Publications

Filter by type:

M. Weber, S. Sra. Riemannian Optimization via Frank-Wolfe Methods. Under Review, 2021.

Preprint Code Project Video

J. Sargent, M. Weber. Identifying biases in legal data: An algorithmic fairness perspective. In ACM EAAMO, 2021.

Preprint Poster

J. Carruth, M. F. Eggl, C. Fefferman, C. W. Rowley, M. Weber. Controlling Unknown Linear Dynamics with Bounded Multiplicative Regret. Rev. Mat. Iberoamericana, 2021.

Preprint Project

M. Weber, S. Sra. Projection-free nonconvex stochastic optimization on Riemannian manifolds. IMA Journal of Numerical Analysis, 2021.

Preprint PDF Project

M. Weber. On Geometric Optimization, Learning and Control. PhD Thesis, Princeton University., 2021.

C. Fefferman, B. Guillen Pegueroles, C. W. Rowley, M. Weber. Optimal control with learning on the fly. Rev. Mat. Iberoamericana, 2021.

M. Weber, M. Zaheer, A. Singh Rawat, A. Menon, S. Kumar. Robust Large-Margin Learning in Hyperbolic Space. NeurIPS, 2020.

Preprint PDF Project

E. E. Groth, M. Weber, T. Bahmer, F. Pedersen, A. Kirsten, D. Börnigen, K. F. Rabe, H. Watz, O. Ammerpohl, T. Goldmann. Exploration of the sputum methylome and omics deconvolution by quadratic programming in molecular profiling of asthma and COPD: the road to sputum omics 2.0. In Respiratory Research, 2020.

M. Weber. Neighborhood Growth Determines Geometric Priors for Relational Representation Learning. AISTATS, 2020.

Preprint PDF Project Video

E. Saucan, M. Weber. Forman's Ricci curvature - From networks to hypernetworks. In Compl. Nets., 2019.

M. Weber, J. Jost, E. Saucan. Detecting the Coarse Geometry of Networks. In NeurIPS R2L, 2018.

Preprint PDF Project Poster

M. Weber, M. Nickel. Curvature and Representation Learning: Identifying Embedding Spaces for Relational Data. In NeurIPS R2L, 2018.

PDF Project Poster

M. Weber, E. Saucan, J. Jost. Coarse Geometry of Evolving Networks. In J. Compl. Net., 2018.

Preprint PDF Project

E. Saucan, A. Samal, M. Weber, J. Jost. Discrete Curvatures and Network Analysis. In MATCH, 2018.

M. Weber, E. Saucan, J. Jost. Characterizing complex networks with Forman-Ricci curvature and associated geometric flows. In J. Compl. Net., 2017.

Preprint PDF Project

M. Weber, P. M. Maia, J. N. Kutz. Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model. In Front. Neuro., 2017.

Preprint PDF Code Project

M. Weber, J. Stelzer, E. Saucan, A. Naitsat, G. Lohmann, J. Jost. Curvature-based Methods for Brain Network Analysis. Technical Report, 2017.

Preprint Project

S. Ballouz *, M. Weber *, P. Pavlidis, J. Gillis. EGAD: Ultra-fast Functional Analysis of Gene Networks. In Bioinformatics, 2016.

Preprint PDF Code

M. Weber. Event Classification with Convolutional Neural Networks for Diboson Channels in the ATLAS Experiment at the Large Hadron Collider. Undergraduate Thesis, TU Dresden., 2016.

M. Weber. Forman-Ricci Curvature and Associated Geometric Flows for Complex Networks. Undergraduate Thesis, U Leipzig., 2016.

M. Weber, J. Jost, E. Saucan. Forman-Ricci Flow for Change Detection in Large Dynamic Data Sets. In Axioms, 2016.

Preprint PDF Project