Equivalent and Approximate Transformations of Deep Neural Networks

27 May 2019

Papers citing "Equivalent and Approximate Transformations of Deep Neural Networks"

8 / 8 papers shown

Title
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 33 0 29 Apr 2023
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees Max Biggs Georgia Perakis 6 1 0 28 Feb 2023
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction Edoardo Manino I. Bessa Lucas C. Cordeiro 21 1 0 21 Oct 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks Ouns El Harzli Bernardo Cuenca Grau Ian Horrocks FAtt 40 5 0 19 May 2022
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
Strong mixed-integer programming formulations for trained neural networks Ross Anderson Joey Huchette Christian Tjandraatmadja J. Vielma 19 251 0 20 Nov 2018
Empirical Bounds on Linear Regions of Deep Rectifier Networks Thiago Serra Srikumar Ramalingam 8 42 0 08 Oct 2018
Benefits of depth in neural networks Matus Telgarsky 153 603 0 14 Feb 2016