Compressed Sensing Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Multi-Modal Imaging with Deep Learning and Modeling 2022

Explore cutting-edge deep learning and mathematical techniques for processing multimodal microscopy data from electron, X-ray, optical, and scanning probe imaging systems.

• YouTube
• 16 hours 17 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

Mathematics of Signal Processing - Trimester Program Lectures

Explore advanced mathematical foundations of signal processing through expert lectures on compressive sensing, machine learning optimization, and Gabor analysis.

• YouTube
• 1 day 10 hours 59 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Sparse Matrices in Sparse Analysis - Anna Gilbert

Explore sparse matrices in compressive sensing, focusing on expander graphs and their applications. Learn about metric repair scenarios and algorithms for sparse signal recovery.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Joint Mathematics Meetings

What Physics Teaches Us About Computation in High Dimensions

Explore the intersection of physics and high-dimensional computation, uncovering insights on phase transitions, algorithms, and deep learning in this thought-provoking lecture by Lenka Zdeborová.

• YouTube
• 1 hour
• Self-Paced
• Conference Talk

IEEE Signal Processing Society

Computational Imaging Systems: From DiffuserCam to Neural Activity Tracking - Seminar 2

Explore computational imaging systems, focusing on DiffuserCam technology and its applications in 3D neural activity tracking. Learn about challenges and solutions in image reconstruction and processing.

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

International Centre for Theoretical Sciences

Statistical Physics and Statistical Inference - Lecture 2

Explore statistical physics and inference, covering Bayesian methods, error correction, spin glasses, and advanced algorithms like belief propagation. Gain insights into phase transitions and applications in machine learning.

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

International Centre for Theoretical Sciences

Inverse Problems under a Learned Generative Prior - Lecture 1

Explores inverse problems using generative priors, comparing to sparsity models. Covers theory, algorithms, and applications in compressive sensing and phase retrieval, with focus on deep learning approaches.

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

Alan Turing Institute

Masterclass for Optimisation - Professor Coralia Cartis, University of Oxford

Explore advanced optimization techniques for large-scale problems with Professor Coralia Cartis. Learn about algorithm development, analysis, and implementation for various problem classes in numerical optimization.

• YouTube
• 1 hour 53 minutes
• Self-Paced
• Free Video

Society for Industrial and Applied Mathematics

What Sparsity and L1 Optimization Can Do for You

Explore sparsity, compressive sensing, and l1 optimization's impact on science, technology, and machine learning. Learn fast algorithms and applications in PDE, data collection, and image processing.

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

Fields Institute

Low-Rank Models and Applications

Explore cutting-edge research in low-rank models, tensor decomposition, PCA, and matrix completion through expert presentations on computational methods and theoretical advances.

• YouTube
• 10 hours 5 minutes
• Self-Paced
• Free Video

Institut Henri Poincaré

Structured Regularization Summer School 2017

Dive into advanced mathematical techniques for structured regularization through expert lectures covering optimization, machine learning, and signal processing applications.

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

Society for Industrial and Applied Mathematics

Infinite-Dimensional Inverse Problems with Finite Measurements

Explore infinite-dimensional inverse problems with finite measurements, focusing on uniqueness, stability, and reconstruction. Learn about applied harmonic analysis, compressed sensing, and inverse problems in PDEs.

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

Society for Industrial and Applied Mathematics

Coupled Physics Imaging with Sound and Light - Deterministic and Stochastic Approaches

Explore coupled physics imaging techniques combining sound and light, covering PhotoAcoustic Tomography, Ultrasound Modulated Acoustic Tomography, and innovative reconstruction methods using Compressed Sensing and Machine Learning.

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

Society for Industrial and Applied Mathematics

Self-supervised Deep Learning for Image Recovery - SIAM-IS Virtual Seminar

Self-supervised deep learning approach for image recovery, focusing on dataset-free methods. Explores Bayesian deep networks, uncertainty prediction, and applications in compressive sensing, outperforming traditional methods.

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

Hausdorff Center for Mathematics

Helmut Bölcskei - Lossy Compression on General Data Structures

Explore lossy compression for data on manifolds and fractals, with bounds on rate-distortion function and quantization error. Applications in data science and image processing.

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