Cover Image

The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zimmer, Max, Pelleriti, Nico, Roux, Christophe, Pokutta, Sebastian
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Byzantine-Resilience of Distillation-Based Federated Learning
by: Roux, Christophe, et al.
Published: (2024)

A Free Lunch in LLM Compression: Revisiting Retraining after Pruning
by: Wagner, Moritz, et al.
Published: (2025)

Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers
by: Pelleriti, Nico, et al.
Published: (2025)

SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale
by: Zimmer, Max, et al.
Published: (2025)

From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
by: Schiekiera, Louis, et al.
Published: (2026)

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
by: Pelleriti, Nico, et al.
Published: (2025)

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
by: Zimmer, Max, et al.
Published: (2023)

Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
by: Kera, Hiroshi, et al.
Published: (2025)

PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
by: Zimmer, Max, et al.
Published: (2023)

Don't Be Greedy, Just Relax! Pruning LLMs via Frank-Wolfe
by: Roux, Christophe, et al.
Published: (2025)

RMA: an Agentic System for Research-Level Mathematical Problems
by: Zhao, Zelin, et al.
Published: (2026)

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
by: Mundinger, Konrad, et al.
Published: (2025)

Interpretability Guarantees with Merlin-Arthur Classifiers
by: Wäldchen, Stephan, et al.
Published: (2022)

Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
by: Pauls, Jan, et al.
Published: (2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
by: Toledo, Edan, et al.
Published: (2025)

Learning to Construct Practical Agentic Systems
by: Kumar, Aditya, et al.
Published: (2026)

A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
by: Heim, Eric, et al.
Published: (2025)

Agentic MIP Research: Accelerated Constraint Handler Generation
by: Xu, Liding, et al.
Published: (2026)

Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025)

Bolzano: Case Studies in LLM-Assisted Mathematical Research
by: Balko, Martin, et al.
Published: (2026)

Compression-aware Training of Neural Networks using Frank-Wolfe
by: Zimmer, Max, et al.
Published: (2022)

Neural Parameter Regression for Explicit Representations of PDE Solution Operators
by: Mundinger, Konrad, et al.
Published: (2024)

A Mathematical Guide to Operator Learning
by: Boullé, Nicolas, et al.
Published: (2023)

What Do Machine Learning Researchers Mean by "Reproducible"?
by: Raff, Edward, et al.
Published: (2024)

Estimating Canopy Height at Scale
by: Pauls, Jan, et al.
Published: (2024)

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
by: Chen, Hui, et al.
Published: (2025)

ECHOSAT: Estimating Canopy Height Over Space And Time
by: Pauls, Jan, et al.
Published: (2026)

Implicit Riemannian Optimism with Applications to Min-Max Problems
by: Roux, Christophe, et al.
Published: (2025)

Beware! The AI Act Can Also Apply to Your AI Research Practices
by: Wernick, Alina, et al.
Published: (2025)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
by: Du, Yuxuan, et al.
Published: (2025)

Combining Machine Learning and Ontology: A Systematic Literature Review
by: Ghidalia, Sarah, et al.
Published: (2024)

Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics
by: Chau, Herman, et al.
Published: (2025)

One-shot Federated Learning Methods: A Practical Guide
by: Liu, Xiang, et al.
Published: (2025)

Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research
by: Zhu, Jessica, et al.
Published: (2024)

Architectures for Building Agentic AI
by: Nowaczyk, Sławomir
Published: (2025)

Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark
by: Pulavarthy, Lalitha Pranathi, et al.
Published: (2026)

An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
by: Zhang, Hanwen, et al.
Published: (2026)

Automated Machine Learning: From Principles to Practices
by: Shen, Zhenqian, et al.
Published: (2018)

Deep Manifold Part 2: Neural Network Mathematics
by: Ma, Max Y., et al.
Published: (2025)

RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows
by: Mahdavi, Hamed, et al.
Published: (2025)