POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks

2 November 2022

Papers citing "POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks"

12 / 12 papers shown

Title
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis Long Kiu Chung Shreyas Kousik 205 0 0 22 Jan 2025
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 163 3 0 14 Oct 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints Jean-Baptiste Bouvier Kartik Nagpal Negar Mehr 49 3 0 20 Mar 2024
Deep Networks Always Grok and Here is Why Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk AAML OOD AI4CE 47 20 0 23 Feb 2024
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 35 2 0 02 Oct 2023
A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints A. Konstantinov Lev V. Utkin 27 10 0 19 Jul 2023
RAYEN: Imposition of Hard Convex Constraints on Neural Networks J. Tordesillas Jonathan P. How Marco Hutter 32 11 0 17 Jul 2023
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis Nilesh Kulkarni Davis Rempe Kyle Genova Abhijit Kundu Justin Johnson David Fouhey Leonidas J. Guibas DiffM 50 53 0 14 Jul 2023
Neural Fields with Hard Constraints of Arbitrary Differential Order Fangcheng Zhong Kyle Fogarty Param Hanji Tianhao Wu Alejandro Sztrajman Andrew Spielberg Andrea Tagliasacchi Petra Bosilj Cengiz Öztireli AI4CE 17 5 0 15 Jun 2023
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision Arturs Berzins 27 5 0 12 Jun 2023
Safety without alignment András Kornai M. Bukatin Zsolt Zombori LLMSV 24 0 0 27 Feb 2023
Constrained Empirical Risk Minimization: Theory and Practice Eric Marcus Ray Sheombarsing J. Sonke Jonas Teuwen 15 1 0 09 Feb 2023