Events at Physics

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Events on Wednesday, May 6th, 2020

Physics ∩ ML Seminar
Natural Graph Networks
Time: 11:00 am - 12:00 pm
Place: Please register for this online event:
Speaker: Taco Cohen, Qualcomm AI Research
Abstract: Message passing algorithms are the core of most neural networks that process information on graphs. Conventionally, such methods are invariant under permutation of the messages and hence forget how the information flows through the network. Analyzing the local symmetries of the graph, we show that a more general message passing network can in fact be sensitive the flow of information by using different kernels on different edges. This leads to an equivariant message passing algorithm that is more expressive than conventional invariant message passing, overcoming fundamental limitations of the latter. We derive the weight sharing and kernel constraints by modelling the symmetries using elementary category theory and show that equivariant kernels are “just” natural transformations between two functors. This general formulation, which we call Natural Networks, gives a unified theory to model many distinct forms of equivariant neural networks.
Host: Gary Shiu
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Department Meeting
Time: 12:15 pm - 1:15 pm
Place: Online
Speaker: Sridhara Dasu, Department Chair
Host: Sridhara Dasu
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