| Deep learning through the lens of example difficulty R Baldock, H Maennel, B Neyshabur Advances in Neural Information Processing Systems 34, 10876-10889, 2021 | 162 | 2021 |
| Construction of text classifiers D Korolev, H Maennel, M Heiler, M Schaer, T Hofmann, W Gajewski, ... US Patent 8,868,402, 2014 | 88 | 2014 |
| What Do Neural Networks Learn When Trained With Random Labels? H Maennel, I Alabdulmohsin, I Tolstikhin, RJN Baldock, O Bousquet, ... arXiv preprint arxiv:2006.10455, 2020 | 87 | 2020 |
| Gradient descent quantizes relu network features H Maennel, O Bousquet, S Gelly arXiv preprint arXiv:1803.08367, 2018 | 78 | 2018 |
| Targeting of digital content to geographic regions L Van Dijk, JD Oldham, H Maennel, K Duleba, Z Szamonek, F Herring, ... US Patent 9,553,936, 2017 | 37 | 2017 |
| Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments OT Unke, M Stöhr, S Ganscha, T Unterthiner, H Maennel, S Kashubin, ... Science Advances 10 (14), eadn4397, 2024 | 36 | 2024 |
| Locating source code when stopping in a debugger H Maennel, H Heydarian, SW Provine US Patent 7,516,445, 2009 | 34 | 2009 |
| Accurate machine learned quantum-mechanical force fields for biomolecular simulations OT Unke, M Stöhr, S Ganscha, T Unterthiner, H Maennel, S Kashubin, ... arXiv preprint arXiv:2205.08306, 2022 | 31 | 2022 |
| Classifying documents using multiple classifiers D Korolev, H Maennel US Patent 8,713,007, 2014 | 28 | 2014 |
| The impact of reinitialization on generalization in convolutional neural networks I Alabdulmohsin, H Maennel, D Keysers arXiv preprint arXiv:2109.00267, 2021 | 26 | 2021 |
| Constructing petri nets from traces for diagnostics H Maennel US Patent 8,276,124, 2012 | 20 | 2012 |
| Using latency and route information to estimate location Z Szamonek, L Van Dijk, H Maennel US Patent App. 13/831,507, 2014 | 19 | 2014 |
| Refining location detection from a query stream H Maennel US Patent 9,159,030, 2015 | 11 | 2015 |
| Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates C Riquelme, H Penedones, D Vincent, H Maennel, S Gelly, TA Mann, ... Advances in Neural Information Processing Systems, 11895-11905, 2019 | 10 | 2019 |
| Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates C Riquelme, H Penedones, D Vincent, H Maennel, S Gelly, TA Mann, ... Advances in Neural Information Processing Systems, 11872-11882, 2019 | 10 | 2019 |
| Enhanced detection of like resources JB Batali, RF Day, L Engebretsen, H Maennel, JW Merrill, MS Weaver US Patent App. 12/324,334, 2014 | 10 | 2014 |
| E3x: E (3)-equivariant deep learning made easy OT Unke, H Maennel CoRR, 2024 | 9 | 2024 |
| Geographic targeting L Van Dijk, JD Oldham, H Maennel, K Duleba, Z Szamonek, F Herring, ... US Patent App. 13/838,898, 2015 | 9 | 2015 |
| Updating location relevant user behavior statistics from classification errors H Maennel US Patent App. 13/829,406, 2015 | 9 | 2015 |
| Temporal difference learning with neural networks-study of the leakage propagation problem H Penedones, D Vincent, H Maennel, S Gelly, T Mann, A Barreto arXiv preprint arXiv:1807.03064, 2018 | 8 | 2018 |
