Sebastian Johann Wetzel

16 papers A* 1Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Closed-form interpretation of neural network classifiers with symbolic gradients.
Mach. Learn. Sci. Technol.
Sebastian Johann Wetzel
2025 J jnl
Interpretable Machine Learning in Physics: A Review.
CoRR
Sebastian Johann Wetzel, Seungwoong Ha, Raban Iten, Miriam Klopotek, Ziming Liu
2025 J jnl
Twin neural network improved k-nearest neighbor regression.
Int. J. Data Sci. Anal.
Sebastian Johann Wetzel
2024 J jnl
Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients.
CoRR
Sebastian Johann Wetzel
2024 J jnl
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients.
CoRR
Zakaria Patel, Sebastian Johann Wetzel
2023 J jnl
How to get the most out of Twinned Regression Methods.
CoRR
Sebastian Johann Wetzel
2023 J jnl
Twin Neural Network Improved k-Nearest Neighbor Regression.
CoRR
Sebastian Johann Wetzel
2022 J jnl
Twin neural network regression is a semi-supervised regression algorithm.
Mach. Learn. Sci. Technol.
Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn
2022 J jnl
Unsupervised Learning of Rydberg Atom Array Phase Diagram with Siamese Neural Networks.
CoRR
Zakaria Patel, Ejaaz Merali, Sebastian Johann Wetzel
2021 A* conf
Logic Guided Genetic Algorithms (Student Abstract).
AAAI
Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh
2021 J jnl
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm.
CoRR
Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn
2020 J jnl
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks.
CoRR
Sebastian Johann Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh
2020 J jnl
Logic Guided Genetic Algorithms.
CoRR
Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh
2020 J jnl
Twin Neural Network Regression.
CoRR
Sebastian Johann Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn
2019 J jnl
Spectral Reconstruction with Deep Neural Networks.
CoRR
Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf, Manuel Scherzer, Julian M. Urban, Sebastian Johann Wetzel, Nicolas Wink, Felix Ziegler
2017 J jnl
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders.
CoRR
Sebastian Johann Wetzel