Justin Shenk

According to our database, Justin Shenk authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LinuxArena: A Control Setting for AI Agents in Live Production Software Environments.

Tyler Tracy, Ram Potham, Nick Kuhn, Myles Heller, Anshul Khandelwal, Cody Rushing, Henri Lemoine, Miguel Brandao, Tomas Turlik, Adam Hanson, Josh Hills, Amy Ngo, Ram Rachum, Nik Mitchell, Falko Galperin, Oscar Sykes, Pip Arnott, Samuel Prieto Lima, Carlos Giudice, Matt Goldwater, Daniel Popp, Drew de Wet, Ruben Castaing, Qi Guo, Douw Marx, Benjamin Shaffrey, Justin Shenk, Martin Milbradt, Hannah Meagher, Shaheen Ahmed-Chowdhury, Daniel O'Connell, Chris Canal, Buck Shlegeris, Aryan Bhatt

CoRR, April, 2026

2022

Delve: Neural Network Feature Variance Analysis.

Justin Shenk, Mats L. Richter, Wolf Byttner

J. Open Source Softw., 2022

2021

Traja: A Python toolbox for animal trajectory analysis.

Justin Shenk, Wolf Byttner, Saranraj Nambusubramaniyan, Alexander Zoeller

J. Open Source Softw., 2021

Size Matters.

Mats L. Richter, Wolf Byttner, Ulf Krumnack, Ludwig Schallner, Justin Shenk

CoRR, 2021

(Input) Size Matters for CNN Classifiers.

Mats L. Richter, Wolf Byttner, Ulf Krumnack, Anna Wiedenroth, Ludwig Schallner, Justin Shenk

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Feature Space Saturation during Training.

Mats L. Richter, Justin Shenk, Wolf Byttner, Anna Wiedenroth, Mikael Huss

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Feature Space Saturation during Training.

Justin Shenk, Mats L. Richter, Wolf Byttner, Anders Arpteg, Mikael Huss

CoRR, 2020

2019

Spectral Analysis of Latent Representations.

Justin Shenk, Mats L. Richter, Anders Arpteg, Mikael Huss

CoRR, 2019