Max Welling's Publications in Machine Learning

Max Welling, Michal Rosen-Zvi & Geoffrey Hinton (2004)
Exponential Family Harmoniums with an Application to Information Retrieval
NIPS 2004 [ps pdf]

Max Welling, Richard Zemel and Geoffrey Hinton (2003)
Probabilistic Sequential Independent Components Analysis
submitted [ps pdf] 

Max Welling (2004)
On the Choice of Regions for Generalized Belief Propagation
UAI 2004 [ps pdf]

Max Welling, Michal Rosen-Zvi & Yee Whye Teh (2004)
Approximate Inference by Markov Chains on Union Spaces
ICML 2004 [ps pdf]

Max Welling & Yee Whye Teh (2002)
Linear Response Algorithms for Approximate Inference in Graphical Models
Neural Computation 16 [ps]

Max Welling, Geoffrey Hinton and Andriy Mnih (2003)
Wormholes Improve Contrastive Divergence
NIPS 2003 [ps pdf]

Max Welling, Felix Agakov & Chris Williams (2003)
Extreme Components Analysis
NIPS 2003 [ps pdf]

Max Welling & Yee Whye Teh (2003)
Linear Response for Approximate Inference
NIPS 2003 [ps pdf]

Max Welling, Richard Zemel and Geoffrey Hinton (2003)
Efficient Parametric Projection Pursuit Density Estimation
UAI 2003 [ps]

Yee Whye Teh, Max Welling, Simon Osindero & Geoffrey Hinton (2003)
Energy-Based Models for Sparse Overcomplete Representations
Accepted in JMLR [ps]

Yee Whye Teh & Max Welling (2003)
On Improving the Efficiency of the Iterative Proportional Fitting Procedure
AISTATS 2003 [ps]

Max Welling, Richard Zemel and Geoffrey Hinton (2002)
Self-Supervised Boosting
NIPS 2002 [ps]

Max Welling, Geoffrey Hinton and Simon Osindero (2002)
Learning Sparse Topographic Representations with Products of Student-t Distributions
NIPS 2002 [ps]

Max Welling & Yee Whye Teh (2001)
Approximate Inference in Boltzmann Machines
AIJ [ps]

Max Welling & Geoffrey Hinton (2002)
A New Learning Algorithm for Mean Field Boltzmann Machines
ICANN2002, Madrid [ps]

Geoffrey E. Hinton, Max Welling, Yee Whye Teh & Simon K. Osindero (2001)
A New View of ICA
Int. Conf. on Independent Component Analysis and Blind Source Separation, ICA2001, San Diego [ps

Yee Whye Teh & Max Welling (2001)
The Unified Propagation and Scaling Algorithm
NIPS2001, Vancouver [ps]

Max Welling & Markus Weber(2001) 
Positive Tensor Factorization 
Pattern Recognition Letters 22 (12), pp. 1255-1261 [ps

Max Welling & Yee Whye Teh (2001)
Belief Optimization for Binary Networks: A stable Alternative to Loopy Belief Propagation
UAI2001, Seattle, Washington [ps]

Max Welling & Markus Weber(2001) 
A Constrained EM Algorithm for Independent Component Analysis 
neural computation 13 (3), pp. 677-689  [ps]

Markus Weber, Max Welling & Pietro Perona (2000)
Unsupervised Learning of Models for Recognition 
Proc. 6th Europ. Conf. Comp. Vis., ECCV2000, Dublin [ps]

Markus Weber, Max Welling & Pietro Perona (2000) 
Towards Automatic Discovery of Object Categories 
Proc. IEEE Comp. Soc. Conf. Comp. Vis. and Pat. Rec., CVPR20000, Hilton Head Island [ps]

Markus Weber, Wolfgang Einhauser, Max Welling & Pietro Perona (2000)
Viewpoint-Invariant Learning and Detection of Human Heads 
Proc. 4th Int. Conf. Autom. Face and Gesture Rec., FG2000, Grenoble [ps]

Max Welling & Markus Weber (1999) 
Independent Component Analysis of Incomplete Data 
Proceedings of the 6th Annual Joint Symposium on Neural Computation, JNSC99, Pasadena [ps]

M. Weber, M. Welling & P. Perona (1999)
Unsupervised learning of models for visual object class recognition
Proceedings of the 6th Annual Joint Symposium on Neural Computation, JNSC99, Pasadena [ps]



 
 

Max Welling's Technical Reports and Research Notes in Machine Learning

Cristian Sminchisescu, Max Welling and Geoffrey Hinton (2003)
Generalized Darting Monte Carlo
Technical Report [pdf]

Max Welling (2001)
Labelling with Loopy Belief Revision
Research Note [ps]

Max Welling & Geoffrey Hinton (2001)
A New Learning Algorithm for Mean Field Boltzmann Machines
Technical Report GCNU TR 2001-002 [ps]

Yee Whye Teh & Max Welling (2001)
Passing and Bouncing Messages for Generalized Inference
Technical Report GCNU TR 2001-001 [ps]

Max Welling (1999)
Robust cumulant expansions for probability density estimation
Technical Report [ps]
 


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