Zachary Kaplan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 6

Top Topics

Manifold Regularization

Markov Chain Monte Carlo

Machine Learning

Top Venues

J. Cheminformatics

J. Mach. Learn. Res.

J. Chem. Inf. Model.

Publications

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
Advancing material property prediction: using physics-informed machine learning models for viscosity. J. Cheminformatics 16 (1) (2024)
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. 63 (12) (2023)
Nicolás García Trillos, Zachary Kaplan, Thabo Samakhoana, Daniel Sanz-Alonso
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms. J. Mach. Learn. Res. 21 (2020)
Nicolás García Trillos, Zachary Kaplan, Daniel Sanz-Alonso
Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning. CoRR (2019)
Nicolás García Trillos, Zachary Kaplan, Daniel Sanz-Alonso
Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning. Entropy 21 (5) (2019)
Nicolás García Trillos, Zachary Kaplan, Thabo Samakhoana, Daniel Sanz-Alonso
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms. CoRR (2017)