Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D. - Allan Grønlund; Kasper Green Larsen; Alexander Mathiasen; Jesper Sindahl Nielsen (CoRR, 2017)

Optimal Minimal Margin Maximization with Boosting. - Alexander Mathiasen; Kasper Green Larsen; Allan Grønlund (ICML, 2019)

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

What if Neural Networks had SVDs? - Alexander Mathiasen; Frederik Hvilshøj; Jakob Rødsgaard Jørgensen; Anshul Nasery; Davide Mottin (NeurIPS, 2020)

Fast Fréchet Inception Distance. - Alexander Mathiasen; Frederik Hvilshøj (CoRR, 2020)

One Reflection Suffice. - Alexander Mathiasen; Frederik Hvilshøj (CoRR, 2020)

Generating QM1B with PySCFIPU. - Alexander Mathiasen; Hatem Helal; Kerstin Klaser 001; Paul Balanca; Josef Dean; Carlo Luschi; Dominique Beaini; Andrew W. Fitzgibbon; Dominic Masters (NeurIPS, 2023)

HUNIPU: Efficient Hungarian Algorithm on IPUs. - Cheng Huang; Alexander Mathiasen; Josef Dean; Davide Mottin; Ira Assent (ICDEW, 2024)

Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory. - Alexander Mathiasen; Hatem Helal; Paul Balanca; Adam Krzywaniak; Ali Parviz; Frederik Hvilshøj; Blazej Banaszewski; Carlo Luschi; Andrew William Fitzgibbon (CoRR, 2024)