Copertina

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Knigge, David M., Wessels, David R., Valperga, Riccardo, Papa, Samuele, Sonke, Jan-Jakob, Gavves, Efstratios, Bekkers, Erik J.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Grounding Continuous Representations in Geometry: Equivariant Neural Fields
di: Wessels, David R, et al.
Pubblicazione: (2024)

How to Train Neural Field Representations: A Comprehensive Study and Benchmark
di: Papa, Samuele, et al.
Pubblicazione: (2023)

Mechanistic Neural Networks for Scientific Machine Learning
di: Pervez, Adeel, et al.
Pubblicazione: (2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
di: Lv, Changze, et al.
Pubblicazione: (2024)

Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
di: Aguettaz, Hugo, et al.
Pubblicazione: (2024)

Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
di: Pes, Lorenzo, et al.
Pubblicazione: (2024)

E(n) Equivariant Topological Neural Networks
di: Battiloro, Claudio, et al.
Pubblicazione: (2024)

Case Study of Novelty, Complexity, and Adaptation in a Multicellular System
di: Moreno, Matthew Andres, et al.
Pubblicazione: (2024)

MO-ELA: Rigorously Expanding Exploratory Landscape Features for Automated Algorithm Selection in Continuous Multi-Objective Optimisation
di: Preuß, Oliver, et al.
Pubblicazione: (2026)

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

Activation Functions for "A Feedforward Unitary Equivariant Neural Network"
di: Ma, Pui-Wai
Pubblicazione: (2024)

Space as Time Through Neuron Position Learning
di: Mészáros, Balázs, et al.
Pubblicazione: (2025)

A Lattice-based Method for Optimization in Continuous Spaces with Genetic Algorithms
di: Harris, Cameron D., et al.
Pubblicazione: (2024)

Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
di: Mazzieri, Riccardo, et al.
Pubblicazione: (2025)

A Rotation-Invariant Embedded Platform for (Neural) Cellular Automata
di: Woiwode, Dominik, et al.
Pubblicazione: (2025)

CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
di: Hagnberger, Jan, et al.
Pubblicazione: (2025)

Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming
di: Qin, Ziyan, et al.
Pubblicazione: (2025)

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
di: Zhang, Jieyuan, et al.
Pubblicazione: (2025)

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference
di: Huhle, Jakob, et al.
Pubblicazione: (2024)

Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
di: Neshat, Mehdi, et al.
Pubblicazione: (2025)

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search
di: ElSaid, AbdElRahman, et al.
Pubblicazione: (2023)

CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
di: Duran, Ckristian, et al.
Pubblicazione: (2025)

QED: using Quality-Environment-Diversity to evolve resilient robot swarms
di: Bossens, David M., et al.
Pubblicazione: (2020)

SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks
di: Fabre, Maxime, et al.
Pubblicazione: (2025)

Continuous signal sparse encoding using analog neuromorphic variability
di: Costa, Filippo, et al.
Pubblicazione: (2025)

Free-Space Optical Spiking Neural Network
di: Ahmadi, Reyhane, et al.
Pubblicazione: (2023)

Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
di: Liu, Qianhui, et al.
Pubblicazione: (2025)

Solving nonograms using Neural Networks
di: Rubio, José María Buades, et al.
Pubblicazione: (2025)

Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
di: Che, Kaiwei, et al.
Pubblicazione: (2024)

Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs
di: Norman-Tenazas, Raphael, et al.
Pubblicazione: (2024)

Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms
di: Lv, Zeqiong, et al.
Pubblicazione: (2022)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
di: Feng, Linghao, et al.
Pubblicazione: (2024)

Amortized Inference of Neuron Parameters on Analog Neuromorphic Hardware
di: Kaiser, Jakob, et al.
Pubblicazione: (2026)

SpikySpace: A Spiking State Space Model for Energy-Efficient Time Series Forecasting
di: Tang, Kaiwen, et al.
Pubblicazione: (2026)

Steel Plate Fault Detection using the Fitness Dependent Optimizer and Neural Networks
di: Farahmand-Tabar, Salar, et al.
Pubblicazione: (2024)

Discovering Continuous-Time Memory-Based Symbolic Policies using Genetic Programming
di: de Vries, Sigur, et al.
Pubblicazione: (2024)

Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization
di: Lai, Xin, et al.
Pubblicazione: (2026)

Active Learning for Neural PDE Solvers
di: Musekamp, Daniel, et al.
Pubblicazione: (2024)

Ecology, Spatial Structure, and Selection Pressure Induce Strong Signatures in Phylogenetic Structure
di: Moreno, Matthew Andres, et al.
Pubblicazione: (2024)

Phylotrack: C++ and Python libraries for in silico phylogenetic tracking
di: Dolson, Emily, et al.
Pubblicazione: (2024)