Imagen de Portada

PSTNet: Physically-Structured Turbulence Network

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kriuk, Boris, Kriuk, Fedor
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

POSEIDON: Physics-Optimized Seismic Energy Inference and Detection Operating Network
por: Kriuk, Boris, et al.
Publicado: (2026)

Deep Learning-Driven Approach for Handwritten Chinese Character Classification
por: Kriuk, Boris, et al.
Publicado: (2024)

ELENA: Epigenetic Learning through Evolved Neural Adaptation
por: Kriuk, Boris, et al.
Publicado: (2025)

Hybrid Physics-ML Framework for Pan-Arctic Permafrost Infrastructure Risk at Record 2.9-Million Observation Scale
por: Kriuk, Boris
Publicado: (2025)

Artificial Adaptive Intelligence: The Missing Stage Between Narrow and General Intelligence
por: Kriuk, Boris
Publicado: (2026)

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search
por: Kriuk, Boris
Publicado: (2026)

Advancing Eurasia Fire Understanding Through Machine Learning Techniques
por: Kriuk, Boris
Publicado: (2025)

MorphBoost: Self-Organizing Universal Gradient Boosting with Adaptive Tree Morphing
por: Kriuk, Boris
Publicado: (2025)

ORCA -- Online Regime Correlation Analyzer
por: Kriuk, Boris, et al.
Publicado: (2026)

Shepherd Grid Strategy: Towards Reliable SWARM Interception
por: Kriuk, Boris, et al.
Publicado: (2025)

DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
por: Kriuk, Boris, et al.
Publicado: (2025)

To What Extent Can Public Equity Indices Statistically Hedge Real Purchasing Power Loss in Compounded Structural Emerging-Market Crises? An Explainable ML-Based Assessment
por: Alkhamov, Artem, et al.
Publicado: (2025)

Q-KVComm: Efficient Multi-Agent Communication Via Adaptive KV Cache Compression
por: Kriuk, Boris, et al.
Publicado: (2025)

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
por: Kriuk, Boris, et al.
Publicado: (2025)

Structural perspective on constraint-based learning of Markov networks
por: Korhonen, Tuukka, et al.
Publicado: (2024)

Simulating Three-dimensional Turbulence with Physics-informed Neural Networks
por: Wang, Sifan, et al.
Publicado: (2025)

Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
por: Sergeev, Fedor, et al.
Publicado: (2024)

Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence
por: Mukhopadhyay, Payel, et al.
Publicado: (2026)

Quick and Accurate Affordance Learning
por: Scholz, Fedor, et al.
Publicado: (2024)

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
por: Zhang, Yitian, et al.
Publicado: (2025)

Accelerating Training with Neuron Interaction and Nowcasting Networks
por: Knyazev, Boris, et al.
Publicado: (2024)

Learning Rate Transfer in Normalized Transformers
por: Shigida, Boris, et al.
Publicado: (2026)

The Laminar Flow Hypothesis: Detecting Jailbreaks via Semantic Turbulence in Large Language Models
por: Rahman, Md. Hasib Ur
Publicado: (2025)

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
por: Vincent, Théo, et al.
Publicado: (2024)

Emergence of Structure in Ensembles of Random Neural Networks
por: Muscarnera, Luca, et al.
Publicado: (2025)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
por: Kofinas, Miltiadis, et al.
Publicado: (2024)

Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning
por: Vincent, Théo, et al.
Publicado: (2024)

Denoising Hamiltonian Network for Physical Reasoning
por: Deng, Congyue, et al.
Publicado: (2025)

Complex Physics-Informed Neural Network
por: Si, Chenhao, et al.
Publicado: (2025)

Physics-Informed Neural Networks and Extensions
por: Raissi, Maziar, et al.
Publicado: (2024)

On Efficient Scaling of GNNs via IO-Aware Layers Implementations
por: Fomina, Daria, et al.
Publicado: (2026)

Are Graph Attention Networks Able to Model Structural Information?
por: Noravesh, Farshad, et al.
Publicado: (2025)

Reservoir Network with Structural Plasticity for Human Activity Recognition
por: Zyarah, Abdullah M., et al.
Publicado: (2025)

Quantitative CLTs in Deep Neural Networks
por: Favaro, Stefano, et al.
Publicado: (2023)

Densely Multiplied Physics Informed Neural Networks
por: Jiang, Feilong, et al.
Publicado: (2024)

On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models
por: Lucas, Peter J. F., et al.
Publicado: (2026)

Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles
por: Liu, Shengcai, et al.
Publicado: (2025)

Graph Neural Networks with Feature and Structure Aware Random Walk
por: Zhuo, Wei, et al.
Publicado: (2021)

Physics-Guided Memory Network for Building Energy Modeling
por: Danish, Muhammad Umair, et al.
Publicado: (2025)

Adaptive Physics-informed Neural Networks: A Survey
por: Torres, Edgar, et al.
Publicado: (2025)