Competing Growth and Urns
- Daniel Ahlberg | Uppsala University, Sweden
We study survival among two competing types in two settings: a planar growth model related to two-neighbour bootstrap percolation, and a system of urns with graph-based interactions. In the urn scheme, each vertex of a graph $G$ has an associated urn containing some number of either blue or red balls (but not both). At each time step, a ball is chosen uniformly at random from all those currently present in the system, a ball of the same colour is added to each neighbouring urn, and balls in the same urn but of different colours annihilate on a one-for-one basis. We show that, for every connected graph $G$ and every initial configuration, only one colour survives almost surely. As a corollary, we deduce that in the two-type growth model on $\Z^2$, one of the colours only infects a finite number of sites with probability one. This is joint work with Simon Griffiths, Rob Morris and Svante Janson.
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Yuval Peres
Principal Researcher
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Series: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
- Dr. Pascal O. Zinn
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
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Improving text prediction accuracy using neurophysiology
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Tongue-Gesture Recognition in Head-Mounted Displays
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
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Audio-based Toxic Language Detection
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
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Towards Mainstream Brain-Computer Interfaces (BCIs)
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Learning Structured Models for Safe Robot Control
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