Zachary Kaplan

According to our database, Zachary Kaplan authored at least 5 papers between 2017 and 2024.

Collaborative distances:

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

2024

Advancing material property prediction: using physics-informed machine learning models for viscosity.

Alex K. Chew, Matthew Sender, Zachary Kaplan, Anand Chandrasekaran, Jackson Chief Elk, Andrea R. Browning, H. Shaun Kwak, Mathew D. Halls, Mohammad Atif Faiz Afzal

J. Cheminformatics, December, 2024

2023

A Computational Physics-based Approach to Predict Unbound Brain-to-Plasma Partition Coefficient, K_p,uu.

Morgan Lawrenz, Mats Svensson, Mitsunori Kato, Karen H. Dingley, Jackson Chief Elk, Zhe Nie, Yefen Zou, Zachary Kaplan, H. Rachel Lagiakos, Hideyuki Igawa, Eric Therrien

J. Chem. Inf. Model., June, 2023

2020

On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms.

Nicolás García Trillos, Zachary Kaplan, Thabo Samakhoana, Daniel Sanz-Alonso

J. Mach. Learn. Res., 2020

2019

Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning.

Nicolás García Trillos, Zachary Kaplan, Daniel Sanz-Alonso

Entropy, 2019

2017

On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms.

Nicolás García Trillos, Zachary Kaplan, Thabo Samakhoana, Daniel Sanz-Alonso

CoRR, 2017