:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Poggi, Aurora, D'Inverno, Giuseppe Alessio, Brismar, Hjalmar, Öktem, Ozan, Barreau, Matthieu, Morozovska, Kateryna
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods Artificial Intelligence
Online Access:	https://arxiv.org/abs/2505.20327
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comparison of Reservoir Computing topologies using the Recurrent Kernel approach
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2024)

Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation
by: Tembo, Francis, et al.
Published: (2025)

VC dimension of Graph Neural Networks with Pfaffian activation functions
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2024)

Surrogate models for diffusion on graphs via sparse polynomials
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2025)

Product of Tensors and Description of Networks
by: Chiantini, Luca, et al.
Published: (2024)

MILP initialization for solving parabolic PDEs with PINNs
by: Li, Sirui, et al.
Published: (2025)

Online Traffic Density Estimation using Physics-Informed Neural Networks
by: Wilkman, Dennis, et al.
Published: (2025)

Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
by: Sun, Yuhao, et al.
Published: (2025)

Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks
by: Li, Sirui, et al.
Published: (2025)

On the approximation capability of GNNs in node classification/regression tasks
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2021)

How high-resolution agent-based models can improve fundamental insights in tissue development and cell culturing methods
by: Van Liedekerke, Paul, et al.
Published: (2026)

Correlation vs causation in Alzheimer's disease: an interpretability-driven study
by: Dabool, Hamzah, et al.
Published: (2025)

Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow
by: Varbella, Anna, et al.
Published: (2024)

Robin: A multi-agent system for automating scientific discovery
by: Ghareeb, Ali Essam, et al.
Published: (2025)

Vanishing Stacked-Residual PINN for State Reconstruction of Hyperbolic Systems
by: Eshkofti, Katayoun, et al.
Published: (2025)

Viability Space Decomposition: A geometric partition of survival outcomes in single- and multi-agent systems
by: McShaffrey, Connor, et al.
Published: (2026)

A topological description of loss surfaces based on Betti Numbers
by: Bucarelli, Maria Sofia, et al.
Published: (2024)

Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2024)

Differentiating Physical and Psychological Stress Using Wearable Physiological Signals and Salivary Cortisol
by: Kaya, Ozan, et al.
Published: (2026)

INTENSE: Detecting and disentangling neuronal selectivity in calcium imaging data
by: Pospelov, Nikita, et al.
Published: (2026)

PRAXIS: Case-distilled and code-verified AI agents for biological research
by: Ma, Zhenyu, et al.
Published: (2026)

Effect of organic fertilizer and nano calcium spray on growth, yield and storage characteristics of fig fruits cv. waziri
by: Ahmed, Aram Sabir
Published: (2025)

Riemannian vs. Euclidean Representation of Gait Kinematics: A Comparative Analysis
by: Bůžek, Tomáš
Published: (2025)

Moo-ving mountains: grazing agents drive terracette formation on steep hillslopes
by: Seleb, Benjamin, et al.
Published: (2025)

Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2025)

Enhancing Morpho-Kinematic analysis for Plant Water Stress Classification through Leaf Movements
by: Polilli, Walter, et al.
Published: (2025)

Data-driven discovery of dynamical models in biology
by: Prokop, Bartosz, et al.
Published: (2025)

Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks
by: Nardini, John T.
Published: (2023)

GeneFEAST: the pivotal, gene-centric step in functional enrichment analysis interpretation
by: Taylor, Avigail, et al.
Published: (2023)

BiGraph‐DTA: Predicting drug–target interactions of hepatoprotective agents with graph convolutional networks
by: Arief Sartono, et al.
Published: (2025)

AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score
by: Hu, Tao, et al.
Published: (2024)

BioVeil MATRIX: Uncovering and categorizing vulnerabilities of agentic biological AI scientists
by: Provatas, Kimon Antonios, et al.
Published: (2026)

An innovative benefit‐of‐the‐doubt approach for health system effectiveness: a global case study on amenable mortality
by: Giovanna D'Inverno, et al.
Published: (2024)

An information-based model selection criterion for data-driven model discovery
by: Chung, Michael C, et al.
Published: (2026)

Fungicides vs mycoinsecticides in the management of corn leafhopper: physicochemical, in vitro and in vivo compatibilities, and degradation kinetics in maize plants
by: Rakes, Matheus, et al.
Published: (2025)

Revolutionizing multi‐omics analysis with artificial intelligence and data processing
by: Ali Yetgin
Published: (2025)

covSTATIS: a multi-table technique for network neuroscience
by: Baracchini, Giulia, et al.
Published: (2024)

Integrated data-driven biotechnology research environments
by: Moreddu, Rosalia
Published: (2025)

Tube into pearls: A membrane-driven pearling instability shapes platelet biogenesis
by: Léon, C., et al.
Published: (2025)

Advances and challenges in multiscale biomolecular simulations: artificial intelligence‐driven paradigm shift
by: Wenfei Li, et al.
Published: (2025)