Copertina

Operational range bounding of spectroscopy models with anomaly detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Simões, Luís F., Casale, Pierluigi, Felismino, Marília, Yip, Kai Hou, Waldmann, Ingo P., Tinetti, Giovanna, Lueftinger, Theresa
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Instrumentation and Methods for Astrophysics I.2.6; I.5.1; I.6.4; J.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
di: Agia, Christopher, et al.
Pubblicazione: (2024)

Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
di: Trinh, Minh, et al.
Pubblicazione: (2025)

Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
di: Fachada, Nuno, et al.
Pubblicazione: (2026)

The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion
di: Liu, Yingtian, et al.
Pubblicazione: (2024)

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

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

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

U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration
di: Smith, Michael, et al.
Pubblicazione: (2026)

Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
di: Paulus, Anselm, et al.
Pubblicazione: (2025)

Stroke Lesions as a Rosetta Stone for Language Model Interpretability
di: Fridriksson, Julius, et al.
Pubblicazione: (2026)

Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
di: Rottenwalter, Georg, et al.
Pubblicazione: (2025)

Listwise Direct Preference Optimization with Multi-Dimensional Preference Mixing
di: Sun, Yuhui, et al.
Pubblicazione: (2025)

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
di: Priezzhev, I. I., et al.
Pubblicazione: (2025)

Advancements in synthetic data extraction for industrial injection molding
di: Rottenwalter, Georg, et al.
Pubblicazione: (2025)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
di: Gonzalez, Alberto Andres Valdes
Pubblicazione: (2026)

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints
di: Reddy, Sandeep, et al.
Pubblicazione: (2025)

Predicting Future Actions of Reinforcement Learning Agents
di: Chung, Stephen, et al.
Pubblicazione: (2024)

Comparing Fairness of Generative Mobility Models
di: Wang, Daniel, et al.
Pubblicazione: (2024)

CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
di: Drayson, George, et al.
Pubblicazione: (2023)

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

Less is more: AI Decision-Making using Dynamic Deep Neural Networks for Short-Term Stock Index Prediction
di: Finnegan, CJ, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Entropy Aware Message Passing in Graph Neural Networks
di: Nazari, Philipp, et al.
Pubblicazione: (2024)

Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
di: Herde, Marek, et al.
Pubblicazione: (2024)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
di: Hung, Wei, et al.
Pubblicazione: (2025)

Structured Contrastive Learning for Interpretable Latent Representations
di: Shen, Zhengyang, et al.
Pubblicazione: (2025)