Scholar
A Martina Neuman
Google Scholar ID: 8PeerU8AAAAJ
Math postdoc researcher, University of Vienna
harmonic analysis
manifold learning
high dimensional probability
information theory
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Publications
17 items
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Academic Achievements
Paper on spiking neural networks accepted at JMLR
New paper on transductive learning guarantees and small random worlds
Publication in Information and Inference: A Journal of IMA (DOI: 10.1093/imaiai/iaaf007)
New 2025 paper on practical existence theorem (PET) using Slepian basis functions and deep learning
New 2025 paper exploring theoretical foundations of contrastive learning
New 2024 paper on learning with spiking neural networks
New 2024 paper on learning guarantees via metric embedding theory and statistical optimal transport
Upcoming papers on manifold learning and spiking neural networks
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