Panos Achlioptas
Panos Achlioptas
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TitleCited byYear
Learning representations and generative models for 3d point clouds
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas
arXiv preprint arXiv:1707.02392, 2017
168*2017
Two-locus association mapping in subquadratic time
P Achlioptas, B Schölkopf, K Borgwardt
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
212011
Composite Shape Modeling via Latent Space Factorization
A Dubrovina, F Xia, P Achlioptas, M Shalah, L Guibas
arXiv preprint arXiv:1901.02968, 2019
42019
ShapeGlot: Learning Language for Shape Differentiation
P Achlioptas, J Fan, RXD Hawkins, ND Goodman, LJ Guibas
arXiv preprint arXiv:1905.02925, 2019
22019
Latent space representation for shape analysis and learning
R Huang, P Achlioptas, L Guibas, M Ovsjanikov
arXiv preprint arXiv:1806.03967, 2018
22018
Limit Shapes–A Tool for Understanding Shape Differences and Variability in 3D Model Collections
R Huang, P Achlioptas, L Guibas, M Ovsjanikov
Computer Graphics Forum 38 (5), 187-202, 2019
12019
OperatorNet: Recovering 3D Shapes From Difference Operators
R Huang, MJ Rakotosaona, P Achlioptas, L Guibas, M Ovsjanikov
arXiv preprint arXiv:1904.10754, 2019
12019
Stochastic Gradient Descent in Theory and Practice
P Achlioptas
Finding Structure in CyTOF Data
P Achlioptas
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Articles 1–9