Cover Image

Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Leyli-abadi, Milad, Marot, Antoine, Picault, Jérôme
Format:	Preprint
Published:	2025
Subjects:	Machine Learning I.2.0; I.2.4; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
by: Huang, Xuanxiang, et al.
Published: (2025)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)

Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
by: Nolte, Robin, et al.
Published: (2025)

5G Traffic Prediction with Time Series Analysis
by: Nayak, Nikhil, et al.
Published: (2021)

Uniform $\mathcal{C}^k$ Approximation of $G$-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations
by: Ganguly, Soumya, et al.
Published: (2024)

Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)

Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
by: Nguyen, Viet Dung, et al.
Published: (2024)

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
by: Nishiyama, Daiki, et al.
Published: (2025)

Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
by: Ma, Yunjian
Published: (2026)

T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Lukasiewicz, Product, and Gödel Semantics in a Neuro-Symbolic Reasoning System
by: Laabs, Adam
Published: (2026)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)

The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
by: Sairam, S, et al.
Published: (2025)

Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling
by: Nguyen, Viet Dung, et al.
Published: (2026)

Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios
by: Bok, Zhuang Qiang, et al.
Published: (2025)

Super-additive Cooperation in Language Model Agents
by: Tonini, Filippo, et al.
Published: (2025)

Reward Machines for Deep RL in Noisy and Uncertain Environments
by: Li, Andrew C., et al.
Published: (2024)

TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation
by: Du, Bangde, et al.
Published: (2025)

Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms
by: Avery, Katherine, et al.
Published: (2025)

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
by: Mohan, Shiwali, et al.
Published: (2023)

Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting
by: Qin, Liyang, et al.
Published: (2025)

Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure
by: Navakoti, Raj, et al.
Published: (2026)

High Quality Embeddings for Horn Logic Reasoning
by: Zhang, Yifan, et al.
Published: (2026)

E-CONDOR: Efficient Contour-Based Detection Of Random Spatial Signals From UAV Observations Using Dual Stochastic Gradient
by: Zahra, Maryam, et al.
Published: (2024)

OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)

SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling
by: Aharon, Eliya Naomi, et al.
Published: (2026)

From Next Token Prediction to (STRIPS) World Models
by: Núñez-Molina, Carlos, et al.
Published: (2025)

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
by: Karabulut, Burak, et al.
Published: (2026)

Gyan: An Explainable Neuro-Symbolic Language Model
by: Srinivasan, Venkat, et al.
Published: (2026)

Intervention Complexity as a Canonical Reward and a Measure of Intelligence
by: McCane, Brendan
Published: (2026)

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
by: Anand, Emile, et al.
Published: (2025)

ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving
by: Kim, Sejin, et al.
Published: (2025)

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents
by: Minai, Ali A.
Published: (2025)

Beyond Mimicry: Preference Coherence in LLMs
by: Mikaelson, Luhan, et al.
Published: (2025)

Learning Can Converge Stably to the Wrong Belief under Latent Reliability
by: Zhang, Zhipeng, et al.
Published: (2026)

Implicit Counterfactual Data Augmentation for Robust Learning
by: Zhou, Xiaoling, et al.
Published: (2023)

Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity
by: Doumbouya, Moussa Koulako Bala, et al.
Published: (2025)

Graph Spring Neural ODEs for Link Sign Prediction
by: Rehmann, Andrin, et al.
Published: (2024)