Towards articulatory speech recognition: learning smooth maps to recover articulator information. - Sam T. Roweis; Abeer Alwan (EUROSPEECH, 1997)

Computing with Action Potentials. - John J. Hopfield; Carlos D. Brody; Sam T. Roweis (NIPS, 1997)

EM Algorithms for PCA and SPCA. - Sam T. Roweis (NIPS, 1997)

Learning Nonlinear Dynamical Systems Using an EM Algorithm. - Zoubin Ghahramani; Sam T. Roweis (NIPS, 1998)

A Sticker-Based Model for DNA Computation. - Sam T. Roweis; Erik Winfree; Richard Burgoyne; Nickolas V. Chelyapov; Myron F. Goodman; Paul W. K. Rothemund; Leonard M. Adleman (J. Comput. Biol., 1998)

Constrained Hidden Markov Models. - Sam T. Roweis (NIPS, 1999)

On Applying Molecular Computation to the Data Encryption Standard. - Leonard M. Adleman; Paul W. K. Rothemund; Sam T. Roweis; Erik Winfree (J. Comput. Biol., 1999)

On the Reduction of Errors in DNA Computation. - Sam T. Roweis; Erik Winfree (J. Comput. Biol., 1999)

A Unifying Review of Linear Gaussian Models. - Sam T. Roweis; Zoubin Ghahramani (Neural Comput., 1999)

One Microphone Source Separation. - Sam T. Roweis (NIPS, 2000)

Global Coordination of Local Linear Models. - Sam T. Roweis; Lawrence K. Saul; Geoffrey E. Hinton (NIPS, 2001)

An Alternate Objective Function for Markovian Fields. - Sham M. Kakade; Yee Whye Teh; Sam T. Roweis (ICML, 2002)

Stochastic Neighbor Embedding. - Geoffrey E. Hinton; Sam T. Roweis (NIPS, 2002)

Automatic Alignment of Local Representations. - Yee Whye Teh; Sam T. Roweis (NIPS, 2002)

Simultaneous Localization and Surveying with Multiple Agents. - Sam T. Roweis; Ruslan Salakhutdinov (European Summer School on Multi-AgentControl, 2003)

Adaptive Overrelaxed Bound Optimization Methods. - Ruslan Salakhutdinov; Sam T. Roweis (ICML, 2003)

Optimization with EM and Expectation-Conjugate-Gradient. - Ruslan Salakhutdinov; Sam T. Roweis; Zoubin Ghahramani (ICML, 2003)

Factorial models and refiltering for speech separation and denoising. - Sam T. Roweis (INTERSPEECH, 2003)

Probabilistic Inference of Speech Signals from Phaseless Spectrograms. - Kannan Achan; Sam T. Roweis; Brendan J. Frey (NIPS, 2003)

Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. - Radford M. Neal; Matthew J. Beal; Sam T. Roweis (NIPS, 2003)

Non-linear CCA and PCA by Alignment of Local Models. - Jakob J. Verbeek; Sam T. Roweis; Nikos Vlassis (NIPS, 2003)

On the Convergence of Bound Optimization Algorithms. - Ruslan Salakhutdinov; Sam T. Roweis; Zoubin Ghahramani (UAI, 2003)

Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. - Lawrence K. Saul; Sam T. Roweis (J. Mach. Learn. Res., 2003)

Hierarchical Clustering of a Mixture Model. - Jacob Goldberger; Sam T. Roweis (NIPS, 2004)

Neighbourhood Components Analysis. - Jacob Goldberger; Sam T. Roweis; Geoffrey E. Hinton; Ruslan Salakhutdinov (NIPS, 2004)

Multiple Alignment of Continuous Time Series. - Jennifer Listgarten; Radford M. Neal; Sam T. Roweis; Andrew Emili (NIPS, 2004)

Automatic Speech Processing by Inference in Generative Models. - Sam T. Roweis (Speech Separation by Humans and Machines, 2005)

Unsupervised Learning with Non-Ignorable Missing Data. - Benjamin M. Marlin; Sam T. Roweis; Richard S. Zemel (AISTATS, 2005)

A segment based probabilistic generative model of speech. - Kannan Achan; Sam T. Roweis; Aaron Hertzmann; Brendan J. Frey (ICASSP (5), 2005)

A Statistical Learning Approach To Document Image Analysis. - Kevin Laven; Scott Leishman; Sam T. Roweis (ICDAR, 2005)

Metric Learning by Collapsing Classes. - Amir Globerson; Sam T. Roweis (NIPS, 2005)

Mining student CVS repositories for performance indicators. - Keir Mierle; Kevin Laven; Sam T. Roweis; Greg Wilson (ACM SIGSOFT Softw. Eng. Notes, 2005)

Nightmare at test time: robust learning by feature deletion. - Amir Globerson; Sam T. Roweis (ICML, 2006)

An investigation of computational and informational limits in Gaussian mixture clustering. - Nathan Srebro; Gregory Shakhnarovich; Sam T. Roweis (ICML, 2006)

Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. - Jennifer Listgarten; Radford M. Neal; Sam T. Roweis; Rachel Puckrin; Sean Cutler (NIPS, 2006)

Modeling Dyadic Data with Binary Latent Factors. - Edward Meeds; Zoubin Ghahramani; Radford M. Neal; Sam T. Roweis (NIPS, 2006)

Modeling Human Motion Using Binary Latent Variables. - Graham W. Taylor; Geoffrey E. Hinton; Sam T. Roweis (NIPS, 2006)

Removing camera shake from a single photograph. - Robert Fergus; Barun Singh; Aaron Hertzmann; Sam T. Roweis; William T. Freeman (ACM Trans. Graph., 2006)

Convex Learning with Invariances. - Choon Hui Teo; Amir Globerson; Sam T. Roweis; Alexander J. Smola (NIPS, 2007)

Collaborative Filtering and the Missing at Random Assumption. - Benjamin M. Marlin; Richard S. Zemel; Sam T. Roweis; Malcolm Slaney (UAI, 2007)

Difference detection in LC-MS data for protein biomarker discovery. - Jennifer Listgarten; Radford M. Neal; Sam T. Roweis; Peter Wong; Andrew Emili (Bioinform., 2007)

Visualizing pairwise similarity via semidefinite programming. - Amir Globerson; Sam T. Roweis (AISTATS, 2007)

Learning stick-figure models using nonparametric Bayesian priors over trees. - Edward Meeds; David A. Ross; Richard S. Zemel; Sam T. Roweis (CVPR, 2008)

Recommender Systems, Missing Data and Statistical Model Estimation. - Benjamin M. Marlin; Richard S. Zemel; Sam T. Roweis; Malcolm Slaney (IJCAI, 2011)

Two Distributed-State Models For Generating High-Dimensional Time Series. - Graham W. Taylor; Geoffrey E. Hinton; Sam T. Roweis (J. Mach. Learn. Res., 2011)