This is a list of publications on work supported by MATH+ mostly in the classical context of research papers. If you are looking for other types of research output like software, models, data sets or presentations, please refer to the MATH+ Zenodo community (https://zenodo.org/communities/mathplus).
2019
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Journal Article
In: Journal of Nonlinear Science, vol. 30, pp. 283–315, 2019.
Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions Journal Article
In: Nature Communications, vol. 10, no. 1, pp. 5024, 2019, ISSN: 2041-1723.
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning Journal Article
In: Advances in Neural Information Processing Systems 32, Proceedings of the NeurIPS 2019 Conference, 2019.
New Perspectives on PESP: T-Partitions and Separators Proceedings Article
In: Cacchiani, Valentina; Marchetti-Spaccamela, Alberto (Ed.): 19th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2019), pp. 2:1–2:18, Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 2019, ISBN: 978-3-95977-128-3, (ISSN: 2190-6807).
A geodesic mixed effects model in Kendall’s shape space Book Section
In: Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, pp. 209–218, Springer, 2019.
Talk: Towards a Formalisation of Moral Responsibility Conference
KOSMOS Conference, Berlin, Germany, 2019.
Talk: Measures of individual and groupwise ex-post and ex-ante responsibility in extensive-form games with unquantifiable uncertainty Conference
Formal Ethics, Gent, Belgium, 2019.
Talk: Responsibility Measures for Action Selection Conference
UNA Europa doctoral seminar, Paris, France, 2019.
A Geodesic Mixed Effects Model in Kendall's Shape Space Miscellaneous
7th MICCAI workshop on Mathematical Foundations of Computational Anatomy (MFCA), Shenzhen, China, 2019.
Geometric Deep Learning with Application to Sewing Pattern Reconstruction Miscellaneous
Zalando Data Science Guild, 2019, (Invited Talk).
Visually Assisted Reconstruction of Geometric Objects from Image Data Miscellaneous
Dagstuhl-Seminar "Visual Computing in Materials Sciences“, 2019, (Invited Talk).