Empirical Studies on the Properties of Linear Regions in Deep Neural Networks

4 January 2020

Papers citing "Empirical Studies on the Properties of Linear Regions in Deep Neural Networks"

11 / 11 papers shown

Title
A Relative Homology Theory of Representation in Neural Networks Kosio Beshkov 99 0 0 17 Feb 2025
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 24 6 0 06 Jun 2023
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks Pawel Pukowski Haiping Lu 28 0 0 09 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 32 0 29 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study Gerrit Nolte Maximilian Schlüter Alnis Murtovi Bernhard Steffen AAML 14 3 0 28 Apr 2023
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries Ahmed Imtiaz Humayun Randall Balestriero Guha Balakrishnan Richard Baraniuk 24 17 0 24 Feb 2023
SpecXAI -- Spectral interpretability of Deep Learning Models Stefan Druc Peter Wooldridge A. Krishnamurthy S. Sarkar Aditya Balu 25 0 0 20 Feb 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations Maximilian Schlüter Gerrit Nolte Alnis Murtovi Bernhard Steffen 21 6 0 19 Jan 2023
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics J. Lazzari Xiuwen Liu 24 3 0 14 Jan 2023
Curved Representation Space of Vision Transformers Juyeop Kim Junha Park Songkuk Kim Jongseok Lee ViT 35 6 0 11 Oct 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 21 11 0 19 Apr 2022