Sebastian Wetzel
Research Interests
Theoretical Physics / Machine Learning intersection
Recent Publications
- Logic Guided Genetic Algorithms D Ashok, J Scott, SJ Wetzel, M Panju, V Ganesh Proceedings of the AAAI Conference on Artificial Intelligence 35 (18)
- Twin Neural Network Regression is a Semi-Supervised Regression Algorithm SJ Wetzel, RG Melko, I Tamblyn arXiv preprint arXiv: 2106.06124
- Orbital-Free Density Functional Theory with Small Datasets and Deep Learning K Ryczko, SJ Wetzel, RG Melko, I Tamblyn arXiv preprint arXiv: 2104.05408
- Twin Neural Network Regression SJ Wetzel, K Ryczko, RG Melko, I Tamblyn arXiv preprint arXiv: 2012.14873
- Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks, Sebastian J. Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh, arXiv: 2003.04299
Seminars
- Interpreting artificial neural networks in the context of theoretical physics, Artificial Scientific Discovery, University of Erlangen-Nuremberg
- Interpreting artificial neural networks in the context of theoretical physics, Mila, Quebec AI Institute
- Interpreting artificial neural networks in the context of theoretical physics, CAP Virtual Congress
- Siamese Neural Networks Learn Symmetry Invariants and Conserved Quantities, ML Club, CEA Saclay, Johns Hopkins, IAC, Paris Observatory, UC Santa Cruz
- Can We Trust Phase Diagrams Produced by Artificial Neural Networks?, Paris
- Machine Learning Phase Diagrams of the Ising Model and SU(2) Lattice Gauge Theory, Waterloo
- Twin Neural Network Regression
- Siamese Neural Networks, 24th march 2020
- PIRSA:19040090, Can we trust phase diagrams produced by artificial neural networks?, 2019-04-11, Machine Learning Initiative