The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
Fuente:
arXiv
Saved in:
| Main Author: | Chen, Tianhua |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective
by: Chen, Tianhua
Published: (2025)
by: Chen, Tianhua
Published: (2025)
Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis
by: Chen, Tianhua
Published: (2025)
by: Chen, Tianhua
Published: (2025)
Mathematical Foundations of Geometric Deep Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025)
GAIA: Categorical Foundations of Generative AI
by: Mahadevan, Sridhar
Published: (2024)
by: Mahadevan, Sridhar
Published: (2024)
Mathematical Foundation of Interpretable Equivariant Surrogate Models
by: Colombini, Jacopo Joy, et al.
Published: (2025)
by: Colombini, Jacopo Joy, et al.
Published: (2025)
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
by: Der, Audrey, et al.
Published: (2024)
by: Der, Audrey, et al.
Published: (2024)
The Nature of Mathematical Modeling and Probabilistic Optimization Engineering in Generative AI
by: Li, Fulu
Published: (2024)
by: Li, Fulu
Published: (2024)
SRNN: Spatiotemporal Relational Neural Network for Intuitive Physics Understanding
by: Yang, Fei
Published: (2025)
by: Yang, Fei
Published: (2025)
Mathematics and Coding are Universal AI Benchmarks
by: Chojecki, Przemyslaw
Published: (2025)
by: Chojecki, Przemyslaw
Published: (2025)
On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight
by: Mustapha, Ismail B., et al.
Published: (2026)
by: Mustapha, Ismail B., et al.
Published: (2026)
Long Term Memory: The Foundation of AI Self-Evolution
by: Jiang, Xun, et al.
Published: (2024)
by: Jiang, Xun, et al.
Published: (2024)
Inference Optimization of Foundation Models on AI Accelerators
by: Park, Youngsuk, et al.
Published: (2024)
by: Park, Youngsuk, et al.
Published: (2024)
The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline
by: Garg, Piyush, et al.
Published: (2026)
by: Garg, Piyush, et al.
Published: (2026)
Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning
by: Peng, Ruiying, et al.
Published: (2026)
by: Peng, Ruiying, et al.
Published: (2026)
Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaboration
by: Lagomarsino, Marta, et al.
Published: (2025)
by: Lagomarsino, Marta, et al.
Published: (2025)
Intelligence Primer
by: Fezer, Karl, et al.
Published: (2020)
by: Fezer, Karl, et al.
Published: (2020)
Foundation-Preserving Adaptation via Generalized Rayleigh-Quotient Optimization
by: Kim, Dongjun, et al.
Published: (2026)
by: Kim, Dongjun, et al.
Published: (2026)
A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning
by: Ji, Yixin, et al.
Published: (2025)
by: Ji, Yixin, et al.
Published: (2025)
Foundations of Schrödinger Bridges for Generative Modeling
by: Tang, Sophia
Published: (2026)
by: Tang, Sophia
Published: (2026)
Federated Generative Learning with Foundation Models
by: Zhang, Jie, et al.
Published: (2023)
by: Zhang, Jie, et al.
Published: (2023)
The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
by: Zimmer, Max, et al.
Published: (2026)
by: Zimmer, Max, et al.
Published: (2026)
Getting By Goal Misgeneralization With a Little Help From a Mentor
by: Trinh, Tu, et al.
Published: (2024)
by: Trinh, Tu, et al.
Published: (2024)
Generative AI Meets Wireless Sensing: Towards Wireless Foundation Model
by: Yang, Zheng, et al.
Published: (2025)
by: Yang, Zheng, et al.
Published: (2025)
General Demographic Foundation Models for Enhancing Predictive Performance Across Diseases and Populations
by: Chen, Li-Chin, et al.
Published: (2025)
by: Chen, Li-Chin, et al.
Published: (2025)
Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving on Inequalities
by: Zhao, Haoyu, et al.
Published: (2025)
by: Zhao, Haoyu, et al.
Published: (2025)
Learning to Play Video Games with Intuitive Physics Priors
by: Jaiswal, Abhishek, et al.
Published: (2024)
by: Jaiswal, Abhishek, et al.
Published: (2024)
Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting
by: Qiu, Yunzhong, et al.
Published: (2026)
by: Qiu, Yunzhong, et al.
Published: (2026)
Physics-Guided Multimodal Transformers are the Necessary Foundation for the Next Generation of Meteorological Science
by: Han, Jing, et al.
Published: (2025)
by: Han, Jing, et al.
Published: (2025)
MIMIC: A Generative Multimodal Foundation Model for Biomolecules
by: Golkar, Siavash, et al.
Published: (2026)
by: Golkar, Siavash, et al.
Published: (2026)
Computational Safety for Generative AI: A Signal Processing Perspective
by: Chen, Pin-Yu
Published: (2025)
by: Chen, Pin-Yu
Published: (2025)
RMA: an Agentic System for Research-Level Mathematical Problems
by: Zhao, Zelin, et al.
Published: (2026)
by: Zhao, Zelin, et al.
Published: (2026)
Leveraging Generic Time Series Foundation Models for EEG Classification
by: Gnassounou, Théo, et al.
Published: (2025)
by: Gnassounou, Théo, et al.
Published: (2025)
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
by: Long, Jiangxuan, et al.
Published: (2025)
by: Long, Jiangxuan, et al.
Published: (2025)
Foundation Model in Biomedicine
by: Liu, Xiangrui, et al.
Published: (2025)
by: Liu, Xiangrui, et al.
Published: (2025)
Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025)
by: Dobriban, Edgar
Published: (2025)
Mathematical Models of Computation in Superposition
by: Hänni, Kaarel, et al.
Published: (2024)
by: Hänni, Kaarel, et al.
Published: (2024)
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)
by: Wang, Wenxuan, et al.
Published: (2025)
A Theoretical Survey on Foundation Models
by: Fu, Shi, et al.
Published: (2024)
by: Fu, Shi, et al.
Published: (2024)
From Generative AI to Innovative AI: An Evolutionary Roadmap
by: Mohammadabadi, Seyed Mahmoud Sajjadi
Published: (2025)
by: Mohammadabadi, Seyed Mahmoud Sajjadi
Published: (2025)
Foundation Models for AI-Enabled Biological Design
by: Moldwin, Asher, et al.
Published: (2025)
by: Moldwin, Asher, et al.
Published: (2025)
Similar Items
-
From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective
by: Chen, Tianhua
Published: (2025) -
Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis
by: Chen, Tianhua
Published: (2025) -
Mathematical Foundations of Geometric Deep Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025) -
GAIA: Categorical Foundations of Generative AI
by: Mahadevan, Sridhar
Published: (2024) -
Mathematical Foundation of Interpretable Equivariant Surrogate Models
by: Colombini, Jacopo Joy, et al.
Published: (2025)