| 2009 |
| 26 | EE | Mikkel N. Schmidt,
Ole Winther,
Lars Kai Hansen:
Bayesian Non-negative Matrix Factorization.
ICA 2009: 540-547 |
| 2008 |
| 25 | EE | Manfred Opper,
Ulrich Paquet,
Ole Winther:
Improving on Expectation Propagation.
NIPS 2008: 1241-1248 |
| 24 | EE | Man-Hung Eric Tang,
Anders Krogh,
Ole Winther:
BayesMD: Flexible Biological Modeling for Motif Discovery.
Journal of Computational Biology 15(10): 1347-1363 (2008) |
| 23 | EE | Jan Christian Bryne,
Eivind Valen,
Man-Hung Eric Tang,
Troels Torben Marstrand,
Ole Winther,
Isabelle da Piedade,
Anders Krogh,
Boris Lenhard,
Albin Sandelin:
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update.
Nucleic Acids Research 36(Database-Issue): 102-106 (2008) |
| 2007 |
| 22 | EE | Morten Hansen,
Ole Winther,
Lars P. B. Christensen:
On Sphere Detection and Minimum-Phase Prefiltered Reduced-State Sequence Estimation.
GLOBECOM 2007: 4237-4241 |
| 21 | EE | Ole Winther,
Kaare Brandt Petersen:
Flexible and efficient implementations of Bayesian independent component analysis.
Neurocomputing 71(1-3): 221-233 (2007) |
| 2006 |
| 20 | EE | Thomas Grotkjær,
Ole Winther,
Birgitte Regenberg,
Jens Nielsen,
Lars Kai Hansen:
Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
Bioinformatics 22(1): 58-67 (2006) |
| 2005 |
| 19 | EE | Manfred Opper,
Ole Winther:
Expectation Consistent Approximate Inference.
Journal of Machine Learning Research 6: 2177-2204 (2005) |
| 18 | EE | Kaare Brandt Petersen,
Ole Winther,
Lars Kai Hansen:
On the Slow Convergence of EM and VBEM in Low-Noise Linear Models.
Neural Computation 17(9): 1921-1926 (2005) |
| 2004 |
| 17 | EE | Manfred Opper,
Ole Winther:
Approximate Inference in Probabilistic Models.
ALT 2004: 494-504 |
| 16 | EE | Manfred Opper,
Ole Winther:
Expectation Consistent Free Energies for Approximate Inference.
NIPS 2004 |
| 2003 |
| 15 | EE | Manfred Opper,
Ole Winther:
Variational Linear Response.
NIPS 2003 |
| 14 | EE | Lehel Csató,
Manfred Opper,
Ole Winther:
Tractable inference for probabilistic data models.
Complexity 8(4): 64-68 (2003) |
| 2002 |
| 13 | EE | Joaquin Quiñonero Candela,
Ole Winther:
Incremental Gaussian Processes.
NIPS 2002: 1001-1008 |
| 12 | EE | Pedro A. d. F. R. Højen-Sørensen,
Ole Winther,
Lars Kai Hansen:
Mean-Field Approaches to Independent Component Analysis.
Neural Computation 14(4): 889-918 (2002) |
| 11 | EE | Pedro A. d. F. R. Højen-Sørensen,
Ole Winther,
Lars Kai Hansen:
Analysis of functional neuroimages using ICA with adaptive binary sources.
Neurocomputing 49(1-4): 213-225 (2002) |
| 2001 |
| 10 | EE | Lehel Csató,
Manfred Opper,
Ole Winther:
TAP Gibbs Free Energy, Belief Propagation and Sparsity.
NIPS 2001: 657-663 |
| 2000 |
| 9 | | Ole Winther:
Computing with Finite and Infinite Networks.
NIPS 2000: 336-342 |
| 8 | | Pedro A. d. F. R. Højen-Sørensen,
Ole Winther,
Lars Kai Hansen:
Ensemble Learning and Linear Response Theory for ICA.
NIPS 2000: 542-548 |
| 7 | | Manfred Opper,
Ole Winther:
Gaussian Processes for Classification: Mean-Field Algorithms.
Neural Computation 12(11): 2655-2684 (2000) |
| 1999 |
| 6 | EE | Lehel Csató,
Ernest Fokoué,
Manfred Opper,
Bernhard Schottky,
Ole Winther:
Efficient Approaches to Gaussian Process Classification.
NIPS 1999: 251-257 |
| 1998 |
| 5 | EE | Manfred Opper,
Ole Winther:
Mean Field Methods for Classification with Gaussian Processes.
NIPS 1998: 309-315 |
| 1997 |
| 4 | | Ole Winther,
Sara A. Solla:
Bayesian online learning in the perceptron.
ESANN 1997 |
| 1996 |
| 3 | EE | Søren Halkjær,
Ole Winther:
The Effect of Correlated Input Data on the Dynamics of Learning.
NIPS 1996: 169-175 |
| 2 | EE | Manfred Opper,
Ole Winther:
A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks.
NIPS 1996: 225-231 |
| 1993 |
| 1 | EE | Jan Gorodkin,
Lars Kai Hansen,
Anders Krogh,
Claus Svarer,
Ole Winther:
A Quantitative Study Of Pruning By Optimal Brain Damage.
Int. J. Neural Syst. 4(2): 159-169 (1993) |