On Tractable Representations of Binary Neural Networks

5 April 2020

Weijia Shi

Papers citing "On Tractable Representations of Binary Neural Networks"

23 / 23 papers shown

Title
Semantic Probabilistic Control of Language Models Kareem Ahmed Catarina G Belém Padhraic Smyth Sameer Singh 49 0 0 04 May 2025
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization Jianting Yang Srecko Ðurasinovic Jean B. Lasserre Victor Magron Jun Zhao AAML 46 1 0 27 May 2024
Boosting-based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks Yiping Tang Kohei Hatano Eiji Takimoto 21 0 0 08 Jun 2023
Logic for Explainable AI Adnan Darwiche 43 8 0 09 May 2023
A New Class of Explanations for Classifiers with Non-Binary Features Chunxi Ji Adnan Darwiche FAtt 34 3 0 28 Apr 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 57 39 0 24 Oct 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables Adrien Benamira Tristan Guérand Thomas Peyrin Trevor Yap Bryan Hooi 42 1 0 18 Aug 2022
ASTERYX : A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations Ryma Boumazouza Fahima Cheikh Bertrand Mazure Karim Tabia 19 31 0 23 Jun 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 48 59 0 20 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks Ouns El Harzli Bernardo Cuenca Grau Ian Horrocks FAtt 42 5 0 19 May 2022
On the Computation of Necessary and Sufficient Explanations Adnan Darwiche Chunxi Ji FAtt 27 19 0 20 Mar 2022
Tractable Boolean and Arithmetic Circuits Adnan Darwiche TPM 41 12 0 07 Feb 2022
On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI Adnan Darwiche Pierre Marquis 17 26 0 23 Aug 2021
Explanations for Monotonic Classifiers Sasha Rubin Thomas Gerspacher M. Cooper Alexey Ignatiev Nina Narodytska FAtt 14 43 0 01 Jun 2021
A unified logical framework for explanations in classifier systems Xinghan Liu E. Lorini 25 12 0 30 May 2021
Probabilistic Sufficient Explanations Eric Wang Pasha Khosravi Guy Van den Broeck XAI FAtt TPM 30 23 0 21 May 2021
On Guaranteed Optimal Robust Explanations for NLP Models Emanuele La Malfa A. Zbrzezny Rhiannon Michelmore Nicola Paoletti Marta Z. Kwiatkowska FAtt 19 47 0 08 May 2021
Declarative Approaches to Counterfactual Explanations for Classification Leopoldo Bertossi 42 17 0 15 Nov 2020
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 132 94 0 23 Oct 2020
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay Sasha Rubin Thomas Gerspacher Martin C. Cooper Alexey Ignatiev Nina Narodytska FAtt 30 59 0 13 Aug 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 29 162 0 11 Aug 2020
The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits Marcelo Arenas Pablo Barceló Mikaël Monet FAtt 41 8 0 28 Jul 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 251 1,842 0 03 Feb 2017