| 2008 |
|---|
| 8 | EE | Fabian H. Sinz,
Matthias Bethge:
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction.
NIPS 2008: 1521-1528 |
| 2007 |
|---|
| 7 | EE | Fabian H. Sinz,
Olivier Chapelle,
Alekh Agarwal,
Bernhard Schölkopf:
An Analysis of Inference with the Universum.
NIPS 2007 |
| 2006 |
|---|
| 6 | EE | Jason Weston,
Ronan Collobert,
Fabian H. Sinz,
Léon Bottou,
Vladimir Vapnik:
Inference with the Universum.
ICML 2006: 1009-1016 |
| 5 | EE | Ronan Collobert,
Fabian H. Sinz,
Jason Weston,
Léon Bottou:
Trading convexity for scalability.
ICML 2006: 201-208 |
| 4 | EE | Ronan Collobert,
Fabian H. Sinz,
Jason Weston,
Léon Bottou:
Large Scale Transductive SVMs.
Journal of Machine Learning Research 7: 1687-1712 (2006) |
| 2005 |
|---|
| 3 | EE | Joaquin Quiñonero Candela,
Carl Edward Rasmussen,
Fabian H. Sinz,
Olivier Bousquet,
Bernhard Schölkopf:
Evaluating Predictive Uncertainty Challenge.
MLCW 2005: 1-27 |
| 2004 |
|---|
| 2 | EE | Fabian H. Sinz,
Joaquin Quiñonero Candela,
Gökhan H. Bakir,
Carl Edward Rasmussen,
Matthias O. Franz:
Learning Depth from Stereo.
DAGM-Symposium 2004: 245-252 |
| 1 | EE | Dilan Görür,
Carl Edward Rasmussen,
Andreas S. Tolias,
Fabian H. Sinz,
Nikos Logothetis:
Modelling Spikes with Mixtures of Factor Analysers.
DAGM-Symposium 2004: 391-398 |
