| Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 45 | 2023 |
| Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions N Gao, S Günnemann International Conference on Learning Representations, 2022 | 31 | 2022 |
| Neural network ansatz for periodic wave functions and the homogeneous electron gas M Wilson, S Moroni, M Holzmann, N Gao, F Wudarski, T Vegge, ... Physical Review B 107 (23), 235139, 2023 | 30* | 2023 |
| Fast and flexible temporal point processes with triangular maps O Shchur, N Gao, M Biloš, S Günnemann Advances in neural information processing systems 33, 73-84, 2020 | 26 | 2020 |
| Simulations of state-of-the-art fermionic neural network wave functions with diffusion Monte Carlo M Wilson, N Gao, F Wudarski, E Rieffel, NM Tubman arXiv preprint arXiv:2103.12570, 2021 | 16 | 2021 |
| High-dimensional similarity search with quantum-assisted variational autoencoder N Gao, M Wilson, T Vandal, W Vinci, R Nemani, E Rieffel Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 16 | 2020 |
| Sampling-free Inference for Ab-Initio Potential Energy Surface Networks N Gao, S Günnemann International Conference on Learning Representations, 2023 | 15 | 2023 |
| Generalizing Neural Wave Functions N Gao, S Günnemann International Conference on Machine Learning, 2023 | 14 | 2023 |
| Ewald-based Long-Range Message Passing for Molecular Graphs A Kosmala, J Gasteiger, N Gao, S Günnemann International Conference on Machine Learning, 2023 | 10 | 2023 |
| Quantum robustness verification: A hybrid quantum-classical neural network certification algorithm N Franco, T Wollschläger, N Gao, JM Lorenz, S Günnemann 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 7 | 2022 |
| Uncertainty estimation for molecules: Desiderata and methods T Wollschläger, N Gao, B Charpentier, MA Ketata, S Günnemann International Conference on Machine Learning, 37133-37156, 2023 | 5 | 2023 |
| On Representing Electronic Wave Functions with Sign Equivariant Neural Networks N Gao, S Günnemann AI4DifferentialEquations in Science at ICLR, 2024 | | 2024 |
Stephan GünnemannProfessor of Computer Science, Technical University of MunichVerified email at in.tum.de
