Soledad Villar
Soledad Villar
Vahvistettu sähköpostiosoite verkkotunnuksessa jhu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Relax, no need to round: Integrality of clustering formulations
P Awasthi, AS Bandeira, M Charikar, R Krishnaswamy, S Villar, R Ward
Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015
1062015
On the equivalence between graph isomorphism testing and function approximation with gnns
Z Chen, S Villar, L Chen, J Bruna
arXiv preprint arXiv:1905.12560, 2019
882019
Clustering subgaussian mixtures by semidefinite programming
DG Mixon, S Villar, R Ward
Information and Inference: A Journal of the IMA 6 (4), 389-415, 2017
812017
A note on learning algorithms for quadratic assignment with graph neural networks
A Nowak, S Villar, AS Bandeira, J Bruna
stat 1050, 22, 2017
562017
Can graph neural networks count substructures?
Z Chen, L Chen, S Villar, J Bruna
arXiv preprint arXiv:2002.04025, 2020
492020
Revised note on learning quadratic assignment with graph neural networks
A Nowak, S Villar, AS Bandeira, J Bruna
2018 IEEE Data Science Workshop (DSW), 1-5, 2018
442018
Probably certifiably correct k-means clustering
T Iguchi, DG Mixon, J Peterson, S Villar
Mathematical Programming, 2015
402015
On the tightness of an SDP relaxation of k-means
T Iguchi, DG Mixon, J Peterson, S Villar
arXiv preprint arXiv:1505.04778, 2015
292015
Sunlayer: Stable denoising with generative networks
DG Mixon, S Villar
arXiv preprint arXiv:1803.09319, 2018
242018
A polynomial-time relaxation of the Gromov-Hausdorff distance
S Villar, AS Bandeira, AJ Blumberg, R Ward
arXiv preprint arXiv:1610.05214, 2016
132016
Manifold optimization for k-means clustering
T Carson, DG Mixon, S Villar
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
122017
Seabed classification using physics-based modeling and machine learning
C Frederick, S Villar, ZH Michalopoulou
The Journal of the Acoustical Society of America 148 (2), 859-872, 2020
102020
Experimental performance of graph neural networks on random instances of max-cut
W Yao, AS Bandeira, S Villar
Wavelets and Sparsity XVIII 11138, 111380S, 2019
102019
Clustering subgaussian mixtures with k-means
DG Mixon, S Villar, R Ward
Information Theory Workshop (ITW), 2016 IEEE, 211-215, 2016
102016
Optimal marker gene selection for cell type discrimination in single cell analyses
B Dumitrascu, S Villar, DG Mixon, BE Engelhardt
Nature communications 12 (1), 1-8, 2021
92021
Fair redistricting is hard
R Kueng, DG Mixon, S Villar
Theoretical Computer Science 791, 28-35, 2019
92019
Squeezefit: Label-aware dimensionality reduction by semidefinite programming
C McWhirter, DG Mixon, S Villar
IEEE Transactions on Information Theory 66 (6), 3878-3892, 2019
72019
Projected power iteration for network alignment
E Onaran, S Villar
Wavelets and Sparsity XVII 10394, 103941C, 2017
42017
MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
AJ Blumberg, M Carriere, MA Mandell, R Rabadan, S Villar
arXiv preprint arXiv:2001.01666, 2020
32020
Monte Carlo approximation certificates for k-means clustering
DG Mixon, S Villar
arXiv preprint arXiv:1710.00956, 2017
32017
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20