:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Serrano, Julio C., Kevari, Joonas, Narayan, Rumy
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2603.28336
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
by: Qiang, Rushi, et al.
Published: (2025)

CERM: Context-aware Literature-based Discovery via Sentiment Analysis
by: Young, Julio Christian, et al.
Published: (2024)

Fairness Amidst Non-IID Graph Data: A Literature Review
by: Zhang, Wenbin, et al.
Published: (2022)

AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing
by: Du, Jianda, et al.
Published: (2026)

Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines
by: Ahad, Tanzim, et al.
Published: (2026)

Coarsening Linear Non-Gaussian Causal Models with Cycles
by: Madaleno, Francisco, et al.
Published: (2026)

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
by: Trirat, Patara, et al.
Published: (2024)

Variance-Dependent Regret Bounds for Non-stationary Linear Bandits
by: Wang, Zhiyong, et al.
Published: (2024)

ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance
by: Risukhin, Andrey, et al.
Published: (2025)

A review on development of eco-friendly filters in Nepal for use in cigarettes and masks and Air Pollution Analysis with Machine Learning and SHAP Interpretability
by: Paneru, Bishwash, et al.
Published: (2025)

Analyzing Currency Fluctuations: A Comparative Study of GARCH, EWMA, and IV Models for GBP/USD and EUR/GBP Pairs
by: Tondapu, Narayan
Published: (2024)

Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution
by: Zhang, Shulai, et al.
Published: (2025)

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
by: Prabhakar, Akshara, et al.
Published: (2025)

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
by: Zhang, Jianguo, et al.
Published: (2024)

An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
by: Kim, JaeYoon, et al.
Published: (2023)

Distilling Linearized Behavior into Non-Linear Fine-Tuning for Effective Task Arithmetic
by: Sommariva, Thomas, et al.
Published: (2026)

On Leakage in Machine Learning Pipelines
by: Sasse, Leonard, et al.
Published: (2023)

On the (Non) Injectivity of Piecewise Linear Janossy Pooling
by: Reshef, Ilai, et al.
Published: (2025)

Trace-Level Analysis of Information Contamination in Multi-Agent Systems
by: Mazhar, Anna, et al.
Published: (2026)

Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting
by: Tondapu, Narayan
Published: (2024)

PromptScreen: Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline
by: Rao, Akshaj Prashanth, et al.
Published: (2025)

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline
by: Fang, Zhiyuan, et al.
Published: (2025)

LinearizeLLM: An Agent-Based Framework for LLM-Driven Exact Linear Reformulation of Nonlinear Optimization Problems
by: Kandora, Paul-Niklas Ken, et al.
Published: (2025)

Optimizing Helmet Detection with Hybrid YOLO Pipelines: A Detailed Analysis
by: M, Vaikunth, et al.
Published: (2024)

A Multi-Task Learning Approach to Linear Multivariate Forecasting
by: Nochumsohn, Liran, et al.
Published: (2025)

Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021)

Generating Universal Adversarial Perturbations for Quantum Classifiers
by: Anil, Gautham, et al.
Published: (2024)

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework
by: Ding, Zihan, et al.
Published: (2026)

Generalizing Orthogonalization for Models with Non-Linearities
by: Rügamer, David, et al.
Published: (2024)

ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
by: Margraf, Valentin, et al.
Published: (2024)

Superiority of Multi-Head Attention in In-Context Linear Regression
by: Cui, Yingqian, et al.
Published: (2024)

TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
by: Ouyang, Jinhui, et al.
Published: (2024)

DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process
by: Abu-Shaira, Mohammad, et al.
Published: (2025)

Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
by: Zheng, Junjing, et al.
Published: (2025)

PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models
by: Schlender, Thalea, et al.
Published: (2025)

Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines
by: Nilayam, Prashanti, et al.
Published: (2026)

AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel Synthesis
by: Du, Jinye, et al.
Published: (2025)

IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
by: Ma, Fengbo, et al.
Published: (2026)

Neural Network Conversion of Machine Learning Pipelines
by: Sung, Man-Ling, et al.
Published: (2026)

Automatic Configuration of LLM Post-Training Pipelines
by: Chwa, Channe, et al.
Published: (2026)