Raif M. Rustamov

Affiliations:
  • Stanford University, Computer Science Department
  • Drew University, Department of Mathematics and Computer Science
  • Purdue University, Department of Mathematics


According to our database1, Raif M. Rustamov authored at least 28 papers between 2007 and 2023.

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Bibliography

2023
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs.
Proceedings of the International Conference on Machine Learning, 2023

2020
Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Closed-form Expressions for Maximum Mean Discrepancy with Applications to Wasserstein Auto-Encoders.
CoRR, 2019

2018
Interpretable Graph-Based Semi-Supervised Learning via Flows.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Distributed learning of human mobility patterns from cellular network data.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016
Continuous-Flow Graph Transportation Distances.
CoRR, 2016

2014
Earth mover's distances on discrete surfaces.
ACM Trans. Graph., 2014

Hyperalignment of Multi-subject fMRI Data by Synchronized Projections.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Compact and Informative Representation of Functional Connectivity for Predictive Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Wasserstein Propagation for Semi-Supervised Learning.
Proceedings of the 31th International Conference on Machine Learning, 2014

Stable and Informative Spectral Signatures for Graph Matching.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Map-based exploration of intrinsic shape differences and variability.
ACM Trans. Graph., 2013

Wavelets on Graphs via Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Graph Matching with Anchor Nodes: A Learning Approach.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Interpolated eigenfunctions for volumetric shape processing.
Vis. Comput., 2011

Average Interpolating Wavelets on Point Clouds and Graphs
CoRR, 2011

Multiscale Biharmonic Kernels.
Comput. Graph. Forum, 2011

2010
A versatile framework for shape description.
Vis. Comput., 2010

Biharmonic distance.
ACM Trans. Graph., 2010

Barycentric Coordinates on Surfaces.
Comput. Graph. Forum, 2010

Robust Volumetric Shape Descriptor.
Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010

2009
Interior Distance Using Barycentric Coordinates.
Comput. Graph. Forum, 2009

On Mesh Editing, Manifold Learning, and Diffusion Wavelets.
Proceedings of the Mathematics of Surfaces XIII, 2009

Template Based Shape Descriptor.
Proceedings of the 2nd Eurographics Workshop on 3D Object Retrieval, 2009

2008
Augmented planar reflective symmetry transform.
Vis. Comput., 2008

2007
Augmented Symmetry Transforms.
Proceedings of the 2007 International Conference on Shape Modeling and Applications (SMI 2007), 2007

Laplace-Beltrami eigenfunctions for deformation invariant shape representation.
Proceedings of the Fifth Eurographics Symposium on Geometry Processing, Barcelona, 2007


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