Harvard CMSA Courses

Deep Learning Theory - September 10, 2024

Dive into advanced theoretical concepts of deep learning, exploring mathematical foundations and cutting-edge developments in neural network architecture and optimization techniques.

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

Scaling Limits of Neural Networks

Delve into advanced mathematical analysis of neural networks, exploring scaling limits, structural parameters, and their impact on learning models through theoretical insights and practical applications.

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

Foundation Models for Real-Time Cancer Diagnosis

Explore groundbreaking AI applications in cancer diagnosis, focusing on microscopic imaging, foundation models, and the integration of cell morphology with molecular profiles for enhanced pathology evaluation.

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

Data and Model Geometry in Deep Learning - Implications of Geometric Structure

Explore geometric structures in machine learning, focusing on symmetries in data domains and their impact on neural network design, stability, and learnability through unitary group convolutions.

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

Understanding High-dimensional Stochastic Dynamics on Realistic Networks

Explore mathematical approaches to analyzing high-dimensional stochastic systems on sparse networks, with applications to epidemiology, neural networks, and opinion dynamics.

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

The Science of Economic Opportunity - New Insights from Big Data

Explore groundbreaking research using big data to understand economic mobility, examining neighborhood impacts, racial disparities, education's role, and social capital's influence on opportunities for low-income children.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Predictive Disparity in Modern Machine Learning Applications - Sources and Impact

Delve into the factors driving performance disparities in modern ML systems, exploring how demographic differences impact predictive accuracy across facial recognition and generative AI applications.

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

Crowdsourcing with Multi-institutional EHR to Improve Reliability of Real World Evidence

Explore analytical approaches for mining electronic health records data across healthcare systems, addressing challenges in heterogeneity, privacy, and high dimensionality to improve real-world evidence reliability.

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

Statistical Machine Learning for Learning Representations of Embryonic Development

Explore statistical machine learning approaches for understanding embryonic development, focusing on cell behavior, gene expression, and tissue mechanics in early-stage mouse embryos.

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

Measuring Discrimination in Multi-Phase Systems with an Application to Child Protection

Delve into groundbreaking research on racial disparities in foster care systems, exploring how discrimination compounds across multiple decision-makers and affects child protection outcomes.

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

How Algorithmic Progress is Driving Progress in Big Data and AI

Explore how algorithmic improvements have outpaced hardware advances in driving AI and Big Data progress, with insights from decades of research and practical applications.

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

The Complexity of Knots - A Computational Approach

Delve into the mathematical complexity of knot theory, exploring Turing's final work, computational methods, and recent breakthroughs in understanding topological equivalence and Reidemeister moves.

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

Can AI Help with Hard Mathematics? - Applications and Challenges

Explore the intersection of AI and pure mathematics research, examining recent breakthroughs, current limitations, and future potential in mathematical reasoning and discovery.

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

Using Saliency Analysis to Discover Mathematical Structure

Discover how saliency analysis reveals mathematical structures through case studies, exploring innovative applications at the intersection of mathematics and machine learning.

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

Logic and Formal Methods in Mathematics and Machine Learning

Explore fundamental connections between mathematical logic and formal methods while examining their applications in modern machine learning and computational systems.

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