Raif M. Rustamov

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 9

Top Topics

Supervised Learning

Top Venues

ACM Trans. Graph.

Publications

Raif M. Rustamov, Subhabrata Majumdar
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs. ICML (2023)
Shuai Zhao, Xiaopeng Jiang, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Raif M. Rustamov, Manoop Talasila, Syed Anwar Aftab, Yi Chen, Cristian Borcea
Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach. SECON (2020)
Shuai Zhao, Wen-Ling Hsu, George Ma, Tan Xu, Guy Jacobson, Raif M. Rustamov
Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services. KDD (2020)
Raif M. Rustamov
Closed-form Expressions for Maximum Mean Discrepancy with Applications to Wasserstein Auto-Encoders. CoRR (2019)
Raif M. Rustamov, James T. Klosowski
Interpretable Graph-Based Semi-Supervised Learning via Flows. AAAI (2018)
Nan Hu, Raif M. Rustamov, Leonidas J. Guibas
Graph Matching with Anchor Nodes: A Learning Approach. CoRR (2018)
Tong Wu, Raif M. Rustamov, Colin Goodall
Distributed learning of human mobility patterns from cellular network data. CISS (2017)
Raif M. Rustamov, James T. Klosowski
Interpretable Graph-Based Semi-Supervised Learning via Flows. CoRR (2017)
Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher
Continuous-Flow Graph Transportation Distances. CoRR (2016)
Raif M. Rustamov, David Romano, Allan L. Reiss, Leonidas J. Guibas
Compact and Informative Representation of Functional Connectivity for Predictive Modeling. MICCAI (3) (2014)
Nan Hu, Raif M. Rustamov, Leonidas J. Guibas
Stable and Informative Spectral Signatures for Graph Matching. CVPR (2014)
Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher
Wasserstein Propagation for Semi-Supervised Learning. ICML (2014)
Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher
Earth mover's distances on discrete surfaces. ACM Trans. Graph. 33 (4) (2014)
Raif M. Rustamov, Leonidas J. Guibas
Hyperalignment of Multi-subject fMRI Data by Synchronized Projections. MLINI@NIPS (2014)
Raif M. Rustamov, Leonidas J. Guibas
Wavelets on Graphs via Deep Learning. NIPS (2013)
Raif M. Rustamov, Maks Ovsjanikov, Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas
Map-based exploration of intrinsic shape differences and variability. ACM Trans. Graph. 32 (4) (2013)
Nan Hu, Raif M. Rustamov, Leonidas J. Guibas
Graph Matching with Anchor Nodes: A Learning Approach. CVPR (2013)
Raif M. Rustamov
Interpolated eigenfunctions for volumetric shape processing. Vis. Comput. 27 (11) (2011)
Raif M. Rustamov
Average Interpolating Wavelets on Point Clouds and Graphs CoRR (2011)
Raif M. Rustamov
Multiscale Biharmonic Kernels. Comput. Graph. Forum 30 (5) (2011)
Yaron Lipman, Raif M. Rustamov, Thomas A. Funkhouser
Biharmonic distance. ACM Trans. Graph. 29 (3) (2010)
Raif M. Rustamov
A versatile framework for shape description. Vis. Comput. 26 (10) (2010)
Raif M. Rustamov
Robust Volumetric Shape Descriptor. 3DOR@Eurographics (2010)
Raif M. Rustamov
Barycentric Coordinates on Surfaces. Comput. Graph. Forum 29 (5) (2010)
Raif M. Rustamov
Template Based Shape Descriptor. 3DOR@Eurographics (2009)
Raif M. Rustamov
On Mesh Editing, Manifold Learning, and Diffusion Wavelets. IMA Conference on the Mathematics of Surfaces (2009)
Raif M. Rustamov, Yaron Lipman, Thomas A. Funkhouser
Interior Distance Using Barycentric Coordinates. Comput. Graph. Forum 28 (5) (2009)
Raif M. Rustamov
Augmented planar reflective symmetry transform. Vis. Comput. 24 (6) (2008)
Raif M. Rustamov
Laplace-Beltrami eigenfunctions for deformation invariant shape representation. Symposium on Geometry Processing (2007)
Raif M. Rustamov
Augmented Symmetry Transforms. Shape Modeling International (2007)