Graph Theory Courses

MITCBMM

M-Theory

Explore M-theory's core concepts, invariant representations, and biological predictions with MIT's Tomaso Poggio in this comprehensive lecture.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

MITCBMM

Towards a System-Level Theory of Computation in the Visual Cortex

Explore computational models of visual processing in primate cortex, combining neuroscience and AI to understand perception and develop advanced computer vision systems.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

MITCBMM

Theories for Intelligence - Lorenzo Rosasco: Learning Theory

Explore machine learning fundamentals, learning theory, and supervised learning techniques like nearest neighbor algorithms, with practical exercises and mathematical insights.

• YouTube
• 1 hour 40 minutes
• Self-Paced
• Free Video

MITCBMM

Reflexive Theory of Mind Reasoning in Games

Explore reflexive theory-of-mind reasoning in games, examining how players build predictive mental models of co-players based on experience and context, challenging traditional game-theoretic assumptions.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Insights into Mathematics

Number Theory and Algebra in Asia - Math History - NJ Wildberger

Explores number theory, algebra, and astronomy in ancient Chinese, Indian, and Arab mathematics, highlighting key figures and their contributions to mathematical development.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Insights into Mathematics

Greek Number Theory - Math History - NJ Wildberger

Explore ancient Greek number theory, including primes, perfect numbers, and the Fundamental Theorem of Arithmetic. Learn about Euclidean algorithms, continued fractions, and Pell's equation.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Insights into Mathematics

Greek Number Theory - Math History - NJ Wildberger

Explore ancient Greek number theory, including squares, primes, and the Fundamental Theorem of Arithmetic. Learn about Euclidean algorithms, continued fractions, and Archimedes' Cattle Problem.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Theory Seminar - On Linear Data Structures and Matrix Rigidity, Sivaramakrishnan Ramamoorthy

Explores systematic linear data structures, rectangular rigidity, and their equivalence. Discusses rigidity lower bounds and Cayley graphs, presenting recent research findings and open problems.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Theory Seminar - Differential Privacy in Theory and Practice, Abie Flaxman

Explore differential privacy in the US Census, its impact on data accuracy, and potential improvements. Insights from analyzing test runs and 1940 data application.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Theory Seminar - Spectral Independence in High-Dimensional Expanders, Kuikui Liu

Explore spectral independence in high-dimensional expanders and its application to the hardcore model, including rapid mixing of Glauber dynamics for generating random independent sets.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Theory Seminar - Submodular Maximization

Explore submodular maximization techniques, recent advances, and open questions in combinatorial optimization with Professor Niv Buchbinder's comprehensive theory seminar.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

IEEE Signal Processing Society

Graph Signal Processing for Neuroimaging - When Anatomy Meets Activity

Explore brain imaging through graph signal processing, connecting anatomy and activity. Learn MRI techniques, brain graphs, and innovative analysis methods for neuroimaging data.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

IEEE Signal Processing Society

Robustness of Graph Neural Networks

Explore techniques to enhance robustness of Graph Neural Networks, including adaptive attacks, certificates, and collective reasoning. Learn strategies to improve model resilience in graph-based machine learning.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

IEEE Signal Processing Society

Subgraph-Based Networks for Expressive, Efficient, and Domain-Independent Graph Learning

Explore advanced graph learning techniques using subgraph-based networks for expressive, efficient, and domain-independent applications in data science and signal processing.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

IEEE Signal Processing Society

Single View and Multiview Signed Graph Learning - Applications to Gene Regulatory Network Inference

Explore graph learning techniques for gene regulatory network inference, focusing on single-view and multi-view approaches, their applications, and computational challenges in bioinformatics.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video