Cover Image

NervePool: A Simplicial Pooling Layer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Scullen, Sarah McGuire, Röell, Ernst, Munch, Elizabeth, Rieck, Bastian, Hirn, Matthew
Format:	Preprint
Published:	2023
Subjects:	Computational Geometry Machine Learning Neural and Evolutionary Computing 62R40, 05E45, 68T07, 68R10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
by: Yoon, Kihyuk, et al.
Published: (2023)

Pointer Networks Trained Better via Evolutionary Algorithms
by: Zhong, Muyao, et al.
Published: (2023)

Reconstructing shared dynamics with a deep neural network
by: Benkő, Zsigmond, et al.
Published: (2021)

Fractional Artificial Neural Networks for Growth Models
by: Najera-Tinoco, Juan Carlos, et al.
Published: (2025)

Advanced Physics-Informed Neural Network with Residuals for Solving Complex Integral Equations
by: Moghaddam, Mahdi Movahedian, et al.
Published: (2025)

An accurate flatness measure to estimate the generalization performance of CNN models
by: Taleghani, Rahman, et al.
Published: (2026)

OptiRoulette Optimizer: A New Stochastic Meta-Optimizer for up to 5.3x Faster Convergence
by: Mastromichalakis, Stamatis
Published: (2026)

A parametric activation function based on Wendland RBF
by: Darehmiraki, Majid
Published: (2025)

Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning
by: Munn, Humphrey, et al.
Published: (2022)

P1-KAN: an effective Kolmogorov-Arnold network with application to hydraulic valley optimization
by: Warin, Xavier
Published: (2024)

One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization
by: Hwang, Sangwoo, et al.
Published: (2024)

Implementing Online Reinforcement Learning with Clustering Neural Networks
by: Smith, James E.
Published: (2024)

Adjusting Dynamics of Hopfield Neural Network via Time-variant Stimulus
by: Peng, Xuenan, et al.
Published: (2024)

The Trap of Presumed Equivalence: Artificial General Intelligence Should Not Be Assessed on the Scale of Human Intelligence
by: Dolgikh, Serge
Published: (2024)

Diffeomorphic Measure Matching with Kernels for Generative Modeling
by: Pandey, Biraj, et al.
Published: (2024)

A New Construction of the Vietoris-Rips Complex
by: Rieser, Antonio
Published: (2023)

G-Mapper: Learning a Cover in the Mapper Construction
by: Alvarado, Enrique, et al.
Published: (2023)

Neural Networks Trained by Weight Permutation are Universal Approximators
by: Cai, Yongqiang, et al.
Published: (2024)

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
by: Jähde, Orlando, et al.
Published: (2025)

Uncertainty-Aware Post-Hoc Calibration: Mitigating Confidently Incorrect Predictions Beyond Calibration Metrics
by: Gharoun, Hassan, et al.
Published: (2025)

Unveiling the frontiers of deep learning: innovations shaping diverse domains
by: Ahmed, Shams Forruque, et al.
Published: (2023)

From Embeddings to Equations: Genetic-Programming Surrogates for Interpretable Transformer Classification
by: Khorshidi, Mohammad Sadegh, et al.
Published: (2025)

Sigma Flows for Image and Data Labeling and Learning Structured Prediction
by: Cassel, Jonas, et al.
Published: (2024)

Operator Learning Using Random Features: A Tool for Scientific Computing
by: Nelsen, Nicholas H., et al.
Published: (2024)

Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform
by: Rieck, Bastian
Published: (2024)

Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
by: Landers, Jonathan R.
Published: (2026)

Information flow in multilayer perceptrons: an in-depth analysis
by: Armano, Giuliano
Published: (2025)

Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
by: Buyukcakir, Barkin, et al.
Published: (2025)

Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
by: Njor, Emil, et al.
Published: (2025)

Rapid training of Hamiltonian graph networks using random features
by: Rahma, Atamert, et al.
Published: (2025)

Efficient Approximation to Analytic and $L^p$ functions by Height-Augmented ReLU Networks
by: Li, ZeYu, et al.
Published: (2026)

Game-Theoretic Gradient Control for Robust Neural Network Training
by: Zaitseva, Maria, et al.
Published: (2025)

NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks
by: Gambella, Matteo, et al.
Published: (2024)

Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
by: Gharoun, Hassan, et al.
Published: (2025)

Composition of Relational Features with an Application to Explaining Black-Box Predictors
by: Srinivasan, Ashwin, et al.
Published: (2022)

MonoKAN: Certified Monotonic Kolmogorov-Arnold Network
by: Polo-Molina, Alejandro, et al.
Published: (2024)

Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power
by: Stolzenburg, Frieder, et al.
Published: (2018)

Mathematical comparison of classical and quantum mechanisms in optimization under local differential privacy
by: Yoshida, Yuuya
Published: (2020)

Scalable non-separable spatio-temporal Gaussian process models for large-scale short-term weather prediction
by: Gyger, Tim, et al.
Published: (2026)

A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization
by: Dong, Lei
Published: (2026)