Scalable verification of quantized neural networks
T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.

Infinite time horizon safety of Bayesian neural networks
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Lightresponsive dynamic DNAorigamibased plasmonic assemblies
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Controlling SelfAssembly of Nanoparticles Using Light
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Electrostatic co-assembly of nanoparticles with oppositely charged small molecules into static and dynamic superstructures
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Blood-based epigenome-wide analyses of cognitive abilities
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Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation
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Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches
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Identification of neural oscillations and epileptiform changes in human brain organoids
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The positivity of local equivariant Hirzebruch class for toric varieties
K.P. Rychlewicz, Bulletin of the London Mathematical Society 53 (2021) 560–574.

The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks
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A divergence center interpretation of general symmetric Kubo-Ando means, and related weighted multivariate operator means
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Folding polyominoes with holes into a cube
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The excitation spectrum of the Bose gas in the Gross-Pitaevskii regime
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Generation of excitatory and inhibitory neurons from common progenitors via Notch signaling in the cerebellum
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Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
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