14 problems
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Conjecture on identifiable parameters in ReLU architectures with width-one layers
Width-one identifiability conjecture. 1. There exist architectures with for some for which no identifiable parameters exi…
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The depth conjecture for the maximum function in monotone ReLU networks
Let denote the class of continuous piecewise-linear functions in variables, and let denote the functions c…
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Lower-bound conjecture for stably unactivated neurons in wide ReLU networks
Consider architectures with fixed , and suppose that the weights and biases in each layer are selected independently and identically distributed from a…
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Layerwise matrix-closedness conjecture for sparse ReLU networks
Layerwise matrix-closedness conjecture. The set is closed in if and only if, for every tuple of binary diago…
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Necessary-and-sufficient closedness conjecture for shallow sparse ReLU networks
Shallow-network closedness conjecture. The set is closed in if and only if satisfies the se…
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Conjecture relating function-space and finite-set closedness for sparse ReLU networks
Closedness-equivalence conjecture. An architecture has a closed function space on the cube if and only if its realization set is closed on arbitrary finite domains…
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Max-function formulation of the ReLU depth-separation conjecture
Let , and let be the set of continuous piecewise linear functions on computable with hidden layers. Max-function formulation of…
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Hertrich–Lindner–Raginsky–Bach depth-separation conjecture for ReLU networks
Let denote the set of continuous piecewise linear functions defined on and computable with hidden layers. Hertrich–Lindner–Raginsky–Ba…
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The discrete facet-evolution conjecture for ReLU network decision boundaries
Let be the piecewise-linear function represented by a ReLU network, and let be its canonical polyhedral complex. Consider a general training path in the net…
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The Gaussian-regime width conjecture for deep ReLU networks
Consider fully connected deep ReLU networks and their network functions in the setting of random initialization. Gaussian-regime width conjecture. A plausible explanation for the o…
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The generic total H-complexity conjecture for ReLU neural network maps
Generic total H-complexity conjecture. With probability , the total -complexity of is less than or equal to the number of -cells of .
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The H-conforming reduction conjecture for a four-variable maximum
Let be … Let be the hyperplane arrangement consisting of the hyperplanes where two of are equal. A positively homogen…
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The strict depth hierarchy conjecture for ReLU networks
For , let … Here, denotes the class of functions representable by ReLU neural networks with input variables and hidden layers,…
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Conjecture that uniform weight scaling preserves the global number of activation regions
Uniform weight-scaling conjecture. Scaling the weights uniformly should approximately preserve the global number of activation regions.