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1. Characterising memory in quantum channel discrimination via constrained separability problems

2. Hyper-Compression: Model Compression via Hyperfunction

3. Don't Fear Peculiar Activation Functions: EUAF and Beyond

4. Structured and Balanced Multi-component and Multi-layer Neural Networks

6. Tracking dynamic flow: Decoding flow fluctuations through performance in a fine motor control task

7. Deep Network Approximation: Beyond ReLU to Diverse Activation Functions

8. Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study

10. On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network

11. Study on the Influence of Wildfire on Streamer Discharge in Transmission Line Gap

12. Neural Network Architecture Beyond Width and Depth

13. Traditional Chinese medicine FYTF-919 (Zhongfeng Xingnao oral prescription) for the treatment of acute intracerebral haemorrhage: a multicentre, randomised, placebo-controlled, double-blind, clinical trial

20. Deep Network Approximation in Terms of Intrinsic Parameters

24. Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons

29. Optimal Approximation Rate of ReLU Networks in terms of Width and Depth

36. Neural Network Approximation: Three Hidden Layers Are Enough

37. Deep Network with Approximation Error Being Reciprocal of Width to Power of Square Root of Depth

38. Deep Network Approximation for Smooth Functions

43. Deep Network Approximation Characterized by Number of Neurons

44. Nonlinear Approximation via Compositions

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