Pan Kessel
Publications by Year
Research Areas
Model Reduction and Neural Networks, Theoretical and Computational Physics, Explainable Artificial Intelligence (XAI), Neural Networks and Applications, Hydrocarbon exploration and reservoir analysis
Most-Cited Works
- → SchNetPack: A Deep Learning Toolbox For Atomistic Systems(2018)441 cited
- → Explanations can be manipulated and geometry is to blame(2019)145 cited
- → Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models(2021)115 cited
- → Asymptotically unbiased estimation of physical observables with neural samplers(2020)112 cited
- → Higher spin interactions in four-dimensions: Vasiliev versus Fronsdal(2016)99 cited
- → Towards robust explanations for deep neural networks(2021)41 cited
- → Fairwashing Explanations with Off-Manifold Detergent(2020)35 cited
- → Higher spins and matter interacting in dimension three(2015)34 cited
- → Cubic interactions of massless bosonic fields in three dimensions. II. Parity-odd and Chern-Simons vertices(2018)34 cited