
Institute for Pure & Applied Mathematics (IPAM)
The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.
Episodes


Monika Ritsch-Marte - Phase Retrieval and Optical Trapping - IPAM at UCLA

Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA

Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging

Yukio Takahashi - Recent progress in coherent diffraction imaging at SPring-8 - IPAM at UCLA

Marie-Ingrid Richard - Structural evolution of nanoparticles observed with Bragg coherent x-ray

Chris Jacobsen - Coherent x-ray imaging: how big can we go small? - IPAM at UCLA

Laura Waller - 3D phase imaging with scattering samples - IPAM at UCLA

Katie Bouman - Capturing the First Portrait of Our Milky Way's Black Hole & Beyond - IPAM at UCLA

Tim Salditt - Phase Retrieval & Tomographic Reconstruction in X-ray Near-field Diffractive Imaging

Albert Fannjiang - From Tomographic Phase Retrieval to Projection Tomography - IPAM at UCLA

Chris Metzler - Adversarial Sensing: Learning-Based Approach to Imaging & Sensing w/ Unknown Models

George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA

Michael Unser - High-Speed Fourier Ptychography with Deep Spatio-Temporal Priors - IPAM at UCLA

Jianwei John Miao - Computational Microscopy: Coherent Diffractive Imaging to Electron Tomography

Manuel Guizar-Sicairos - Resonant ptychography, 3D magnetization and chemical characterization

Hyunjung Kim - In situ coherent x-ray diffraction imaging study of internal structural deformation

Changyong Song - XFEL imaging & ultrafast irreversible phenomena at femtosecond & nanometer scale

Sebastian Seung - Petascale connectomics and beyond - IPAM at UCLA

Muhammad Hassan - Development of a posteriori error estimates for the coupled cluster equations
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