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Explore quantum walk algorithms with Jingbo Wang from the University of Western Australia, in a less than 1-hour presentation at IPAM, UCLA. Delve into efficient quantum circuit design and potential applications.
Explore the impact of causality in medical imaging with this short program by IPAM. Learn about data scarcity, mismatch, predictive modeling, and machine-learning strategies in clinical practice.
Explore Bayesian models in medical image analysis with ETH Zurich's Ender Konukoglu. Learn MRI reconstruction, outlier detection, and more in under an hour with IPAM.
Explore the geometric understanding of deep learning for biomedical image reconstruction in this short program by IPAM. Gain insights into CNNs, inverse problems, and unsupervised learning.
Explore deep learning techniques for MR image reconstruction and contrast conversion with Dosik Hwang from Yonsei University, offered by IPAM. Less than 1-hour workload.
Learn about trustworthy deep learning, including robust, accurate, efficient, and private aspects, from UCLA's Stanley Osher in under an hour.
Explore the optimality of splines in imaging and deep neural network design with this under 1-hour material from the Institute for Pure & Applied Mathematics.
Explore the interaction between microbiomes and built environments in this short program by IPAM, featuring insights from UCSD's Jack Gilbert.
Explore the intersection of control, learning, and optimization with Melanie Zeilinger from ETH Zurich & University of Freiburg, focusing on safety in control systems. Offered by IPAM.
Explore the intersection of control, learning, and optimization with Daniel Kuhn's 1-2 hour material from IPAM, focusing on Wasserstein Distributionally Robust Optimization in machine learning.
Explore the statistical complexity of reinforcement learning with Mengdi Wang from Princeton University in this less than 1-hour material offered by IPAM. Delve into minimax-optimal sample complexities, off-policy evaluation, and more.
Explore computational psychiatry with Yale's John Murray, using biophysically-based models of large-scale brain dynamics. Offered by IPAM, it's under 1-hour long.
Explore computational approaches to understanding impaired motivation in psychosis with Deanna Barch from Washington University, in a short program by IPAM.
Explore computational psychiatry's new framework with A. David Redish from the University of Minnesota, offered by IPAM. Understand psychiatric dysfunctions as information processing issues in less than 1 hour.
Explore predictive modeling and machine learning in addiction treatment with Sarah Yip from Yale University, in this less than 1-hour offering from the Institute for Pure & Applied Mathematics.
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