Size and depth of monotone neural networks: interpolation and approximation

12 July 2022

Papers citing "Size and depth of monotone neural networks: interpolation and approximation"

5 / 5 papers shown

Title
On the Depth of Monotone ReLU Neural Networks and ICNNs Egor Bakaev Florestan Brunck Christoph Hertrich Daniel Reichman Amir Yehudayoff 26 0 0 09 May 2025
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations Davide Sartor Alberto Sinigaglia Gian Antonio Susto 34 0 0 05 May 2025
Neural Networks and (Virtual) Extended Formulations Christoph Hertrich Georg Loho 70 3 0 05 Nov 2024
Robust Reinforcement Learning with Dynamic Distortion Risk Measures Anthony Coache S. Jaimungal 25 1 0 16 Sep 2024
Smooth Min-Max Monotonic Networks Christian Igel 14 0 0 01 Jun 2023