Thermodynamics-inspired Explanations of Artificial Intelligence

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Thermodynamics-inspired Explanations of Artificial Intelligence

Nature Communications (Nat Commun), 2022

27 June 2022

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Papers citing "Thermodynamics-inspired Explanations of Artificial Intelligence"

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Title
Can machines think efficiently? Adam Winchell 44 0 0 30 Oct 2025
Attention to Order: Transformers Discover Phase Transitions via Learnability Şener Özönder 64 0 0 08 Oct 2025
ZENN: A Thermodynamics-Inspired Computational Framework for Heterogeneous Data-Driven Modeling Shun Wang S. Shang Zi-Kui Liu Wenrui Hao 178 0 0 14 May 2025
DualXDA: Towards Sparse, Efficient and Explainable Data Attribution in Large AI Models Galip Umit Yolcu Moritz Weckbecker Thomas Wiegand Wojciech Samek Sebastian Lapuschkin TDI FAtt 275 0 0 19 Feb 2024
Enhanced Sampling with Machine Learning: A Review S. Mehdi Zachary Smith Lukas Herron Ziyue Zou P. Tiwary AI4CE 141 9 0 15 Jun 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.9K 19,183 0 16 Feb 2016