Neural networks with linear threshold activations: structure and algorithms

15 November 2021

Papers citing "Neural networks with linear threshold activations: structure and algorithms"

4 / 4 papers shown

Title
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 84 32 0 29 Apr 2023
Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes Christian Haase Christoph Hertrich Georg Loho 13 21 0 24 Feb 2023
$Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete$ Training Fully Connected Neural Networks is $\exists\mathbb{R}$ -Complete Daniel Bertschinger Christoph Hertrich Paul Jungeblut Tillmann Miltzow Simon Weber OffRL 40 30 0 04 Apr 2022
Benefits of depth in neural networks Matus Telgarsky 121 600 0 14 Feb 2016