MonoNet: Towards Interpretable Models by Learning Monotonic Features

30 September 2019

Papers citing "MonoNet: Towards Interpretable Models by Learning Monotonic Features"

5 / 5 papers shown

Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations Davide Sartor Alberto Sinigaglia Gian Antonio Susto 32 0 0 05 May 2025
Certified Monotonic Neural Networks Xingchao Liu Xing Han Na Zhang Qiang Liu 16 78 0 20 Nov 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 11 482 0 12 Feb 2020
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 224 201 0 06 Jul 2017
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 46 195 0 06 Apr 2017