AI Research Papers — Page 73

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Notableresearch

Learned Memory Attenuation in Sage-Husa Kalman Filters for Robust UAV State Estimation

May 18, 2026arXiv codeKenan Majewski +1

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EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL

May 18, 2026arXiv codeMinrui Xu +5

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Distilling Tabular Foundation Models for Structured Health Data

May 18, 2026arXiv codeAditya Tanna +4

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Learning Normal Representations for Blood Biomarkers

May 18, 2026arXiv codeAashna P. Shah +5

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A Large-Scale Study on the Accuracy vs Cost Trade-offs of Training and Evaluation Settings in Fine-Grained Image Recognition

May 18, 2026arXiv codeEdwin Arkel Rios +5

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PopPy: Opportunistically Exploiting Parallelism in Python Compound AI Applications

May 18, 2026arXiv codeStephen Mell +4

NotableresearchServiceNow

Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap

May 18, 2026arXiv codeAditya Tanna +5

Notableresearch

Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad

May 18, 2026arXiv codeZijian Liu

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SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents

May 18, 2026arXiv codeYifan Zhou +5

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Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches

May 18, 2026arXiv codeTinghan Ye +4

Notableresearch

Can machine learning for quantum-gas experiments be explainable?

May 18, 2026arXiv codeI. B. Spielman amd J. P. Zwolak

Notableresearch

Reversa: A Reverse Documentation Engineering Framework for Converting Legacy Software into Operational Specifications for AI Agents

May 18, 2026arXiv codeSanderson Oliveira de Macedo +1

NotableresearchxAI

Learning Quantifiable Visual Explanations Without Ground-Truth

May 18, 2026arXiv codeAmritpal Singh +4

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CMAG: Concept-Scaffolded Retrieval for Marketplace Avatar Generation

May 18, 2026arXiv codeRajeev Goel +5

Majorresearch

Lance: Unified Multimodal Modeling by Multi-Task Synergy

May 18, 2026arXiv codeFengyi Fu +5

Notableresearch

COOPO: Cyclic Offline-Online Policy Optimization Algorithm

May 18, 2026arXiv codeQisai Liu +5

Majorresearch

Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning

May 18, 2026arXiv codeMichael Aichmüller +3

Notableresearch

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention

May 18, 2026arXiv codeJingyi Qiu +1

Majorresearch

Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment

May 18, 2026arXiv codeS. Bensalem +5

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Better Together: Evaluating the Complementarity of Earth Embedding Models

May 18, 2026arXiv codeThijs L van der Plas +5

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A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?

May 18, 2026arXiv codeMohamed elShehaby +1

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GIM: Evaluating models via tasks that integrate multiple cognitive domains

May 18, 2026arXiv codeRohit Patel +2

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Efficient and Noise-Tolerant PAC Learning of Multiclass Linear Classifiers

May 18, 2026arXiv codeRita Adhikari +1

NotableresearchServiceNow

AI for Auto-Research: Roadmap & User Guide

May 18, 2026arXiv codeLingdong Kong +5

Notableresearch

KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture

May 18, 2026arXiv codeLuis Balderas +4

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Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning

May 18, 2026arXiv codeArnab Auddy +2

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Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees

May 18, 2026arXiv codeAditya Tanna +4

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MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents

May 18, 2026arXiv codeZiyun Zeng +5

Notableresearch

An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration

May 18, 2026arXiv codeMaja Pavlovic +2

Majorresearch

Language-Switching Triggers Take a Latent Detour Through Language Models

May 18, 2026arXiv codeFrancis Kulumba +4