Justin B. Kinney

According to our database, Justin B. Kinney authored at least 10 papers between 2013 and 2025.

Collaborative distances:

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

2025

On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing.

Samantha Petti, Carlos Martí-Gómez, Justin B. Kinney, Juannan Zhou, David M. McCandlish

CoRR, April, 2025

Gauge fixing for sequence-function relationships.

Anna Posfai, Juannan Zhou, David M. McCandlish, Justin B. Kinney

PLoS Comput. Biol., 2025

2024

Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models.

Evan Seitz, David M. McCandlish, Justin B. Kinney, Peter K. Koo

Nat. Mac. Intell., 2024

2020

Biophysical models of cis-regulation as interpretable neural networks.

Ammar Tareen, Justin B. Kinney

CoRR, 2020

Logomaker: beautiful sequence logos in Python.

Ammar Tareen, Justin B. Kinney

Bioinform., 2020

2019

Mapping DNA sequence to transcription factor binding energy in vivo.

Stephanie L. Barnes, Nathan M. Belliveau, William T. Ireland, Justin B. Kinney, Rob Phillips

PLoS Comput. Biol., 2019

2018

Density estimation on small datasets.

Wei-Chia Chen, Ammar Tareen, Justin B. Kinney

CoRR, 2018

2014

Parametric Inference in the Large Data Limit Using Maximally Informative Models.

Justin B. Kinney, Gurinder S. Atwal

Neural Comput., 2014

Unification of Field Theory and Maximum Entropy Methods for Learning Probability Densities.

Justin B. Kinney

CoRR, 2014

2013

Practical estimation of probability densities using scale-free field theories.

Justin B. Kinney

CoRR, 2013