Oral presentation at NeurIPS

The work led jointly with Jonas Kubilius on “Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs” was accepted to NeurIPS as an oral! Only 36 (or 0.5%) out of the 6743 submissions were selected as an oral, so we’re very excited to present our ideas how Machine Learning and Neuroscience can interact again in the form of models of the brain.

The McGovern institute and Robin.ly have also reported about our findings.