Author

Timo Bremer

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#artificial intelligence Oct 2023

Instance-wise Linearization of Neural Network for Model Interpretation

This work proposes an instance-wise linearization approach to reformulates the forward computation process of a neural network prediction and discusses the application of this technique in both supervise classification and unsupervised neural network learning parametric t-SNE dimension reduction.

Zhi-Min Li, Shu-Sen Liu, B. Kailkhura et al. · arXiv.org · 0 citations

Jun 2026

Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction

This work develops a sensor position-conditioned architecture that enables a single policy network to adapt seamlessly to multiple sensor arrangements and demonstrates that the policy extraction from the dataset provides unprecedented flexibility for sensor placement optimization.

Deepak Akhare, Luning Sun, Xin-Yang Liu et al. · arXiv.org · 0 citations