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Srinivasan Arunachalam - Overview of learning structured quantum states - IPAM at UCLA
Presenter
- Srinivasan Arunachalam
October 18, 2023
IPAM
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
Presenter
- Maria Schuld
October 16, 2023
IPAM
Algebraic Cycles, L-Values, and Euler Systems Introductory Workshop: Euler Systems, L-Values, and All That: a Brief Introduction Pt I
Presenter
- Chris Skinner
January 23, 2023
SLMath
Mark Iwen - Accurate Recovery of Compactly Supported Smooth Functions from Spectrogram Measurements
Presenter
- Mark Iwen
December 1, 2022
IPAM
Mahdi Soltanolkotabi - Medical image reconstruction via deep learning: architectures, data reduction
Presenter
- Mahdi Soltanolkotabi
November 30, 2022
IPAM
Alberto Bartesaghi - High-throughput cryo-ET: from data acquisition to high-resolution structures
Presenter
- Alberto Bartesaghi
November 18, 2022
IPAM
Ayelet Heimowitz - Center of Mass Alignment for Noisy Tomographic Projections - IPAM at UCLA
Presenter
- Ayelet Heimowitz
November 17, 2022
IPAM
Serena Yeung - Computer Vision for Segmenting & Analyzing Subcellular Components in CE Tomography
Presenter
- Serena Yeung
November 15, 2022
IPAM
Mikhail Kudryashev - High throughput, high performance algorithms for high res subtomogram averaging
Presenter
- Mikhail Kudryashev
November 15, 2022
IPAM
Steven Ludtke - Contextual Conformational Variability in CryoEM and CryoET using Deep Learning
Presenter
- Steven Ludtke
November 14, 2022
IPAM
Ellen Zhoung - Machine learning for determining protein structure and dynamics from cryo-EM images
Presenter
- Ellen Zhong
November 14, 2022
IPAM