A. MARTINA NEUMAN

Interdisciplinary mathematician - theorist by training. Ph.D.,UC Berkeley. Ph.D., UC Berkeley; postdoctoral researcher at the University of Vienna. Actively exploring career opportunities that combine growth, impact, and stability.

neumana53 [at] univie [dot] ac [dot] at; marsneuman [dot] work [dot] gmail

@amneuman.bsky.social

US citizen, currently.

What's news (short list)

Works and publications

• My paper exploring the theoretical foundation of contrastive learning on route to get accepted at Journal of Machine Learning Research

• My paper exploring  learning guarantees through metric embedding gets accepted at IEEE Transactions of Information Theory

• A new paper on probing internal looped reasoning dynamics

• My paper  on spiking neural networks accepted at Journal of Machine Learning Research

• A new paper on transductive learning guarantees and small random worlds

• My summary of the convergence of discrete harmonic extensions based on the paper of Bou-Rabee and Gwyne *first version, before the extensive update*

• My thoughts on the interplay between Hebbian learning and preferrential attachment

• A publication with Information and Inference: A Journal of IMA (DOI: 10.1093/imaiai/iaaf007)

• A new paper on practical existence theorem (PET) employing Slepian basis functions and deep learning (2025)

• A new paper exploring learning with spiking neural networks (2024)

(Expecting soon)

• A new paper on adaptive learning

• A new paper on consistency of graph-based algorithms

• A new paper on spiking neural networks

Talks

• I will present a poster on probing internal looped reasoning dynamics at FOCM26

• I will present at SIAM DS 26

• I presented consistency of augmentation graph Laplacian and contrastive learning at SampTA 25

Current collaboration network