Three papers accepted at NIPS

We had three papers accepted at NIPS this year– Jan-Matthis’ and Pedro’s paper “Flexible statistical inference for mechanistic models of neural dynamics” and Marcel’s paper Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations were accepted for poster presentations. Artur’s paper Fast amortized inference of neural activity from calcium imaging data with variational autoencoders was selected for a spotlight. There were 3240 submissions to NIPS this year, 678 of which were accepted at the conference, and 112 of which for spotlights.