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Geemi Wellawatte
Geemi Wellawatte
Post-Doctoral Fellow - EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Model agnostic generation of counterfactual explanations for molecules
GP Wellawatte, A Seshadri, AD White
Chemical science 13 (13), 3697-3705, 2022
882022
Assessment of chemistry knowledge in large language models that generate code
AD White, GM Hocky, HA Gandhi, M Ansari, S Cox, GP Wellawatte, ...
Digital Discovery 2 (2), 368-376, 2023
502023
Graph neural network based coarse-grained mapping prediction
Z Li, GP Wellawatte, M Chakraborty, HA Gandhi, C Xu, AD White
Chemical science 11 (35), 9524-9531, 2020
452020
A perspective on explanations of molecular prediction models
GP Wellawatte, HA Gandhi, A Seshadri, AD White
Journal of Chemical Theory and Computation 19 (8), 2149-2160, 2023
192023
Neural potentials of proteins extrapolate beyond training data
GP Wellawatte, GM Hocky, AD White
The Journal of Chemical Physics 159, 085103, 2023
92023
Do large language models know chemistry?
AD White, GM Hocky, HA Gandhi, M Ansari, S Cox, GP Wellawatte, ...
82022
Hoomd-tf: Gpu-accelerated, online machine learning in the hoomd-blue molecular dynamics engine
R Barrett, M Chakraborty, D Amirkulova, H Gandhi, G Wellawatte, A White
Journal of Open Source Software 5 (51), 2020
52020
Extracting human interpretable structure-property relationships in chemistry using XAI and large language models
GP Wellawatte, P Schwaller
arXiv preprint arXiv:2311.04047, 2023
22023
Why does that molecule smell?
A Seshadri, HA Gandhi, GP Wellawatte, AD White
22022
Correction: Graph neural network based coarse-grained mapping prediction
Z Li, GP Wellawatte, M Chakraborty, HA Gandhi, C Xu, AD White
Chemical Science 12 (35), 11922-11922, 2021
2021
Theory and application of graph neural networks for molecular modeling
G Wellawatte, Z Yang, A White
2020 Virtual AIChE Annual Meeting, 2020
2020
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Articles 1–11