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

MeLIME: Meaningful Local Explanation for Machine Learning Models. - Tiago Botari; Frederik Hvilshøj; Rafael Izbicki; André C. P. L. F. de Carvalho (CoRR, 2020)

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

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

ECINN: Efficient Counterfactuals from Invertible Neural Networks. - Frederik Hvilshøj; Alexandros Iosifidis; Ira Assent (BMVC, 2021)

On Quantitative Evaluations of Counterfactuals. - Frederik Hvilshøj; Alexandros Iosifidis; Ira Assent (CoRR, 2021)

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)