| Generalization in data-driven models of primary visual cortex. | 0 | 0.34 | 2021 |
| Generalization in data-driven models of primary visual cortex | 0 | 0.34 | 2021 |
| Towards robust vision by multi-task learning on monkey visual cortex. | 0 | 0.34 | 2021 |
| Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses | 0 | 0.34 | 2020 |
| Rotation-invariant clustering of neuronal responses in primary visual cortex | 0 | 0.34 | 2020 |
| Rotation-invariant clustering of neuronal responses in primary visual cortex. | 0 | 0.34 | 2020 |
| A rotation-equivariant convolutional neural network model of primary visual cortex. | 0 | 0.34 | 2019 |
| Learning from brains how to regularize machines | 0 | 0.34 | 2019 |
| Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. | 0 | 0.34 | 2018 |
| A rotation-equivariant convolutional neural network model of primary visual cortex. | 0 | 0.34 | 2018 |
| Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. | 0 | 0.34 | 2017 |
| Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. | 1 | 0.35 | 2016 |
| What is the limit of redundancy reduction with divisive normalization? | 0 | 0.34 | 2013 |
| Least Informative Dimensions. | 1 | 0.36 | 2013 |
| Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. | 0 | 0.34 | 2009 |
| The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction | 4 | 0.47 | 2008 |
| An Analysis of Inference with the Universum | 4 | 0.50 | 2007 |
| Trading convexity for scalability | 121 | 5.51 | 2006 |
| Modelling Spikes with Mixtures of Factor Analysers | 2 | 0.42 | 2004 |
| Learning Depth from Stereo | 10 | 1.38 | 2004 |
