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
• Graph neural networks

Selected Publications

• Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
  Nicholas Gao, Stephan Günnemann
  International Conference on Represetation Learning (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)
• High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder
  Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna Nemani, Eleanor Rieffel
  International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2020

For a full list, see Google scholar.

Research Background

• 2020: Master's thesis: Fast and Flexible Temporal Point Processes using Triangular Maps
• 2017: Bachelor's thesis: Visualizing the IoT with Mixed Reality

Education

• 2017 - 2020: M.Sc. Computer Science, Technical University of Munich, passed with high distinction
• 2012 - 2015: B.Sc. Computer Science, Technical University of Brunswick

Academic Honors and Awards

• 2019: Deutschlandstipendium awarded by the Technical University of Munich
• 2016: Deutschlandstipendium awarded by the Technical University of Brunswick