Preprint2024
Accelerating AI for science: open data science for science
Unknown
This paper presents a research agenda for AI for science, focusing on building technical foundations to leverage data for scientific discovery.
0Jan 1, 2024
AI Research
AI & ML Research Papers
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
All Papers
11 papersPreprint2023
Geometric deep learning and equivariant neural networks
Unknown
A survey of the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks.
0Jan 1, 2023Neural Networks
Preprint2024
Multi-agent reinforcement learning: Foundations and modern approaches
Unknown
This book part establishes foundational concepts and modern approaches for multi-agent reinforcement learning, defining the learning problem and building upon prior work.
0Jan 1, 2024Reinforcement Learning
Preprint2024
A survey on generative diffusion models
Unknown
This survey provides a comprehensive overview of generative diffusion models, covering their theoretical foundations, key methodologies, and applications in computer vision.
0Jan 1, 2024Attention MechanismsDiffusion Models
Preprint2026
Data Foundations of Long-Context Language Models: A Survey
Unknown
This survey systematically reviews the data foundations of long-context language models, covering data sources, curation strategies, and their impact on model performance.
0Jan 1, 2026
PreprintarXiv.org2025
Cognitive Foundations for Reasoning in LLMs
Priyanka Kargupta, S. Li, Haocheng Wang, et al.
This paper synthesizes cognitive science into a taxonomy of 28 cognitive elements, evaluates 192K LLM traces across modalities, and develops test-time guidance improving performance by up to 66.7%.
17Nov 20, 2025Large Language ModelsReasoning
arXiv
JournalFoundations and Trends® in Theoretical Computer Science2014Featured
The Algorithmic Foundations of Differential Privacy
Cynthia Dwork, Aaron Roth
This monograph provides a thorough introduction to differential privacy, covering its definition, fundamental techniques, and applications in query-release, mechanism design, and machine learning.
9.7kAug 11, 2014
Preprint2012
Ensemble Methods: Foundations and Algorithms
Zhi‐Hua Zhou
A comprehensive textbook covering ensemble methods including Boosting, Bagging, Random Forest, and diversity measures.
2.1kJan 1, 2012
PreprintSociological Methods & Research2004Featured
Multimodel Inference
Kenneth P. Burnham, David R. Anderson
This paper clarifies the philosophical and statistical foundations of AIC versus BIC for model selection and advocates for multimodel inference including model averaging.
12kNov 1, 2004
Preprint2026
A comprehensive survey of agents for computer use: Foundations, challenges, and future directions
Unknown
This survey explores the foundations, challenges, and future directions of neuro-symbolic methods integrated with agentic foundation models for computer use agents.
0Jan 1, 2026
Preprint2026
Opencua: Open foundations for computer-use agents
Unknown
This paper introduces Opencua, an open framework for building computer-use agents that leverage vision-language models to automate diverse computer tasks.
0Jan 1, 2026Computer Vision