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Advancing Ante-Hoc Explainable Models through Generative Adversarial
  Networks

Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks

9 January 2024
Tanmay Garg
Deepika Vemuri
Vineeth N. Balasubramanian
    GAN
ArXivPDFHTML

Papers citing "Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks"

3 / 3 papers shown
Title
XMOL: Explainable Multi-property Optimization of Molecules
XMOL: Explainable Multi-property Optimization of Molecules
Aye Phyu Phyu Aung
Jay Chaudhary
Ji Wei Yoon
Senthilnath Jayavelu
32
0
0
12 Sep 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
63
1
0
01 Jul 2024
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
1