiv (Cornell University) ·Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson	2267
13	Aracna: An Open-Source Quadruped Platform for Evolutionary Robotics 2012 ·(unknown), Jason Yosinski, Eric Gold, Jeff Clune, Jeremy Blum, Hod Lipson	8
14	Aracna: An Open-Source Quadruped Platform for Evolutionary Robotics 2012 ·(unknown), Jason Yosinski, Eric Gold, Jeff Clune, Jeremy Blum, Hod Lipson	0
15	Learning Fast Quadruped Robot Gaits with the RL PoWER Spline Parameterization 2012 ·Cybernetics and Information Technologies ·Haocheng Shen, Jason Yosinski, Petar Kormushev, Darwin G. Caldwell, Hod Lipson	16
16	Visually Debugging Restricted Boltzmann Machine Training with a 3D Example 2012 ·Jason Yosinski, Hod Lipson	7
17	Analysis of CBRN sensor fusion methods 2010 ·Scott Lundberg, Randy Paffenroth, Jason Yosinski	2
18	Algorithms for distributed chemical sensor fusion 2010 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Scott Lundberg, Randy Paffenroth, Jason Yosinski	2
19	Nonlinear estimation for arrays of chemical sensors 2010 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Jason Yosinski, Randy Paffenroth	1
20	Network-centric angle only tracking 2009 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Jason Yosinski, (unknown), Randy Paffenroth	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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