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Max Welling: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

Markus Weber, Max Welling, Pietro Perona
Towards Automatic Discovery of Object Categories. [Citation Graph (0, 0)][DBLP]
CVPR, 2000, pp:2101-0 [Conf]
Markus Weber, Max Welling, Pietro Perona
Unsupervised Learning of Models for Recognition. [Citation Graph (0, 0)][DBLP]
ECCV (1), 2000, pp:18-32 [Conf]
Markus Weber, Wolfgang Einhäuser, Max Welling, Pietro Perona
Viewpoint-Invariant Learning and Detection of Human Heads. [Citation Graph (0, 0)][DBLP]
FG, 2000, pp:20-27 [Conf]
Max Welling, Geoffrey E. Hinton
A New Learning Algorithm for Mean Field Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
ICANN, 2002, pp:351-357 [Conf]
Alex Holub, Max Welling, Pietro Perona
Combining Generative Models and Fisher Kernels for Object Recognition. [Citation Graph (0, 0)][DBLP]
ICCV, 2005, pp:136-143 [Conf]
Peter V. Gehler, Alex Holub, Max Welling
The rate adapting poisson model for information retrieval and object recognition. [Citation Graph (0, 0)][DBLP]
ICML, 2006, pp:337-344 [Conf]
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
Approximate inference by Markov chains on union spaces. [Citation Graph (0, 0)][DBLP]
ICML, 2004, pp:- [Conf]
Kenichi Kurihara, Max Welling, Yee Whye Teh
Collapsed Variational Dirichlet Process Mixture Models. [Citation Graph (0, 0)][DBLP]
IJCAI, 2007, pp:2796-2801 [Conf]
Peter V. Gehler, Max Welling
Products of Edge-perts. [Citation Graph (0, 0)][DBLP]
NIPS, 2005, pp:- [Conf]
Geoffrey E. Hinton, Max Welling, Andriy Mnih
Wormholes Improve Contrastive Divergence. [Citation Graph (0, 0)][DBLP]
NIPS, 2003, pp:- [Conf]
Yee Whye Teh, Max Welling
The Unified Propagation and Scaling Algorithm. [Citation Graph (0, 0)][DBLP]
NIPS, 2001, pp:953-960 [Conf]
Max Welling, Felix V. Agakov, Christopher K. I. Williams
Extreme Components Analysis. [Citation Graph (0, 0)][DBLP]
NIPS, 2003, pp:- [Conf]
Max Welling, Geoffrey E. Hinton, Simon Osindero
Learning Sparse Topographic Representations with Products of Student-t Distributions. [Citation Graph (0, 0)][DBLP]
NIPS, 2002, pp:1359-1366 [Conf]
Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton
Exponential Family Harmoniums with an Application to Information Retrieval. [Citation Graph (0, 0)][DBLP]
NIPS, 2004, pp:- [Conf]
Max Welling, Yee Whye Teh
Linear Response for Approximate Inference. [Citation Graph (0, 0)][DBLP]
NIPS, 2003, pp:- [Conf]
Max Welling, Richard S. Zemel, Geoffrey E. Hinton
Self Supervised Boosting. [Citation Graph (0, 0)][DBLP]
NIPS, 2002, pp:665-672 [Conf]
Max Welling, Kenichi Kurihara
Bayesian K-Means as a "Maximization-Expectation" Algorithm. [Citation Graph (0, 0)][DBLP]
SDM, 2006, pp:- [Conf]
Max Welling, Yee Whye Teh
Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation. [Citation Graph (0, 0)][DBLP]
UAI, 2001, pp:554-561 [Conf]
Max Welling, Richard S. Zemel, Geoffrey E. Hinton
Efficient Parametric Projection Pursuit Density Estimation. [Citation Graph (0, 0)][DBLP]
UAI, 2003, pp:575-582 [Conf]
Max Welling, Yee Whye Teh
Approximate inference in Boltzmann machines. [Citation Graph (0, 0)][DBLP]
Artif. Intell., 2003, v:143, n:1, pp:19-50 [Journal]
Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton
Energy-Based Models for Sparse Overcomplete Representations. [Citation Graph (0, 0)][DBLP]
Journal of Machine Learning Research, 2003, v:4, n:, pp:1235-1260 [Journal]
Simon Osindero, Max Welling, Geoffrey E. Hinton
Topographic Product Models Applied to Natural Scene Statistics. [Citation Graph (0, 0)][DBLP]
Neural Computation, 2006, v:18, n:2, pp:381-414 [Journal]
Max Welling, Yee Whye Teh
Linear Response Algorithms for Approximate Inference in Graphical Models. [Citation Graph (0, 0)][DBLP]
Neural Computation, 2004, v:16, n:1, pp:197-221 [Journal]
Max Welling, Markus Weber
A Constrained EM Algorithm for Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
Neural Computation, 2001, v:13, n:3, pp:677-689 [Journal]
Max Welling, Markus Weber
Positive tensor factorization. [Citation Graph (0, 0)][DBLP]
Pattern Recognition Letters, 2001, v:22, n:12, pp:1255-1261 [Journal]
Max Welling, Joseph J. Lim
A Distributed Message Passing Algorithm for Sensor Localization. [Citation Graph (0, 0)][DBLP]
ICANN (1), 2007, pp:767-775 [Conf]
Sridevi Parise, Max Welling
Bayesian Model Scoring in Markov Random Fields. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:1073-1080 [Conf]
Yee Whye Teh, David Newman, Max Welling
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:1353-1360 [Conf]
Kenichi Kurihara, Max Welling, Nikos A. Vlassis
Accelerated Variational Dirichlet Process Mixtures. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:761-768 [Conf]
Max Welling, Thomas P. Minka, Yee Whye Teh
Structured Region Graphs: Morphing EP into GBP. [Citation Graph (0, 0)][DBLP]
UAI, 2005, pp:609-614 [Conf]
Max Welling
On the Choice of Regions for Generalized Belief Propagation. [Citation Graph (0, 0)][DBLP]
UAI, 2004, pp:585-592 [Conf]
Ian R. Porteous, Alex Ihter, Padhraic Smyth, Max Welling
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. [Citation Graph (0, 0)][DBLP]
UAI, 2006, pp:- [Conf]
Max Welling, Sridevi Parise
Bayesian Random Fields: The Bethe-Laplace Approximation. [Citation Graph (0, 0)][DBLP]
UAI, 2006, pp:- [Conf]
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization. [Citation Graph (, )][DBLP]
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures. [Citation Graph (, )][DBLP]
Unsupervised learning of visual taxonomies. [Citation Graph (, )][DBLP]
Incremental learning of nonparametric Bayesian mixture models. [Citation Graph (, )][DBLP]
Memory bounded inference in topic models. [Citation Graph (, )][DBLP]
Herding dynamical weights to learn. [Citation Graph (, )][DBLP]
Dynamical Products of Experts for Modeling Financial Time Series. [Citation Graph (, )][DBLP]
Bayesian Extreme Components Analysis. [Citation Graph (, )][DBLP]
Fast collapsed gibbs sampling for latent dirichlet allocation. [Citation Graph (, )][DBLP]
Base Station Localization in Search of Empty Spectrum Spaces in Cognitive Radio Networks. [Citation Graph (, )][DBLP]
Collapsed Variational Inference for HDP. [Citation Graph (, )][DBLP]
Distributed Inference for Latent Dirichlet Allocation. [Citation Graph (, )][DBLP]
Infinite State Bayes-Nets for Structured Domains. [Citation Graph (, )][DBLP]
Asynchronous Distributed Learning of Topic Models. [Citation Graph (, )][DBLP]
Deterministic Latent Variable Models and Their Pitfalls. [Citation Graph (, )][DBLP]
Hybrid Variational/Gibbs Collapsed Inference in Topic Models. [Citation Graph (, )][DBLP]

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