Alexander Mathiasen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Hopfield Networks

Margin Maximization

Bregman Divergences

Boosted Classifiers

Top Venues

Publications

Alexander Mathiasen, Hatem Helal, Paul Balanca, Adam Krzywaniak, Ali Parviz, Frederik Hvilshøj, Blazej Banaszewski, Carlo Luschi, Andrew William Fitzgibbon
Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory. CoRR (2024)
Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters
. CoRR (2023)
Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters
. NeurIPS (2023)
Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin
What if Neural Networks had SVDs? CoRR (2020)
Alexander Mathiasen, Frederik Hvilshøj
One Reflection Suffice. CoRR (2020)
Alexander Mathiasen, Frederik Hvilshøj
Fast Fréchet Inception Distance. CoRR (2020)
Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin
What if Neural Networks had SVDs? NeurIPS (2020)
Allan Grønlund, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson
Margin-Based Generalization Lower Bounds for Boosted Classifiers. NeurIPS (2019)
Allan Grønlund, Kasper Green Larsen, Alexander Mathiasen
Optimal Minimal Margin Maximization with Boosting. CoRR (2019)
Allan Grønlund, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson
Margin-Based Generalization Lower Bounds for Boosted Classifiers. CoRR (2019)
Alexander Mathiasen, Kasper Green Larsen, Allan Grønlund
Optimal Minimal Margin Maximization with Boosting. ICML (2019)
Allan Grønlund, Kasper Green Larsen, Alexander Mathiasen, Jesper Sindahl Nielsen
Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D. CoRR (2017)