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Found 4 papers, 0 papers with code
Inferring stochastic rates from heterogeneous snapshots of particle positions
Altogether, the results serve as a basis for more detailed investigations of subcellular spatial patterns of RNA molecules and other stochastically evolving populations that can only be observed for single instants in their time evolution.
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
We propose a novel statistical inference methodology for multiway count data that is corrupted by false zeros that are indistinguishable from true zero counts.
Neuromorphic scaling advantages for energy-efficient random walk computation
Computing stands to be radically improved by neuromorphic computing (NMC) approaches inspired by the brain's incredible efficiency and capabilities.
Solving a steady-state PDE using spiking networks and neuromorphic hardware
The widely parallel, spiking neural networks of neuromorphic processors can enable computationally powerful formulations.
