Michael Resnick

According to our database, Michael Resnick authored at least 3 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Theory of the Mechanics of Information: Generalization Through Measurement of Uncertainty (Learning is Measuring).

Christopher J. Hazard, Michael Resnick, Jacob Beel, Jack Xia, Cade Mack, Dominic Glennie, Matthew Fulp, David Maze, Andrew Bassett, Martin Koistinen

CoRR, October, 2025

2023

Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning.

Amartya Banerjee, Christopher J. Hazard, Jacob Beel, Cade Mack, Jack Xia, Michael Resnick, Will Goddin

CoRR, 2023

2019

Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions.

Christopher J. Hazard, Christopher Fusting, Michael Resnick, Michael Auerbach, Michael Meehan, Valeri Korobov

CoRR, 2019