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2020 – today
- 2024
[i7]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 abs/2402.04030 (2024)- 2021
- [c2]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. BMVC 2021: 43 - [i6]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. CoRR abs/2103.13701 (2021) - [i5]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
:
On Quantitative Evaluations of Counterfactuals. CoRR abs/2111.00177 (2021) - 2020
- [c1]Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin:
What if Neural Networks had SVDs? NeurIPS 2020 - [i4]Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho:
MeLIME: Meaningful Local Explanation for Machine Learning Models. CoRR abs/2009.05818 (2020) - [i3]Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin:
What if Neural Networks had SVDs? CoRR abs/2009.13977 (2020) - [i2]Alexander Mathiasen, Frederik Hvilshøj:
Fast Fréchet Inception Distance. CoRR abs/2009.14075 (2020) - [i1]Alexander Mathiasen, Frederik Hvilshøj:
One Reflection Suffice. CoRR abs/2009.14554 (2020)
Coauthor Index
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