Machine Learning Methods

Core algorithms, techniques, and model architectures in machine learning and AI.

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368,282Articles

Articles published on Machine Learning Methods

368,282 results

9 Jan 2026|arxiv:2507.04754

Intervening to learn and compose disentangled representations

Alex Markham; Jeri A. Chang; Isaac Hirsch; Liam Solus; Bryon Aragam2025·arXiv Preprint

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31 Dec 2025|arxiv:2512.23406

Task-driven Heterophilic Graph Structure Learning

Formal Sciences

Ayushman Raghuvanshi; Gonzalo Mateos; Sundeep Prabhakar Chepuri2025·arXiv Preprint

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13 Jan 2026|arxiv:2501.07564

E2ESlack: An End-to-End Graph-Based Framework for Pre-Routing Slack Prediction

Saurabh Bodhe; Zhanguang Zhang; Atia Hamidizadeh; Shixiong Kai; Yingxue Zhang; Mingxuan Yuan2025·arXiv Preprint

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15 Jan 2026|arxiv:2501.08962

An analysis of data variation and bias in image-based dermatological datasets for machine learning classification

Francisco Filho; Emanoel Santos; Rodrigo Mota; Kelvin Cunha; Fabio Papais; Amanda Arruda; Mateus Baltazar; Camila Vieira; José Gabriel Tavares; Rafael Barros; Othon Souza; Thales Bezerra; Natalia Lopes; Érico Moutinho; Jéssica Guido; Shirley Cruz; Paulo Borba; Tsang Ing Ren2025·arXiv Preprint

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21 Jan 2026|https://doi.org/10.1038/s41467-024-55042-y

Observation of a rare beta decay of the charmed baryon with a Graph Neural Network

Computer Science

M. Ablikim; M. N. Achasov; P. Adlarson; O. Afedulidis; X. C. Ai; R. Aliberti; A. Amoroso; Qi An; Y. Bai; O. Bakina; I. Balossino; Y. Ban; H. -R. Bao; V. Batozskaya; K. Begzsuren; N. Berger; M. Berlowski; M. Bertani; D. Bettoni; F. Bianchi; E. Bianco; A. Bortone; I. R. Boyko; R. A. Briere; A. Brueggemann; Hengxing Cai; X. Cai; A. Calcaterra; G. F. Cao; N. Cao; S. A. Cetin; J. F. Chang; G. R.; G. Chelkov; C. Chen; C. Chen; Chao Chen; G. Chen; H. S. Chen; H. Y. Chen; M. L. Chen; S. J. Chen; S. L. Chen; S. M. Chen; T. Chen; X. R. Chen; X. T. Chen; Y. B. Chen; Y. Q. Chen; Z. J. Chen2025·Nature CommunicationsTier 1

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3 Jan 2026|10.1038/s41467-025-61665-6

Quantum equilibrium propagation for efficient training of quantum systems based on Onsager reciprocity

Formal Sciences

Clara C. Wanjura; Florian Marquardt2025·Nature CommunicationsTier 1

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25 Jan 2026|arxiv:2507.22030

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports

Mohammed Baharoon; Luyang Luo; Michael Moritz; Abhinav Kumar; Sung Eun Kim; Xiaoman Zhang; Miao Zhu; Mahmoud Hussain Alabbad; Maha Sbayel Alhazmi; Neel P. Mistry; Lucas Bijnens; Kent Ryan Kleinschmidt; Brady Chrisler; Sathvik Suryadevara; Sri Sai Dinesh Jaliparthi; Noah Michael Prudlo; Mark David Marino; Jeremy Palacio; Rithvik Akula; Di Zhou; Hong-Yu Zhou; Ibrahim Ethem Hamamci; Scott J. Adams; Hassan Rayhan AlOmaish; Pranav Rajpurkar2025·arXiv Preprint

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13 Jan 2026|arxiv:2501.07145

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel

Csaba Tóth; Danilo Jr Dela Cruz; Harald Oberhauser2025·arXiv Preprint

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13 Jan 2026|arxiv:2501.07123

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression

Nour Makke; Sanjay Chawla2025·arXiv Preprint

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14 Feb 2026|arxiv:2511.12434

VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs

Rui Xue2025·arXiv Preprint