:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Harabuchi, Yu, Staub, Ruben
Format:	Recurso digital
Language:	English
Published:	Zenodo 2025
Online Access:	https://doi.org/10.5281/zenodo.15632428
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Supplementary data
by: Staub, Ruben, et al.
Published: (2025)

Chemography‐guided analysis of a reaction path network for ethylene hydrogenation with a model Wilkinson's catalyst
by: Philippe Gantzer, et al.
Published: (2024)

Aphis origani Passerini 1860
by: Stekolshchikov, Andrey V.
Published: (2024)

Noise-robust chemical reaction networks training artificial neural networks
by: Kang, Sunghwa, et al.
Published: (2024)

Fast training of accurate physics-informed neural networks without gradient descent
by: Datar, Chinmay, et al.
Published: (2024)

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
by: Chavlis, Spyridon, et al.
Published: (2024)

Phorodon (Dysaphis) cannabis Passerini 1860
by: Barjadze, Shalva, et al.
Published: (2025)

Aphis (Aphis) origani Passerini 1860
by: Abdullaev, Ikram, et al.
Published: (2024)

Pemphigus (Pemphigus) vesicarius Passerini 1861
by: Abdullaev, Ikram, et al.
Published: (2024)

Constraining the Woods-Saxon potential in fusion reactions based on the neural network
by: Gao, Zepeng, et al.
Published: (2023)

Confidence-gated training for efficient early-exit neural networks
by: Mokssit, Saad, et al.
Published: (2025)

Force training neural network potential energy surface models
by: Christian Devereux, et al.
Published: (2024)

Accelerating iterative ptychography with an integrated neural network
by: Arthur R. C. McCray, et al.
Published: (2025)

Graph is all you need? Lightweight data-agnostic neural architecture search without training
by: Huang, Zhenhan, et al.
Published: (2024)

Recurrent neural chemical reaction networks trained to switch dynamical behaviours through learned bifurcations
by: Dack, Alexander, et al.
Published: (2026)

State-space models are accurate and efficient neural operators for dynamical systems
by: Hu, Zheyuan, et al.
Published: (2024)

Pruning for efficient deterministic global optimization over trained ReLU neural networks
by: Lastrucci, Giacomo, et al.
Published: (2026)

The challenges of integrating the discussion of controversial issues in initial teacher training
by: Elisabete Linhares
Published: (2016)

Adaptive path planning for efficient object search by UAVs in agricultural fields
by: van Essen, Rick, et al.
Published: (2025)

AiiDA-TrainsPot: Towards automated training of neural-network interatomic potentials
by: Bidoggia, Davide, et al.
Published: (2025)

Análise da Controvérsia entre Evolução Biológica e Crenças Pessoais em Docentes de um Curso de Ciências Biológicas
by: Tatiane Staub
Published: (2015)

Anerkennungsverhältnisse in der Schule
by: Staub, Sabina
Published: (2024)

Betreuung – Erziehung – Bildung
by: Staub, Mirjam
Published: (2024)

O CURRÍCULO DA EDUCAÇÃO DE JOVENS E ADULTOS E O ENSINO DE CIÊNCIAS: UM OLHAR SOBRE A CULTURA
by: Tatiane Staub
Published: (2012)

About Popper-Carnap controversy rnap controversy
by: Samir Boukhris
Published: (2004)

On the solution of Euclidean path integrals with neural networks
by: Balassa, Gabor
Published: (2025)

Universal and efficient graph neural networks with dynamic attention for machine learning interatomic potentials
by: Bi, Shuyu, et al.
Published: (2026)

Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning
by: Xu, Tengji, et al.
Published: (2024)

Actor-network Theory and cartography of controversies in Information Science
by: Ramon Fernandes LOURENÇO
Published: (2018)

BBNet: accurate neural network emulator for primordial light element abundances
by: Zhang, Fan, et al.
Published: (2025)

Rapid and accurate mosquito abundance forecasting with Aedes-AI neural networks
by: Kinney, Adrienne C., et al.
Published: (2024)

Certified and accurate computation of function space norms of deep neural networks
by: Gründler, Johannes, et al.
Published: (2026)

Attention mechanisms in neural networks
by: Hays, Hasi
Published: (2026)

Quantum sequel of neural network training
by: Zhang, Hao, et al.
Published: (2025)

Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics
by: Shetty, Sanjana
Published: (2024)

A framework of discontinuous Galerkin neural networks for iteratively approximating residuals
by: Yuan, Long, et al.
Published: (2025)

Astral: training physics-informed neural networks with error majorants
by: Fanaskov, Vladimir, et al.
Published: (2024)

Tracking large chemical reaction networks and rare events by neural networks
by: Weng, Jiayu, et al.
Published: (2025)

Target noise: A pre-training based neural network initialization for efficient high resolution learning
by: Wang, Shaowen, et al.
Published: (2026)

STCSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
by: Xu, Changqing, et al.
Published: (2023)