:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Joudaki, Amir, Hofmann, Thomas
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.20107
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
by: Lee, Hyunwoo, et al.
Published: (2024)

Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study
by: Ke, Yekun, et al.
Published: (2024)

Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity
by: Joudaki, Amir, et al.
Published: (2025)

Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)

Fixed Point Explainability
by: La Malfa, Emanuele, et al.
Published: (2025)

Hyperplane Arrangements and Fixed Points in Iterated PWL Neural Networks
by: Beise, Hans-Peter
Published: (2024)

Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks
by: Cichocki, Andrzej, et al.
Published: (2026)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)

Emergence of Structure in Ensembles of Random Neural Networks
by: Muscarnera, Luca, et al.
Published: (2025)

Global Convergence in Neural ODEs: Impact of Activation Functions
by: Gao, Tianxiang, et al.
Published: (2025)

A Characterization Theorem for Equivariant Networks with Point-wise Activations
by: Pacini, Marco, et al.
Published: (2024)

Ray-Tracing for Conditionally Activated Neural Networks
by: Gallicchio, Claudio, et al.
Published: (2025)

Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
by: Liu, Xiaotian, et al.
Published: (2026)

Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions
by: Drammis, Sabrina, et al.
Published: (2024)

Learning from Historical Activations in Graph Neural Networks
by: Galron, Yaniv, et al.
Published: (2026)

Efficient Neural Networks with Discrete Cosine Transform Activations
by: Martinez-Gost, Marc, et al.
Published: (2025)

APEX: Probing Neural Networks via Activation Perturbation
by: Ren, Tao, et al.
Published: (2026)

Neural Network Verification with Branch-and-Bound for General Nonlinearities
by: Shi, Zhouxing, et al.
Published: (2024)

Online Neural Networks for Change-Point Detection
by: Hushchyn, Mikhail, et al.
Published: (2020)

Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
by: Chen, Feng, et al.
Published: (2023)

The Interpretable and Effective Graph Neural Additive Networks
by: Bechler-Speicher, Maya, et al.
Published: (2024)

Content Augmented Graph Neural Networks
by: Nasrabadi, Fatemeh Gholamzadeh, et al.
Published: (2023)

TREE-G: Decision Trees Contesting Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2022)

Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
by: Hevapathige, Asela, et al.
Published: (2025)

Wormhole Dynamics in Deep Neural Networks
by: Lai, Yen-Lung, et al.
Published: (2025)

Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions
by: Park, Jangseop, et al.
Published: (2024)

Graph Neural Networks Use Graphs When They Shouldn't
by: Bechler-Speicher, Maya, et al.
Published: (2023)

Probing Graph Neural Network Activation Patterns Through Graph Topology
by: Tori, Floriano, et al.
Published: (2026)

DeepACTIF: Efficient Feature Attribution via Activation Traces in Neural Sequence Models
by: Hosp, Benedikt W.
Published: (2025)

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
by: Súkeník, Peter, et al.
Published: (2025)

FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024)

Deep Neural Network Benchmarks for Selective Classification
by: Pugnana, Andrea, et al.
Published: (2024)

Proximity-Informed Calibration for Deep Neural Networks
by: Xiong, Miao, et al.
Published: (2023)

On Emergences of Non-Classical Statistical Characteristics in Classical Neural Networks
by: Zhao, Hanyu, et al.
Published: (2026)

Fixed Point Diffusion Models
by: Bai, Xingjian, et al.
Published: (2024)

Learning Dynamics of Deep Learning -- Force Analysis of Deep Neural Networks
by: Ren, Yi
Published: (2025)

Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space
by: Vyas, Sanyam, et al.
Published: (2024)

Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability
by: Bini, Lorenzo, et al.
Published: (2024)

Developing Training Procedures for Piecewise-linear Spline Activation Functions in Neural Networks
by: Patty, William H
Published: (2025)

Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
by: Adeli, Behtom, et al.
Published: (2025)