Melanie Weber
Melanie Weber
Oxford, Mathematical Institute
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Characterizing Complex Networks with Forman-Ricci Curvature and Associated Geometric Flows
M Weber, E Saucan, J Jost
Journal of Complex Networks 5 (4), 527-550, 2017
492017
EGAD: Ultra-fast functional analysis of gene networks
S Ballouz, M Weber, P Pavlidis, J Gillis
Bioinformatics 33 (4), 612-614, 2016
442016
Coarse Geometry of Evolving Networks
M Weber, E Saucan, J Jost
Journal of Complex Networks 6 (5), 706--732, 2018
29*2018
Forman-Ricci flow for change detection in large dynamics data sets
M Weber, J Jost, E Saucan
Axioms 5 (4), doi: 10.3390/axioms5040026, 2016
292016
Discrete Curvatures and Network Analysis
E Saucan, A Samal, M Weber, J Jost
MATCH 80 (3), 605-622, 2018
242018
Projection-free nonconvex stochastic optimization on Riemannian manifolds
M Weber, S Sra
IMA Journal of Numerical Analysis, 2021
13*2021
Forman's Ricci curvature - From networks to hypernetworks
E Saucan, M Weber
Complex Networks and Their Applications VII. Studies in Computational …, 2019
112019
Curvature-based Methods for Brain Network Analysis
M Weber, J Stelzer, E Saucan, A Naitsat, G Lohmann, J Jost
arXiv:1707.00180, 2017
102017
Riemannian Optimization via Frank-Wolfe Methods
M Weber, S Sra
arXiv:1710.10770, 2017
9*2017
Robust Large-Margin Learning in Hyperbolic Space
M Weber, M Zaheer, AS Rawat, A Menon, S Kumar
Advances in Neural Information Processing Systems 34, 2020
72020
Heuristic framework for multiscale testing of the multi-manifold hypothesis
FP Medina, L Ness, M Weber, KY Djima
Research in Data Science, 47-80, 2019
42019
Curvature and Representation Learning: Identifying Embedding Spaces for Relational Data
M Weber, M Nickel
NeurIPS Relational Representation Learning, 2018
42018
Detecting the Coarse Geometry of Networks
M Weber, J Jost, E Saucan
NeurIPS Relational Representation Learning, 2018
42018
Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model
M Weber, PD Maia, JN Kutz
Frontiers in Neuroscience 11, 623, 2017
42017
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning
M Weber
International Conference on Artificial Intelligence and Statistics 108, 266-276, 2020
32020
Optimal control with learning on the fly: a toy problem
CL Fefferman, B Guillen Pegueroles, CW Rowley, M Weber
Revista Matematica Iberoamericana 37 (1), 2021
22021
Identifying biases in legal data: An algorithmic fairness perspective
J Sargent, M Weber
EAAMO 2021, 2021
2021
Controlling Unknown Linear Dynamics with Bounded Multiplicative Regret
J Carruth, MF Eggl, C Fefferman, CW Rowley, M Weber
arXiv preprint arXiv:2109.06350, 2021
2021
On Geometric Optimization, Learning and Control
M Weber
Princeton University, 2021
2021
Riemannian Frank-Wolfe Methods and Applications
M Weber, S Sra
2021 Joint Mathematics Meetings (JMM), 2021
2021
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Articles 1–20