:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Candelieri, Antonio, Bliek, Laurens
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2606.00009
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation
by: Shaik, Irfansha, et al.
Published: (2024)

Real-Time Dynamic Layout Optimization for Floating Offshore Wind Farm Control
by: Jard, Timothé, et al.
Published: (2024)

Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
by: Liu, Rui, et al.
Published: (2025)

Transformers for Tabular Data: A Training Perspective of Self-Attention via Optimal Transport
by: Quadrio, Alessandro, et al.
Published: (2025)

Wasserstein Barycenter Gaussian Process based Bayesian Optimization
by: Candelieri, Antonio, et al.
Published: (2025)

Wasserstein-enabled characterization of designs and myopic decisions in Bayesian Optimization
by: Candelieri, Antonio, et al.
Published: (2026)

Weighted Wasserstein Barycenter of Gaussian Processes for exotic Bayesian Optimization tasks
by: Candelieri, Antonio, et al.
Published: (2026)

Permutation Invariant Learning with High-Dimensional Particle Filters
by: Boopathy, Akhilan, et al.
Published: (2024)

Set-LLM: A Permutation-Invariant LLM
by: Egressy, Beni, et al.
Published: (2025)

PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation
by: Schlesinger, Claire, et al.
Published: (2026)

LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
by: Chen, Guojin, et al.
Published: (2024)

Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
by: Stadtmann, Florian, et al.
Published: (2024)

From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
by: Xie, Zikai, et al.
Published: (2025)

Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
by: Muzaffar, Junaid, et al.
Published: (2025)

Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)

End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW
by: Abouelrous, Abdo, et al.
Published: (2025)

Cable Layout Optimization of Offshore Wind Farm Based on Global Dynamic Minimum Spanning Tree Algorithm
by: Guoqing Huang, et al.
Published: (2026)

PICASO: Permutation-Invariant Context Composition with State Space Models
by: Liu, Tian Yu, et al.
Published: (2025)

Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
by: Weisser, Dominic, et al.
Published: (2026)

Opinion Mining on Offshore Wind Energy for Environmental Engineering
by: Bittencourt, Isabele, et al.
Published: (2024)

Information Theoretic Bayesian Optimization over the Probability Simplex
by: Pavesi, Federico, et al.
Published: (2026)

FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue
by: Ribeiro, João Alves, et al.
Published: (2026)

Depth-Optimal Quantum Layout Synthesis as SAT
by: Jakobsen, Anna B., et al.
Published: (2025)

Deep Learning for Modeling and Dispatching Hybrid Wind Farm Power Generation
by: Lawrence, Zach, et al.
Published: (2025)

High-dimensional and Permutation Invariant Anomaly Detection
by: Mikuni, Vinicius, et al.
Published: (2023)

Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
by: Hevapathige, Asela, et al.
Published: (2023)

SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance
by: Walker, Connor, et al.
Published: (2024)

Stunned by Sleeping Beauty: How Prince Probability updates his forecast upon their fateful encounter
by: Walleghem, Laurens
Published: (2024)

Bayesian Hierarchical Invariant Prediction
by: Madaleno, Francisco, et al.
Published: (2025)

Permutation Picture of Graph Combinatorial Optimization Problems
by: Min, Yimeng
Published: (2024)

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry
by: Xiao, Tim Z., et al.
Published: (2023)

Permutation-Invariant Transformer Neural Architectures for Set-Based Indoor Localization Using Learned RSSI Embeddings
by: Aristorenas, Aris J.
Published: (2025)

Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval
by: Tchuitcheu, Willy Carlos, et al.
Published: (2026)

LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
by: Sun, Fan-Yun, et al.
Published: (2024)

MOVER: Multimodal Optimal Transport with Volume-based Embedding Regularization
by: You, Haochen, et al.
Published: (2025)

Structure As Search: Unsupervised Permutation Learning for Combinatorial Optimization
by: Min, Yimeng, et al.
Published: (2025)

Hyperband-based Bayesian Optimization for Black-box Prompt Selection
by: Schneider, Lennart, et al.
Published: (2024)

AI-Based Impedance Encoding-Decoding Method for Online Impedance Network Construction of Wind Farms
by: Zhang, Xiaojuan, et al.
Published: (2025)

Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits
by: Shaik, Irfansha, et al.
Published: (2024)

LLMs as Layout Designers: Enhanced Spatial Reasoning for Content-Aware Layout Generation
by: Li, Sha, et al.
Published: (2025)