Saved in:
| Main Authors: | Bhatnagar, Saakaar, Comerford, Andrew, Xu, Zelu, Polato, Davide Berti, Banaeizadeh, Araz, Ferraris, Alessandro |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.11984 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Layered Swarm Optimization Method for Fitting Battery Thermal Runaway Models to Accelerating Rate Calorimetry Data
by: Bhatnagar, Saakaar, et al.
Published: (2024)
by: Bhatnagar, Saakaar, et al.
Published: (2024)
Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data
by: Bhatnagar, Saakaar, et al.
Published: (2023)
by: Bhatnagar, Saakaar, et al.
Published: (2023)
Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks
by: Bhatnagar, Saakaar
Published: (2023)
by: Bhatnagar, Saakaar
Published: (2023)
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems
by: Bhatnagar, Saakaar
Published: (2025)
by: Bhatnagar, Saakaar
Published: (2025)
A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
by: Sharmin, Mahmuda, et al.
Published: (2025)
by: Sharmin, Mahmuda, et al.
Published: (2025)
Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
by: Estornell, Andrew, et al.
Published: (2024)
by: Estornell, Andrew, et al.
Published: (2024)
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
by: Zhu, Mengran, et al.
Published: (2024)
by: Zhu, Mengran, et al.
Published: (2024)
Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
by: Di Wang, Albert, et al.
Published: (2025)
by: Di Wang, Albert, et al.
Published: (2025)
Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
by: Lucchetti, Alessandro, et al.
Published: (2025)
by: Lucchetti, Alessandro, et al.
Published: (2025)
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
by: Yang, Siyuan, et al.
Published: (2025)
by: Yang, Siyuan, et al.
Published: (2025)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)
by: Sun, Shengke, et al.
Published: (2025)
The Finite Element Neural Network Method: One Dimensional Study
by: Abda, Mohammed, et al.
Published: (2025)
by: Abda, Mohammed, et al.
Published: (2025)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
NLP-enabled Trajectory Map-matching in Urban Road Networks using a Transformer-based Encoder-decoder
by: Mohammadi, Sevin, et al.
Published: (2024)
by: Mohammadi, Sevin, et al.
Published: (2024)
Drone Acoustic Analysis for Predicting Psychoacoustic Annoyance via Artificial Neural Networks
by: Vaiuso, Andrea, et al.
Published: (2024)
by: Vaiuso, Andrea, et al.
Published: (2024)
Synthetic Data for Discriminating Serotonergic Neurons using Convolutional Neural Networks
by: Corradetti, Daniele, et al.
Published: (2024)
by: Corradetti, Daniele, et al.
Published: (2024)
ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge
by: Zhao, Zihan, et al.
Published: (2025)
by: Zhao, Zihan, et al.
Published: (2025)
Physics-Enforced Neural Ordinary Differential Equation for Chemical Kinetics Optimization in Reaction-Diffusion Systems
by: Cai, Feixue, et al.
Published: (2026)
by: Cai, Feixue, et al.
Published: (2026)
Accelerating Hydrodynamic Fabrication of Microstructures using Deep Neural Networks
by: Clinkinbeard, Nicholus R., et al.
Published: (2024)
by: Clinkinbeard, Nicholus R., et al.
Published: (2024)
Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process
by: Elaarabi, Mouad, et al.
Published: (2026)
by: Elaarabi, Mouad, et al.
Published: (2026)
A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States
by: Sun, Daran, et al.
Published: (2026)
by: Sun, Daran, et al.
Published: (2026)
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
by: Li, Yuante, et al.
Published: (2025)
by: Li, Yuante, et al.
Published: (2025)
Neural Network Surrogates for Free Energy Computation of Complex Chemical Systems
by: Pornpatcharapong, Wasut
Published: (2025)
by: Pornpatcharapong, Wasut
Published: (2025)
EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
by: Ding, Hongcheng, et al.
Published: (2024)
by: Ding, Hongcheng, et al.
Published: (2024)
A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)
by: Gregnanin, Marco, et al.
Published: (2026)
Feature Mapping in Physics-Informed Neural Networks (PINNs)
by: Zeng, Chengxi, et al.
Published: (2024)
by: Zeng, Chengxi, et al.
Published: (2024)
Accelerated and data-efficient flow prediction in stirred tanks via physics-informed learning
by: Naderibeni, Mahdi, et al.
Published: (2026)
by: Naderibeni, Mahdi, et al.
Published: (2026)
Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics
by: Lesniewski, Andrew, et al.
Published: (2024)
by: Lesniewski, Andrew, et al.
Published: (2024)
Must: Maximizing Latent Capacity of Spatial Transcriptomics Data
by: Zang, Zelin, et al.
Published: (2024)
by: Zang, Zelin, et al.
Published: (2024)
Approximate Constrained Lumping of Chemical Reaction Networks
by: Leguizamon-Robayo, Alexander, et al.
Published: (2024)
by: Leguizamon-Robayo, Alexander, et al.
Published: (2024)
CardioFit: A WebGL-Based Tool for Fast and Efficient Parameterization of Cardiac Action Potential Models to Fit User-Provided Data
by: Cairns, Darby I., et al.
Published: (2025)
by: Cairns, Darby I., et al.
Published: (2025)
Multi-Objective Neural Network-Assisted Design Optimization of Soft Fin-Ray Fingers for Enhanced Grasping Performance
by: Ghanizadeh, Ali, et al.
Published: (2025)
by: Ghanizadeh, Ali, et al.
Published: (2025)
EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods
by: Ding, Hongcheng, et al.
Published: (2024)
by: Ding, Hongcheng, et al.
Published: (2024)
B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
by: Proszewska, Magdalena, et al.
Published: (2025)
by: Proszewska, Magdalena, et al.
Published: (2025)
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)
by: Zhang, Zeyang, et al.
Published: (2023)
Data-Efficient Model for Psychological Resilience Prediction based on Neurological Data
by: Zhang, Zhi, et al.
Published: (2025)
by: Zhang, Zhi, et al.
Published: (2025)
Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
by: Curtosi, Gabriel, et al.
Published: (2026)
by: Curtosi, Gabriel, et al.
Published: (2026)
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs
by: Ding, Wanying, et al.
Published: (2024)
by: Ding, Wanying, et al.
Published: (2024)
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
Similar Items
-
A Layered Swarm Optimization Method for Fitting Battery Thermal Runaway Models to Accelerating Rate Calorimetry Data
by: Bhatnagar, Saakaar, et al.
Published: (2024) -
Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data
by: Bhatnagar, Saakaar, et al.
Published: (2023) -
Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks
by: Bhatnagar, Saakaar
Published: (2023) -
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems
by: Bhatnagar, Saakaar
Published: (2025) -
A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
by: Sharmin, Mahmuda, et al.
Published: (2025)