Cover Image

Unsupervised Learning to Recognize Quantum Phases of Matter

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khosrojerdi, Mehran, Cuccoli, Alessandro, Verrucchi, Paola, Banchi, Leonardo
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Disordered Systems and Neural Networks Statistical Mechanics 81V70, 68T05, 82B26, 82B10 I.2.6; I.5.1; I.5.3; I.6.3; J.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Combining Euclidean Alignment and Data Augmentation for BCI decoding
by: Rodrigues, Gustavo H., et al.
Published: (2024)

Crystal Nucleation in Eutectic Al-Si Alloys by Machine-Learned Molecular Dynamics
by: Bizot, Quentin, et al.
Published: (2025)

Alljoined1 -- A dataset for EEG-to-Image decoding
by: Xu, Jonathan, et al.
Published: (2024)

Latent Space Representation of Electricity Market Curves: Maintaining Structural Integrity
by: Výboh, Martin, et al.
Published: (2025)

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration
by: Eryilmaz, Cagri
Published: (2026)

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding
by: Junqueira, Bruna, et al.
Published: (2024)

Bayesian Hierarchical Probabilistic Forecasting of Intraday Electricity Prices
by: Nickelsen, Daniel, et al.
Published: (2024)

Geometric Neural Network based on Phase Space for BCI-EEG decoding
by: Carrara, Igor, et al.
Published: (2024)

Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)

Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)

TCRTransBench: A Comprehensive Benchmark for Bidirectional TCR-Peptide Sequence Generation
by: Wang, Yiming, et al.
Published: (2026)

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)

Towards Automated Diagnosis of Inherited Arrhythmias: Combined Arrhythmia Classification Using Lead-Aware Spatial Attention Networks
by: Sigfstead, Sophie, et al.
Published: (2026)

Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
by: Rosenhoover, Marshall, et al.
Published: (2025)

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes
by: Uehara, Eichi
Published: (2026)

DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
by: Zhao, Yuhan, et al.
Published: (2026)

Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
by: Betts, Joshua W., et al.
Published: (2025)

Quantum generative adversarial networks for gluon initiated jets generation
by: Guadarrama, Rey, et al.
Published: (2025)

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection
by: Gopalakrishnan, Venkatakrishnan
Published: (2026)

Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
by: Shannon, Andrew, et al.
Published: (2024)

Beyond Normality: Reliable A/B Testing with Non-Gaussian Data
by: Gong, Junpeng, et al.
Published: (2025)

Photons x Force: Differentiable Radiation Pressure Modeling
by: Constant, Charles, et al.
Published: (2026)

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
by: Sarabi, Ali, et al.
Published: (2025)

Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)

Generative Machine Learning Models for the Deconvolution of Charge Carrier Dynamics in Organic Photovoltaic Cells
by: Raymond, Li, et al.
Published: (2025)

The Spotlight Resonance Method: Resolving the Alignment of Embedded Activations
by: Bird, George
Published: (2025)

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
by: Katakam, Raj Kiran Gupta
Published: (2026)

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
by: Lachapelle, Sébastien, et al.
Published: (2024)

Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
by: Dutta, Utsav, et al.
Published: (2026)

Mamba base PKD for efficient knowledge compression
by: Medina, José, et al.
Published: (2025)

Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adaptation
by: Steele, Brady
Published: (2026)

ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
by: Yong, Shim Soon
Published: (2025)

Feature emergence via margin maximization: case studies in algebraic tasks
by: Morwani, Depen, et al.
Published: (2023)

Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
by: Goel, Astitva, et al.
Published: (2026)

Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)

SATORIS-N: Spectral Analysis based Traffic Observation Recovery via Informed Subspaces and Nuclear-norm minimization
by: Mohanty, Sampad, et al.
Published: (2026)

Contrastive Representation Modeling for Anomaly Detection
by: Lunardi, Willian T., et al.
Published: (2025)

Improving Consistency in Large Language Models through Chain of Guidance
by: Raj, Harsh, et al.
Published: (2025)

AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)