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Optimizing the marginal likelihood encoding the idea of Occam's razor leads to more sparsifiable neural networks. The title is šŸ”„
āš”ļø Excited to introduce ZAPBench, our #ICLR2025 spotlight: The Zebrafish Activity Prediction Benchmark measures progress in predicting neural activity within an entire vertebrate brain (70k+ neurons!) Explore interactive visualizations, datasets, code + paper: google-research.github.io/zapbench šŸ§ šŸ§Ŗ
Dec 10, 2024
Mar 4, 2025
ZAPBench evaluates how well different models can predict the activity of over 70,000 neurons in a novel larval zebrafish dataset.
google-research.github.io
ZAPBench
Alex Immer
Jan-Matthis Lueckmann
šŸ“¢ Excited to present our work at #NeurIPS2024! šŸ“„ "Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood" Read it here: arxiv.org/abs/2402.15978 Details in šŸ§µ
Dec 6, 2024
Vincent Fortuin