Sebastian Johann Wetzel

According to our database, Sebastian Johann Wetzel authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients.

Zakaria Patel, Sebastian Johann Wetzel

CoRR, 2024

Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients.

Sebastian Johann Wetzel

CoRR, 2024

2023

Twin Neural Network Improved k-Nearest Neighbor Regression.

Sebastian Johann Wetzel

CoRR, 2023

How to get the most out of Twinned Regression Methods.

Sebastian Johann Wetzel

CoRR, 2023

2022

Twin neural network regression is a semi-supervised regression algorithm.

Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn

Mach. Learn. Sci. Technol., December, 2022

Unsupervised Learning of Rydberg Atom Array Phase Diagram with Siamese Neural Networks.

Zakaria Patel, Ejaaz Merali, Sebastian Johann Wetzel

CoRR, 2022

2021

Logic Guided Genetic Algorithms (Student Abstract).

Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Twin Neural Network Regression.

Sebastian Johann Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn

CoRR, 2020

Logic Guided Genetic Algorithms.

Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh

CoRR, 2020

Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks.

Sebastian Johann Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh

CoRR, 2020

2019

Spectral Reconstruction with Deep Neural Networks.

Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf, Manuel Scherzer, Julian M. Urban, Sebastian Johann Wetzel, Nicolas Wink, Felix Ziegler

CoRR, 2019

2017

Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders.

Sebastian Johann Wetzel

CoRR, 2017