Cover Image

The Space Between: On Folding, Symmetries and Sampling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lewandowski, Michal, Heinzl, Bernhard, Pisoni, Raphael, Moser, Bernhard A.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Space Folds of ReLU Neural Networks
by: Lewandowski, Michal, et al.
Published: (2025)

CantorNet: A Sandbox for Testing Geometrical and Topological Complexity Measures
by: Lewandowski, Michal, et al.
Published: (2024)

Physics of Learning: A Lagrangian perspective to different learning paradigms
by: Guo, Siyuan, et al.
Published: (2025)

Learning to Forget: Continual Learning with Adaptive Weight Decay
by: Ramesh, Aditya A., et al.
Published: (2026)

On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire
by: Moser, Bernhard A., et al.
Published: (2024)

Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
by: Klein, Bernhard
Published: (2025)

Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
by: Kim, Chankyo, et al.
Published: (2025)

Oscillatory State-Space Models
by: Rusch, T. Konstantin, et al.
Published: (2024)

Neural Genetic Search in Discrete Spaces
by: Kim, Hyeonah, et al.
Published: (2025)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization
by: Kim, Minsu, et al.
Published: (2024)

Predictive Modeling in the Reservoir Kernel Motif Space
by: Tino, Peter, et al.
Published: (2024)

Linearized Bregman Iterations for Sparse Spiking Neural Networks
by: Windhager, Daniel, et al.
Published: (2026)

Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control
by: Xu, Zijie, et al.
Published: (2025)

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples
by: Renau, Quentin, et al.
Published: (2024)

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
by: Tian, Hao, et al.
Published: (2023)

Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
by: Tjanaka, Bryon, et al.
Published: (2026)

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
by: Fu, Rong, et al.
Published: (2026)

State-Space Constraints Can Improve the Generalisation of the Differentiable Neural Computer to Input Sequences With Unseen Length
by: Ofner, Patrick, et al.
Published: (2021)

($\boldsymbolθ_l, \boldsymbolθ_u$)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces
by: Wei, Tingyang, et al.
Published: (2025)

Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach
by: Baptiste, Dylan, et al.
Published: (2026)

Dynamic Dimension Wrapping (DDW) Algorithm: A Novel Approach for Efficient Cross-Dimensional Search in Dynamic Multidimensional Spaces
by: Jin, Dongnan, et al.
Published: (2024)

Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers
by: Kadlčík, Marek, et al.
Published: (2025)

Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks
by: Lange, Moritz, et al.
Published: (2024)

Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations
by: Prusik, Michal, et al.
Published: (2025)

Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding
by: Windhager, Daniel, et al.
Published: (2025)

Lightweight LIF-only SNN accelerator using differential time encoding
by: Windhager, Daniel, et al.
Published: (2025)

Actionable Interpretability Must Be Defined in Terms of Symmetries
by: Barbiero, Pietro, et al.
Published: (2026)

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
by: Kim, Hyeonah, et al.
Published: (2024)

SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning
by: Joshi, Amogh, et al.
Published: (2024)

Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation
by: Liu, Ningfeng, et al.
Published: (2024)

Foxtsage vs. Adam: Revolution or Evolution in Optimization?
by: Aula, Sirwan A., et al.
Published: (2024)

Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning
by: Cheriet, Hichem, et al.
Published: (2026)

A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation
by: Doyle-Finch, Gabriel, et al.
Published: (2025)

Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development
by: Mousavirad, Seyed Jalaleddin, et al.
Published: (2023)

PyVRP: a high-performance VRP solver package
by: Wouda, Niels A., et al.
Published: (2023)

FAGH: Accelerating Federated Learning with Approximated Global Hessian
by: Sen, Mrinmay, et al.
Published: (2024)

Natural Evolutionary Search meets Probabilistic Numerics
by: Osselin, Pierre, et al.
Published: (2025)

Controlling Chaos Using Edge Computing Hardware
by: Kent, Robert M., et al.
Published: (2024)

Zorro: A Flexible and Differentiable Parametric Family of Activation Functions That Extends ReLU and GELU
by: Roodschild, Matias, et al.
Published: (2024)

Optimizing Feature Selection with Genetic Algorithms: A Review of Methods and Applications
by: Taha, Zhila Yaseen, et al.
Published: (2024)