Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1d A Grønlund, KG Larsen, A Mathiasen, JS Nielsen, S Schneider, M Song
arXiv preprint arXiv:1701.07204, 2017
65 2017 Backpropagating through Fr\'echet Inception Distance A Mathiasen, F Hvilshøj
arXiv preprint arXiv:2009.14075, 2020
24 2020 Margin-Based Generalization Lower Bounds for Boosted Classifiers A Grønlund, L Kamma, KG Larsen, A Mathiasen, J Nelson
Advances in Neural Information Processing Systems, 11963-11972, 2019
16 2019 Fast Fréchet Inception Distance A Mathiasen, F Hvilshøj
https://arxiv.org/abs/2009.14075, 2020
15 2020 What if Neural Networks had SVDs? A Mathiasen, F Hvilshøj, JR Jørgsen, A Nasery, D Mottin
https://arxiv.org/abs/2009.13977, 0
8 * Optimal Minimal Margin Maximization with Boosting A Mathiasen, KG Larsen, A Grønlund
International Conference on Machine Learning, 4392-4401, 2019
6 2019 Generating QM1B with PySCF A Mathiasen, H Helal, K Klaser, P Balanca, J Dean, C Luschi, D Beaini, ...
Advances in Neural Information Processing Systems 36, 2024
2 2024 One Reflection Suffice A Mathiasen, F Hvilshøj
https://arxiv.org/abs/2009.14554, 0
2 * Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory A Mathiasen, H Helal, P Balanca, A Krzywaniak, A Parviz, F Hvilshøj, ...
arXiv preprint arXiv:2402.04030, 2024
1 2024 Repurposing density functional theory to suit deep learning A Mathiasen, H Helal, P Balanca, K Klaeser, J Dean, C Luschi, D Beaini, ...
1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023
1 2023 Faster Orthogonal Parameterization with Householder Matrices A Mathiasen, F Hvilshøj, JR Jørgensen, A Nasery, D Mottin
ICML Workshop on Invertible Neural Networks and Normalizing Flows, 2020
1 2020 Algorithmic Improvements to Boosting and Neural Networks A Mathiasen
Aarhus Universitet, 2022
2022