Nicholas Gao
Technical University of Munich
Department of Informatics - I26
Boltzmannstr. 3
85748 Garching b. München
Germany
Room: 00.11.056
E-Mail: gaoni@in.tum.de
GitHub: n-gao
Google scholar: Google scholar
Research Focus
- Machine learning for graphs and molecules
- Machine learning-based ab-initio quantum chemistry
- Graph neural networks
Selected Publications
- Generalizing Neural Wave Functions
Nicholas Gao, Stephan Günnemann
International Conference on Machine Learning (ICML), 2023 - Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
Nicholas Gao, Stephan Günnemann
International Conference on Learning Represetation (ICLR), 2023 - Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
Nicholas Gao, Stephan Günnemann
International Conference on Learning Represetation (ICLR), 2022 (spotlight) - Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur, Nicholas Gao, Marin Biloš, Stephan Günnemann
Conference on Neural Information Processing Systems (NeurIPS), 2020 (oral)
For a full list, see Google scholar.
Education
- 2017 - 2020: M.Sc. Computer Science, Technical University of Munich
- Master's thesis: Fast and Flexible Temporal Point Processes using Triangular Maps
- top 10% - passed with high distinction
- 2014 - 2017: B.Sc. Computer Science, Technical University of Brunswick
- Bachelor's thesis: Visualizing the IoT with Mixed Reality
- top 10%
Academic Honors and Awards
- 2019: Deutschlandstipendium awarded by the Technical University of Munich
- 2016: Deutschlandstipendium awarded by the Technical University of Brunswick