Saved in:
| Main Authors: | Zhang, Marilyn, Chen, Tianfeng, Barzuna, Fabián, Rathod, Ankita, Whiting, Mark E. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.15341 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CEDAR: Context Engineering for Agentic Data Science
by: Roy, Rishiraj Saha, et al.
Published: (2026)
by: Roy, Rishiraj Saha, et al.
Published: (2026)
Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
by: Hashtarkhani, Soheil, et al.
Published: (2025)
by: Hashtarkhani, Soheil, et al.
Published: (2025)
Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
by: Kopko, Jakub, et al.
Published: (2025)
by: Kopko, Jakub, et al.
Published: (2025)
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025)
by: Jiang, Zeyu, et al.
Published: (2025)
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
by: Wanasekara, Senura Hansaja, et al.
Published: (2026)
by: Wanasekara, Senura Hansaja, et al.
Published: (2026)
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
by: Chen, Jiameng, et al.
Published: (2025)
by: Chen, Jiameng, et al.
Published: (2025)
Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
by: Barry-Straume, Jostein, et al.
Published: (2026)
by: Barry-Straume, Jostein, et al.
Published: (2026)
ETOM: A Five-Level Benchmark for Evaluating Tool Orchestration within the MCP Ecosystem
by: Dong, Jia-Kai, et al.
Published: (2025)
by: Dong, Jia-Kai, et al.
Published: (2025)
AI Algorithm for Predicting and Optimizing Trajectory of UAV Swarm
by: Raj, Amit, et al.
Published: (2024)
by: Raj, Amit, et al.
Published: (2024)
Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences
by: Yoon, Namkyung, et al.
Published: (2026)
by: Yoon, Namkyung, et al.
Published: (2026)
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
by: Bhattacharjee, Shamik, et al.
Published: (2024)
by: Bhattacharjee, Shamik, et al.
Published: (2024)
Towards an educational tool for supporting neonatologists in the delivery room
by: Leonardi, Giorgio, et al.
Published: (2024)
by: Leonardi, Giorgio, et al.
Published: (2024)
A Hybrid Feature Selection and Construction Method for Detection of Wind Turbine Generator Heating Faults
by: Kavaz, Ayse Gokcen, et al.
Published: (2023)
by: Kavaz, Ayse Gokcen, et al.
Published: (2023)
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
by: Windmann, Alexander, et al.
Published: (2024)
by: Windmann, Alexander, et al.
Published: (2024)
An improved tabular data generator with VAE-GMM integration
by: Apellániz, Patricia A., et al.
Published: (2024)
by: Apellániz, Patricia A., et al.
Published: (2024)
Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
by: Cunha, Cristiano da Costa, et al.
Published: (2026)
by: Cunha, Cristiano da Costa, et al.
Published: (2026)
IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
by: Macciò, Simone, et al.
Published: (2025)
by: Macciò, Simone, et al.
Published: (2025)
BenchECG and xECG: a benchmark and baseline for ECG foundation models
by: Lunelli, Riccardo, et al.
Published: (2025)
by: Lunelli, Riccardo, et al.
Published: (2025)
NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting in Delhi National Capital Region
by: Kumar, Rampunit, et al.
Published: (2026)
by: Kumar, Rampunit, et al.
Published: (2026)
Automated ultrasound doppler angle estimation using deep learning
by: Patil, Nilesh, et al.
Published: (2025)
by: Patil, Nilesh, et al.
Published: (2025)
Yahtzee: Reinforcement Learning Techniques for Stochastic Combinatorial Games
by: Pape, Nicholas A.
Published: (2025)
by: Pape, Nicholas A.
Published: (2025)
Explainable Prediction of the Mechanical Properties of Composites with CNNs
by: Raaghav, Varun, et al.
Published: (2025)
by: Raaghav, Varun, et al.
Published: (2025)
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes
by: Desure, Ruchika, et al.
Published: (2024)
by: Desure, Ruchika, et al.
Published: (2024)
Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry
by: Yoo, Seunghyun, et al.
Published: (2026)
by: Yoo, Seunghyun, et al.
Published: (2026)
SOMtime the World Ain$'$t Fair: Violating Fairness Using Self-Organizing Maps
by: Bingham, Joseph, et al.
Published: (2026)
by: Bingham, Joseph, et al.
Published: (2026)
It's not the Language Model, it's the Tool: Deterministic Mediation for Scientific Workflows
by: Adamidis, Marios, et al.
Published: (2026)
by: Adamidis, Marios, et al.
Published: (2026)
Deep Policy Iteration with Integer Programming for Inventory Management
by: Harsha, Pavithra, et al.
Published: (2021)
by: Harsha, Pavithra, et al.
Published: (2021)
Automating the Deep Space Network Data Systems; A Case Study in Adaptive Anomaly Detection through Agentic AI
by: Chou, Evan J., et al.
Published: (2025)
by: Chou, Evan J., et al.
Published: (2025)
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
by: Jo, Wonkeun, et al.
Published: (2024)
by: Jo, Wonkeun, et al.
Published: (2024)
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting
by: Shao, Zhiqi, et al.
Published: (2024)
by: Shao, Zhiqi, et al.
Published: (2024)
Model Fusion via Retrofitting
by: Luenam, Phoomraphee, et al.
Published: (2025)
by: Luenam, Phoomraphee, et al.
Published: (2025)
Bayesian Nonparametric Dynamical Clustering of Time Series
by: Pérez-Herrero, Adrián, et al.
Published: (2025)
by: Pérez-Herrero, Adrián, et al.
Published: (2025)
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs
by: Chong, Leah, et al.
Published: (2024)
by: Chong, Leah, et al.
Published: (2024)
On The Finetuning of MLIPs Through the Lens of Iterated Maps With BPTT
by: Dramko, Evan, et al.
Published: (2025)
by: Dramko, Evan, et al.
Published: (2025)
Intelligent Data-Driven Architectural Features Orchestration for Network Slicing
by: Moreira, Rodrigo, et al.
Published: (2024)
by: Moreira, Rodrigo, et al.
Published: (2024)
RELRaE: LLM-Based Relationship Extraction, Labelling, Refinement, and Evaluation
by: Hannah, George, et al.
Published: (2025)
by: Hannah, George, et al.
Published: (2025)
Communications to Circulations: Real-Time 3D Wind Field Prediction Using 5G GNSS Signals and Deep Learning
by: Ye, Yuchen, et al.
Published: (2025)
by: Ye, Yuchen, et al.
Published: (2025)
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
by: Silue, Bram, et al.
Published: (2025)
by: Silue, Bram, et al.
Published: (2025)
LLMs taking shortcuts in test generation: A study with SAP HANA and LevelDB
by: Bekmyradov, Vekil, et al.
Published: (2026)
by: Bekmyradov, Vekil, et al.
Published: (2026)
Large Language User Interfaces: Voice Interactive User Interfaces powered by LLMs
by: Wasti, Syed Mekael, et al.
Published: (2024)
by: Wasti, Syed Mekael, et al.
Published: (2024)
Similar Items
-
CEDAR: Context Engineering for Agentic Data Science
by: Roy, Rishiraj Saha, et al.
Published: (2026) -
Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
by: Hashtarkhani, Soheil, et al.
Published: (2025) -
Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
by: Kopko, Jakub, et al.
Published: (2025) -
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025) -
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
by: Wanasekara, Senura Hansaja, et al.
Published: (2026)