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#Compressed Sensing

Showing: 33 courses
Broad Institute

Sparsity, Epistasis, and Models of Fitness Functions - Leveraging Interactions in Protein Function Prediction

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Explore sparsity in epistatic interactions to enhance fitness function modeling. Learn about Walsh-Hadamard transform, Graph Fourier transforms, and Epistatic Net for improved protein function prediction.
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1 Lesons
1 hour 37 minutes
On-Demand
Free-Video
Broad Institute

Learning Differentiation Dynamics from Lineage Tracing Datasets

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Uncover robust computational approaches for inferring cell dynamics from single-cell transcriptomics integrated with lineage tracing, focusing on the CoSpar method and its applications in hematopoiesis and reprogramming.
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12 Lesons
54 minutes
On-Demand
Free-Video
Steve Brunton

Linear Algebra

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Comprehensive exploration of linear algebra concepts, including SVD, Fourier analysis, and compressed sensing, with practical applications and coding examples in MATLAB and Python.
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105 Lesons
19 hours
On-Demand
Free-Video
Steve Brunton

Koopman Analysis

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Explore advanced techniques in dynamical systems analysis, including Koopman theory, spectral analysis, and applications to control and chaos in various scientific domains.
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13 Lesons
3 hours 30 minutes
On-Demand
Free-Video
Steve Brunton

Dynamical Systems

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Explore advanced techniques in dynamical systems analysis, including SINDy, Koopman theory, and deep learning applications for modeling complex nonlinear systems.
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19 Lesons
6 hours
On-Demand
Free-Video
Steve Brunton

Sparsity and Compression

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Explore sparsity and compression techniques, from compressed sensing to robust regression, with practical applications in image processing, signal analysis, and machine learning.
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23 Lesons
4 hours 30 minutes
On-Demand
Free-Video
Steve Brunton

A Compressed Overview of Sparsity

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Explore compressed sensing in engineering mathematics, covering sparsity, compression techniques, and L1 minimization. Learn key principles and applications beyond image processing.
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10 Lesons
35 minutes
On-Demand
Free-Video
Alan Turing Institute

On the Unreasonable Effectiveness of Compressive Imaging - Ben Adcock, Simon Fraser University

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Explores compressive imaging's effectiveness, discussing compressed sensing theory, optimal sampling strategies, and practical applications in data science and imaging technology.
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18 Lesons
41 minutes
On-Demand
Free-Video
Steve Brunton

Compressed Sensing and Dynamic Mode Decomposition

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Explore leveraging compressed sensing for dynamic mode decomposition, enabling analysis of under-sampled data. Learn techniques to extract meaningful insights from limited information.
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1 Lesons
31 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

From Compressed Sensing to Deep Learning - Tasks, Structures and Models

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Explore signal processing from compressed sensing to deep learning, covering task-based acquisition, sub-Nyquist sampling, super-resolution techniques, and hybrid algorithms combining model-based and data-driven approaches.
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42 Lesons
57 minutes
On-Demand
Free-Video
Fields Institute

A Family of Measurement Matrices for Generalized Compressed Sensing

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Explore generalized compressed sensing with a family of measurement matrices, focusing on signal recovery from noisy linear measurements and the role of effective rank in guaranteeing accurate recovery.
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11 Lesons
44 minutes
On-Demand
Free-Video
IEEE

An Improved Lower Bound for Sparse Reconstruction from Subsampled Hadamard Matrices

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Explore improved lower bounds for sparse reconstruction using subsampled Hadamard matrices, advancing understanding in signal processing and compressed sensing.
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1 Lesons
20 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Signal Recovery with Generative Priors - SIAM-IS Virtual Seminar

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Explore signal recovery using generative priors in imaging, discussing neural network models, recovery guarantees, and applications in compressed sensing and phase retrieval.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Geometric Constructions for Sparse Integer Signal Recovery

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Explore geometric constructions for sparse integer signal recovery, focusing on matrix design for robust vector reconstruction in compressed sensing applications.
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1 Lesons
47 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Helmut Bölcskei - Lossy Compression on General Data Structures

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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.
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14 Lesons
44 minutes
On-Demand
Free-Video
Alan Turing Institute

Mathematical Representations and Models - Professor Jared Tanner, Oxford University

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Explore mathematical models for high-dimensional data analysis with Oxford's Prof. Tanner. Learn about Fourier series, localisation, coherence, and advanced techniques for efficient information extraction and processing.
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12 Lesons
53 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Splines and Imaging - From Compressed Sensing to Deep Neural Networks

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Explore splines in imaging, from compressed sensing to deep neural networks. Unser demonstrates spline optimality in inverse problems and their connection to deep learning, offering insights into ReLU architecture and activation optimization.
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24 Lesons
49 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Geometry and Topology of Spaces of Structured Matrices

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Explore geometric and topological aspects of structured matrices, including momentum maps, frame spaces, and applications in compressed sensing and graph theory.
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12 Lesons
38 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Statistical Physics and Statistical Inference - Lecture 2

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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.
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47 Lesons
1 hour 43 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Quantum-Enhanced Multiparameter Estimation and Compressed Sensing of a Field - Alice Sinatra

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Explore quantum-enhanced multiparameter estimation and compressed sensing of fields with Alice Sinatra. Discover cutting-edge techniques in quantum metrology and their applications in fundamental physics research.
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1 Lesons
35 minutes
On-Demand
Free-Video
Fields Institute

Recent Advances in Iterative Solvers for Interior Point Methods

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Explore recent advancements in iterative solvers for interior point methods, covering linear programming, optimization theory, and applications in big data and compressed sensing.
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21 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Splitting the Difference Between Deep and Shallow Solutions of Inverse Problems

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Explores balancing compressed sensing and deep learning in computational imaging, showcasing Plenoxels for efficient photorealistic view synthesis without neural networks.
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23 Lesons
46 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

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

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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.
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31 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Solving Inverse Problems With Deep Neural Networks - Robustness Included?

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Exploring robustness of deep learning in inverse problems, focusing on resilience against statistical noise and adversarial perturbations in image reconstruction tasks.
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1 Lesons
29 minutes
On-Demand
Free-Video
Paul Hand

Theory of GANs for Compressed Sensing

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Explore the theory of GAN priors in compressed sensing, covering key concepts, proofs, and optimization problems. Gain insights into visual representation and set restricted eigen value conditions.
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10 Lesons
57 minutes
On-Demand
Free-Video
Simons Institute

Combinatorial Problems in Support Recovery for 1-bit Compressed Sensing

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Explore advanced techniques in 1-bit compressed sensing, focusing on combinatorial approaches to support recovery and their applications in coding theory.
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1 Lesons
28 minutes
On-Demand
Free-Video
Alan Turing Institute

Masterclass for Optimisation - Professor Coralia Cartis, University of Oxford

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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.
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1 Lesons
1 hour 53 minutes
On-Demand
Free-Video
Simons Institute

Applications of Sub-linear Algorithms in Other Fields

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Explore how sub-linear algorithms impact diverse fields, enhancing efficiency and scalability in data analysis and problem-solving across disciplines.
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1 Lesons
31 minutes
On-Demand
Free-Video
Joint Mathematics Meetings

What Physics Teaches Us About Computation in High Dimensions

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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.
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23 Lesons
1 hour
On-Demand
Free-Video
Fields Institute

Quantum Phase Estimation by Compressed Sensing

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Explore innovative techniques for quantum phase estimation using compressed sensing, enhancing accuracy and efficiency in quantum information processing.
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1 Lesons
23 minutes
On-Demand
Free-Video
Inside Livermore Lab

Photorealistic Reconstruction from First Principles

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Explore photorealistic reconstruction techniques combining compressed sensing and deep learning for computational imaging, focusing on recovering optical density and view-dependent color from calibrated photographs.
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1 Lesons
55 minutes
On-Demand
Free-Video
Inside Livermore Lab

Big Data Inverse Problems - Promoting Sparsity and Learning to Regularize

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Explore novel methods for solving big data inverse problems, focusing on sparse representation and L1 regularization. Learn about variable projection and deep neural networks for parameter optimization.
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1 Lesons
1 hour
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

The Mathematical Foundations of Deep Learning: From Rating Impossibility to Practical Existence Theorems

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Explorez les fondements mathématiques de l'apprentissage profond, de l'impossibilité de notation aux théorèmes d'existence pratique. Découvrez les défis et les avancées dans ce domaine en pleine expansion.
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25 Lesons
1 hour 1 minute
On-Demand
Free-Video