| Numerically solving parametric families of high-dimensional Kolmogorov partial differential equations via deep learning J Berner, M Dablander, P Grohs Advances in neural information processing systems 33, 16615-16627, 2020 | 43 | 2020 |
| Exploring QSAR models for activity-cliff prediction M Dablander, T Hanser, R Lambiotte, GM Morris Journal of Cheminformatics 15 (1), 47, 2023 | 9 | 2023 |
| Siamese Neural Networks Work for Activity Cliff Prediction M Dablander, GM Morris, R Lambiotte, T Hanser 4th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry Symposium, 2021 | 2 | 2021 |
| Tourism Forecasting and Environment A Smith, M Dablander, CO Puiu, B Metherall, W Lee, R Ab Razak, ... | | 2024 |
| Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints M Dablander, T Hanser, R Lambiotte, GM Morris arXiv preprint arXiv:2403.17954, 2024 | | 2024 |
| Investigating graph neural networks and classical feature-extraction techniques in activity-cliff and molecular property prediction MF Dablander University of Oxford, 2023 | | 2023 |
| Determining the conductance of networks created by randomly dispersed cylinders S Appella, A Atayev, O Bond, B Collins, M Dablander, N Fadeev, A Lacey, ... | | 2021 |
| Multivariate Network Analysis of Cerebral and Systemic Variables for Assessement of Injury Following Hypoxic Ischaemic Encephalopathy M Dablander, S Mitra, G Bale, M Dinan, C Uria-Avellanal, D Price, ... Summer Meeting of The Neonatal Society (2017, Brighton, UK), 2017 | | 2017 |
| Direct and Iterative Implementations of the Spectral Chebyshev Method for the 2D Poisson Equation M Dablander, I Vrubleuski, V Volkov International Scientific and Practical Conference (2015, Brest, Belarus), 2015 | | 2015 |
Julius BernerCalifornia Institute of TechnologyVerified email at caltech.edu
