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cs.CV2021★ 2 cited
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
Louis Thiry, Michael Arbel, Eugene Belilovsky +1
A recent line of work showed that various forms of convolutional kernel methods can be competitive with standard supervised deep convolutional networks on datasets like CIFAR-10, o…
cs.CV2020
Synchronizing Probability Measures on Rotations via Optimal Transport
Tolga Birdal, Michael Arbel, Umut Şimşekli +1
We introduce a new paradigm, , for synchronizing graphs with measure-valued edges. We formulate this problem as maximization of the cycle-consiste…