Mathiasen, Alexander

5 publications

NeurIPS 2023 Generating QM1B with PySCF$_{\text{IPU}}$ Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters

ICMLW 2023 Repurposing Density Functional Theory to Suit Deep Learning Alexander Mathiasen, Hatem Helal, Paul Balanca, Kerstin Klaeser, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W Fitzgibbon, Dominic Masters

NeurIPS 2020 What if Neural Networks Had SVDs? Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin

NeurIPS 2019 Margin-Based Generalization Lower Bounds for Boosted Classifiers Allan Grønlund, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson

ICML 2019 Optimal Minimal Margin Maximization with Boosting Alexander Mathiasen, Kasper Green Larsen, Allan Grønlund