Dejan Slepcev

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 20

Top Topics

Graph Laplacian

Supervised Learning

Spectral Clustering

Top Venues

J. Math. Imaging Vis.

SIAM J. Math. Anal.

Publications

Jeff Calder, Sangmin Park, Dejan Slepcev
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. J. Sci. Comput. 92 (2) (2022)
Lantian Xu, Anna Korba, Dejan Slepcev
Accurate Quantization of Measures via Interacting Particle-based Optimization. ICML (2022)
Jeff Calder, Sangmin Park, Dejan Slepcev
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. CoRR (2021)
Katy Craig, Nicolás García Trillos, Dejan Slepcev
Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation. CoRR (2021)
Jeff Calder, Dejan Slepcev, Matthew Thorpe
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates. CoRR (2020)
Nicolás García Trillos, Moritz Gerlach, Matthias Hein, Dejan Slepcev
Error Estimates for Spectral Convergence of the Graph Laplacian on Random Geometric Graphs Toward the Laplace-Beltrami Operator. Found. Comput. Math. 20 (4) (2020)
Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. ICML (2020)
Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. CoRR (2020)
Antonio Esposito, Francesco S. Patacchini, André Schlichting, Dejan Slepcev
Nonlocal-interaction equation on graphs: gradient flow structure and continuum limit. CoRR (2019)
Dejan Slepcev, Matthew Thorpe
Analysis of p-Laplacian Regularization in Semisupervised Learning. SIAM J. Math. Anal. 51 (3) (2019)
Jeff Calder, Dejan Slepcev
Properly-weighted graph Laplacian for semi-supervised learning. CoRR (2018)
Yousuf Soliman, Dejan Slepcev, Keenan Crane
Optimal cone singularities for conformal flattening. ACM Trans. Graph. 37 (4) (2018)
Matthew M. Dunlop, Dejan Slepcev, Andrew M. Stuart, Matthew Thorpe
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms. CoRR (2018)
Soheil Kolouri, Se Rim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde
Optimal Mass Transport: Signal processing and machine-learning applications. IEEE Signal Process. Mag. 34 (4) (2017)
Dejan Slepcev, Matthew Thorpe
Analysis of $p$-Laplacian Regularization in Semi-Supervised Learning. CoRR (2017)
Slav Kirov, Dejan Slepcev
Multiple Penalized Principal Curves: Analysis and Computation. J. Math. Imaging Vis. 59 (2) (2017)
Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev
Distance for Signal Analysis. J. Math. Imaging Vis. 59 (2) (2017)
Soheil Kolouri, Serim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde
Transport-based analysis, modeling, and learning from signal and data distributions. CoRR (2016)
Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev
Distance for Signal Analysis. CoRR (2016)
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
Consistency of Cheeger and Ratio Graph Cuts. J. Mach. Learn. Res. 17 (2016)
Nicolás García Trillos, Dejan Slepcev
A variational approach to the consistency of spectral clustering. CoRR (2015)
Slav Kirov, Dejan Slepcev
Multiple penalized principal curves: analysis and computation. CoRR (2015)
Soheil Kolouri, Dejan Slepcev, Gustavo K. Rohde
A symmetric deformation-based similarity measure for shape analysis. ISBI (2015)
Matt Elsey, Dejan Slepcev
Mean-Curvature Flow of Voronoi Diagrams. J. Nonlinear Sci. 25 (1) (2015)
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
Consistency of Cheeger and Ratio Graph Cuts. CoRR (2014)
Xin Yang Lu, Dejan Slepcev
Properties of Minimizers of Average-Distance Problem via Discrete Approximation of Measures. SIAM J. Math. Anal. 45 (5) (2013)
Wei Wang, Dejan Slepcev, Saurav Basu, John A. Ozolek, Gustavo K. Rohde
A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images. Int. J. Comput. Vis. 101 (2) (2013)
Gustavo K. Rohde, Wei Wang, Saurav Basu, Dejan Slepcev
A linear transport-based embedding method for analyzing biomedical images. ACSCC (2012)
Wei Wang, John A. Ozolek, Dejan Slepcev, Ann B. Lee, Cheng Chen, Gustavo K. Rohde
An Optimal Transportation Approach for Nuclear Structure-Based Pathology. IEEE Trans. Medical Imaging 30 (3) (2011)
Wei Wang, Cheng Chen, Tao Peng, Dejan Slepcev, John A. Ozolek, Gustavo K. Rohde
A graph-based method for detecting characteristic phenotypes from biomedical images. ISBI (2010)
Dejan Slepcev
Coarsening in Nonlocal Interfacial Systems. SIAM J. Math. Anal. 40 (3) (2008)
Felix Otto, Tobias Rump, Dejan Slepcev
Coarsening Rates for a Droplet Model: Rigorous Upper Bounds. SIAM J. Math. Anal. 38 (2) (2006)