Institute for Pure & Applied Mathematics (IPAM) Courses

Pose Estimation, Temperature, Noise, and Biological Temperature Sensors via Cryo-EM

Explore pose estimation, temperature, noise, and heterogeneity in cryo-EM for understanding biological temperature sensors, with focus on TRP channels and advanced analytical techniques.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Detection of Objects in Cryo-Electron Micrographs Using Geometric Deep Learning

Explore geometric deep learning techniques for object detection and segmentation in cryo-electron micrographs, focusing on unsupervised methods and graph-based transformers for complex structures.

• YouTube
• 43 minutes
• On-Demand
• Free Video

High Throughput, High Performance Algorithms for High Resolution Subtomogram Averaging

Explore high-performance algorithms for subtomogram averaging in cryo-electron microscopy, focusing on tools like TomoBEAR and SUSAN to enhance throughput and resolution in structural biology.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Computer Vision for Segmenting & Analyzing Subcellular Components in Cryo-Electron Tomography

Explore computer vision techniques for automated 3D segmentation and analysis of subcellular components in cryo-electron tomography, focusing on mitochondrial features in Huntington's Disease neurons.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Assisting 4D-STEM Data Processing by Machine Learning and Bayesian Optimization

Explore machine learning and Bayesian optimization techniques for processing 4D-STEM data, enhancing efficiency in materials analysis and electron ptychography reconstruction.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Imaging from the Inside Out - Inverse Scattering in Fluorescence Microscopy

Explore subwavelength imaging in scattering media using inverse scattering and fluorescence microscopy. Discover a novel method for high-resolution optical property reconstruction.

• YouTube
• 32 minutes
• On-Demand
• Free Video

HPC+AI-Enabled Real-Time Coherent X-ray Diffraction Imaging - IPAM at UCLA

Explore HPC and AI-enabled real-time coherent X-ray diffraction imaging, revolutionizing materials characterization with advanced light sources, multi-modal techniques, and innovative data processing methodologies.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Petascale Connectomics and Beyond - IPAM at UCLA

Explore petascale connectomics, its advancements in brain mapping, and future exascale projects. Learn about automated image analysis techniques and their impact on understanding neural structures and brain function.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Characterizing Differences in Structural Network Changes from Traumatic Brain Injury

Exploring structural network changes in traumatic brain injury, focusing on motif coherence patterns and their potential link to clinical outcomes like post-traumatic epilepsy through computational modeling.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Inferring Coupled Oscillatory Dynamics From Data - IPAM at UCLA

Explore phase dynamics in oscillatory systems, focusing on phase demodulation techniques and network reconstruction. Learn about protophase-to-phase transformation and applications in cardiorespiratory interactions.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Individual Probability, Reference Class Problem, Model Multiplicity, Reconciling Belief

Explore individual probabilities, reference class problem, and model multiplicity in machine learning. Gain insights on reconciling beliefs and addressing challenges in probability estimation for individuals and groups.

• YouTube
• 20 minutes
• On-Demand
• Free Video

A Multi-Group Approach to Algorithmic Fairness - IPAM at UCLA

Explore multi-group approaches to algorithmic fairness, focusing on predictive algorithms, discrimination concerns, and calibration techniques for unbiased risk assessment across diverse populations.

• YouTube
• 37 minutes
• On-Demand
• Free Video

David Uminsky - LatMath 2022 - IPAM's Latinx in the Mathematical Sciences Conference

Explore mathematical applications in data science, including topological analysis and Fourier transforms, with insights on research initiatives and educational approaches.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Extending the Reach of Quantum Monte Carlo Methods via Machine Learning

Explore how machine learning enhances quantum Monte Carlo methods for electronic structure modeling, improving force calculations and scaling to larger systems in molecular simulations.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Variational Wavefunctions, Machine Learning Architecture for Fermions and Gauge Theories

Explore machine learning architectures for variational wavefunctions in fermion and gauge theory systems, focusing on preserving symmetries and achieving accurate results in quantum mechanics.

• YouTube
• 41 minutes
• On-Demand
• Free Video