Alexander Mathiasen

According to our database1, Alexander Mathiasen authored at least 8 papers between 2017 and 2024.

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Bibliography

2024
Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory.
CoRR, 2024

2023
Generating QM1B with PySCF<sub>IPU</sub>.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020
One Reflection Suffice.
CoRR, 2020

Fast Fréchet Inception Distance.
CoRR, 2020

What if Neural Networks had SVDs?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Margin-Based Generalization Lower Bounds for Boosted Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Minimal Margin Maximization with Boosting.
Proceedings of the 36th International Conference on Machine Learning, 2019

2017
Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D.
CoRR, 2017


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