Sam T. Roweis

Computer Science · Physical Sciences

42h-index36.1kcitations76works0.02yr avg
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Research Topics

Neural Networks and Applications(10), Face and Expression Recognition(9), Blind Source Separation Techniques(9), Speech and Audio Processing(8), Music and Audio Processing(8)

Publications76 total

kcorrect: Calculate K-corrections between observed and desired bandpasses
ascl·2017· 2 cited
On the Convergence of Bound Optimization Algorithms
arXiv (Cornell University)·2012· 55 citedOpen Access
Astrometry.net: Astrometric calibration of images
ascl·2012· 10 cited
Collaborative Filtering and the Missing at Random Assumption
arXiv (Cornell University)·2012· 186 citedOpen Access
Recommender systems: missing data and statistical model estimation
International Joint Conference on Artificial Intelligence·2011· 69 cited
Two Distributed-State Models For Generating High-Dimensional Time Series
Journal of Machine Learning Research·2011· 116 cited
Extreme Deconvolution: Density Estimation using Gaussian Mixtures in the Presence of Noisy, Heterogeneous and Incomplete Data
Astrophysics Source Code Library·2010· 2 cited
ASTROMETRY.NET: BLIND ASTROMETRIC CALIBRATION OF ARBITRARY ASTRONOMICAL IMAGES
The Astronomical Journal·2010· 974 citedOpen Access
THE VELOCITY DISTRIBUTION OF NEARBY STARS FROM<i>HIPPARCOS</i>DATA. I. THE SIGNIFICANCE OF THE MOVING GROUPS
The Astrophysical Journal·2009· 58 citedOpen Access
An Adversarial View of Covariate Shift and a Minimax Approach
The MIT Press eBooks·2008· 3 cited
BLIND DATE: USING PROPER MOTIONS TO DETERMINE THE AGES OF HISTORICAL IMAGES
The Astronomical Journal·2008· 4 citedOpen Access
Automated Astrometry (Invited)
ASPC·2008· 1 cited
Proceedings of the 25th international conference on Machine learning
2008· 5.5k cited
Learning stick-figure models using nonparametric Bayesian priors over trees
2008· 19 cited
An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
The Astrophysical Journal·2008· 3 citedOpen Access
Proceedings, Twenty-fifth International Conference on Machine Learning
University of Helsinki eBooks·2008· 60 cited
CLEANING THE USNO-B CATALOG THROUGH AUTOMATIC DETECTION OF OPTICAL ARTIFACTS
The Astronomical Journal·2007· 35 citedOpen Access
Convex Learning with Invariances
2007· 97 cited
Proceedings of the 20th International Conference on Neural Information Processing Systems
2007· 241 cited
Modeling Dyadic Data with Binary Latent Factors
The MIT Press eBooks·2007· 178 cited
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Frequent Co-authors

Zoubin Ghahramani(6), Geoffrey E. Hinton(5), Ruslan Salakhutdinov(4), David W. Hogg(4), Erik Winfree(4), Paul W. K. Rothemund(4), Leonard M. Adleman(4), Radford M. Neal(4), Lawrence K. Saul(3), Michael R. Blanton(3), Keir Mierle(3), Amir Globerson(3), Andrew Emili(3), Rob Fergus(2), Barun Singh(2), Aaron Hertzmann(2), William T. Freeman(2), Jacob Goldberger(2), Dustin Lang(2), Graham W. Taylor(2)