Sebastian Johann Wetzel

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Vowel Recognition

Nearest Neighbor

Unsupervised Learning

Top Venues

Mach. Learn. Sci. Technol.

Publications

Sebastian Johann Wetzel
Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients. CoRR (2024)
Sebastian Johann Wetzel
How to get the most out of Twinned Regression Methods. CoRR (2023)
Sebastian Johann Wetzel
Twin Neural Network Improved k-Nearest Neighbor Regression. CoRR (2023)
Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn
Twin neural network regression is a semi-supervised regression algorithm. Mach. Learn. Sci. Technol. 3 (4) (2022)
Zakaria Patel, Ejaaz Merali, Sebastian Johann Wetzel
Unsupervised Learning of Rydberg Atom Array Phase Diagram with Siamese Neural Networks. CoRR (2022)
Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh
Logic Guided Genetic Algorithms (Student Abstract). AAAI (2021)
Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm. CoRR (2021)
Sebastian Johann Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn
Twin Neural Network Regression. CoRR (2020)
Sebastian Johann Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks. CoRR (2020)
Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh
Logic Guided Genetic Algorithms. CoRR (2020)
Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf, Manuel Scherzer, Julian M. Urban, Sebastian Johann Wetzel, Nicolas Wink, Felix Ziegler
Spectral Reconstruction with Deep Neural Networks. CoRR (2019)
Sebastian Johann Wetzel
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders. CoRR (2017)