Matveev, A., Meirovitch, Y., Saribekyan, H., Jakubiuk, W., Kaler, T., Odor, G., Budden, D., Zlateski, A., Shavit, N. A Multicore Path to Connectomics-on-Demand . PPoPP 2017 (Best Paper Nominee).

Meirovitch, Y., Matveev, A., Saribekyan, H., Budden, D., Rolnick, D., Odor, G., Knowles-Barley, S., Thouis, R., Pfister, H., Lichtman, J., Shavit, N. A Multi-Pass Approach to Large-Scale Connectomics . arXiv 2017.

Lichtman, J., Pfister, H., and Shavit, N. The big data challenges of connectomics. Nature Neuroscience, 17, pp. 1448-1454 (November 2014).

Zeyuan Allen-Zhu, Rati Gelashvili, Silvio Micali, and Nir Shavit. Sparse sign-consistent Johnson-Lindenstrauss matrices: Compression with neuroscience-based constraints. Proceedings of the National Academy of Sciences USA; 111(47), pp. 16872-16876 (October 2014).

Shibani, Santurkar, David Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit. Toward Streaming Synapse Detection with Compositional ConvNets.  CoRR abs/1702.07386.

Shibani Santurkar, David Budden, and Nir Shavit. Generative Compression.  CoRR.abs/1703.01467.


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