:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Srivastava, Amber, Basiri, Salar, Salapaka, Srinivasa
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2509.25775
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
por: Basiri, Salar, et al.
Publicado: (2022)

Parametrized Multi-Agent Routing via Deep Attention Models
por: Basiri, Salar, et al.
Publicado: (2025)

One-shot Generative Distribution Matching for Augmented RF-based UAV Identification
por: Kazemi, Amir, et al.
Publicado: (2023)

Towards Enabling Learning for Time-Varying finite horizon Sequential Decision-Making Problems*
por: Tiwari, Dhananjay, et al.
Publicado: (2025)

Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning
por: Beigzad, Salar, et al.
Publicado: (2026)

Locally Convex Global Loss Network for Decision-Focused Learning
por: Jeon, Haeun, et al.
Publicado: (2024)

GALACTIC: Global and Local Agnostic Counterfactuals for Time-series Clustering
por: Fragkathoulas, Christos, et al.
Publicado: (2026)

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
por: Buijsman, Stefan, et al.
Publicado: (2025)

Safeguarding Autonomy: a Focus on Machine Learning Decision Systems
por: Subías-Beltrán, Paula, et al.
Publicado: (2025)

An Innovative Data-Driven and Adaptive Reinforcement Learning Approach for Context-Aware Prescriptive Process Monitoring
por: Abbasi, Mostafa, et al.
Publicado: (2025)

DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend
por: Srivastava, Ajitesh
Publicado: (2023)

Clustered Policy Decision Ranking
por: Levin, Mark, et al.
Publicado: (2023)

Localized Forest Fire Risk Prediction: A Department-Aware Approach for Operational Decision Support
por: Caron, Nicolas, et al.
Publicado: (2025)

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
por: Moghaddam, Arya Hadizadeh, et al.
Publicado: (2024)

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
por: Yang, Zonghan, et al.
Publicado: (2024)

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
por: Liu, Jun, et al.
Publicado: (2026)

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
por: Widener, Michael, et al.
Publicado: (2025)

Global and Local Topology-Aware Attention with Persistent Homology and Euler Biases for Time-Series Forecasting
por: Faghihi, Usef, et al.
Publicado: (2026)

When should we prefer Decision Transformers for Offline Reinforcement Learning?
por: Bhargava, Prajjwal, et al.
Publicado: (2023)

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation
por: Chen, Shuhao, et al.
Publicado: (2026)

Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach
por: Shoush, Mahmoud, et al.
Publicado: (2023)

Autonomy-of-Experts Models
por: Lv, Ang, et al.
Publicado: (2025)

GLProtein: Global-and-Local Structure Aware Protein Representation Learning
por: Liu, Yunqing, et al.
Publicado: (2025)

Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
por: Li, Zenan, et al.
Publicado: (2023)

A Method for Fast Autonomy Transfer in Reinforcement Learning
por: Sahabandu, Dinuka, et al.
Publicado: (2024)

Local vs Global continual learning
por: Lanzillotta, Giulia, et al.
Publicado: (2024)

Predictive and Prescriptive AI toward Optimizing Wildfire Suppression
por: Boussioux, Leonard, et al.
Publicado: (2026)

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
por: Zhang, Hanlin, et al.
Publicado: (2026)

Applications of 0-1 Neural Networks in Prescription and Prediction
por: Patil, Vrishabh, et al.
Publicado: (2024)

Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
por: Mandi, Jayanta, et al.
Publicado: (2025)

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
por: Feng, Fan, et al.
Publicado: (2026)

Refining Filter Global Feature Weighting for Fully-Unsupervised Clustering
por: Galis, Fabian, et al.
Publicado: (2025)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
por: Zhao, Yang, et al.
Publicado: (2023)

Robust Autonomy Emerges from Self-Play
por: Cusumano-Towner, Marco, et al.
Publicado: (2025)

SPHENIC: Topology-Aware Multi-View Clustering for Spatial Transcriptomics
por: Guo, Chenkai, et al.
Publicado: (2025)

$λ$-models: Effective Decision-Aware Reinforcement Learning with Latent Models
por: Voelcker, Claas A, et al.
Publicado: (2023)

ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
por: De Moor, Jakob, et al.
Publicado: (2025)

Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure
por: Di Gioia, Davide
Publicado: (2026)

Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
por: Chao, Guoqing, et al.
Publicado: (2025)

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
por: Shaik, Thanveer, et al.
Publicado: (2023)