Sebastian Wetzel

Sebastian Wetzel profile picture
Joint Postdoctoral Researcher PI/NRC
Perimeter Institute for Theoretical Physics
Areas of research:
Theoretical Physics / Machine Learning intersection
  • 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
  • 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