Institute for Pure & Applied Mathematics (IPAM) Courses

Machine Learning Basics: A Speedrun - IPAM at UCLA

Speedrun through machine learning fundamentals, covering key concepts like inductive bias, regularization, and kernel methods for both linear and nonlinear regression.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

A Mathematical Introduction to Quantum Embedding Theory - IPAM at UCLA

Explore quantum embedding methods for strongly-correlated materials, focusing on computational challenges at the single-particle level and recent optimization approaches.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

A Physical-Chemical Motivation Behind Quantum Embedding Theories - IPAM at UCLA

Explore quantum embedding theories, their physical motivations, and applications in many-electron problems. Learn about Green's function embedding and other approaches for accurate, controlled approximations.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Randomized Methods for Quantum Many-Body Problems - A Mathematical Primer

Explore randomized methods for quantum many-body problems, focusing on Monte Carlo techniques to approximate ground and excited states in large systems. Learn about VMC and FCIQMC algorithms.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Many-Body Perturbation Theory and Wavefunction Methods: A Physics Perspective

Explore many-body perturbation theory and wavefunction methods from a physics perspective, covering applications, multiscale modeling, and advanced quantum mechanics concepts.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Elements of Electronic Structure Calculations - HF and DFT - IPAM at UCLA

Explore fundamental concepts of electronic structure calculations, including Hartree-Fock and Density Functional Theory, with insights on modern methodologies and applications in quantum mechanics.

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

Ab Initio Quantum Chemistry Approaches to Nonequilibrium Interactions in Molecules

Explore ab initio quantum chemistry approaches for nonequilibrium interactions in molecules and materials, covering correlated photon-molecule interactions, molecular strong coupling, and polariton dynamics.

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

Natasha Jaques - Social Reinforcement Learning - IPAM at UCLA

Explore social reinforcement learning, multi-agent RL, and environment generation for AI assistants. Discover techniques for generalization, transfer, and web navigation in intelligent systems.

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

Machine Learning and Game Theory for Social Impact

Explore machine learning and game theory applications in security, sustainability, and food rescue, featuring real-world deployments and innovative solutions for societal challenges.

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

Sense-Making - Accounting for Intelligibility - IPAM at UCLA

Exploring mathematical accounting systems for collective intelligence, focusing on sense-making as a key component in understanding and articulating the phenomenon of intelligence.

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

Institutions, Innovation, and the Social Production of Collective (Un)Intelligence

Explore how institutions and innovation shape collective intelligence, examining scientific attention, discovery limitations, and strategies for fostering creativity in research and knowledge production.

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

Broadening the Reach of Mathematical Approaches to the Study of Intelligences

Explore mathematical approaches to studying diverse intelligences across fields, discussing strategies for non-mathematicians to adopt these methods and potential funding opportunities for future research.

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

Learning and Persuading with Anecdotes - IPAM at UCLA

Explore learning and communication dynamics using anecdotal evidence, examining strategic behaviors, biases, and implications for opinion formation and collective intelligence.

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

Mesoscale Models and Many-Body Systems - IPAM at UCLA

Explores mesoscale structures in many-body systems, explaining the autonomy of continuum equations and their connection to lower-scale physics, with implications for deep neural networks.

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

Plasticity Without Genetic Change - Bioelectric Embryos & Synthetic Proto-Organisms

Explore bioelectric embryos and synthetic organisms, delving into morphogenetic control, AI-driven tissue reconfiguration, and collective behaviors challenging traditional biological distinctions.

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