Institut des Hautes Etudes Scientifiques (IHES) Courses

A Path Towards Autonomous Machine Intelligence

Explore Yann LeCun's vision for autonomous machine intelligence, delving into cutting-edge AI concepts and potential future developments in the field.

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

Holographic Data Representations for Distributed Storage and Network Transmission

Explore holographic data encoding for progressive recovery, ideal for distributed storage and network transmission with unpredictable delays or erasures.

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

Dynamical Sampling and Frames

Explore dynamical sampling in signal recovery, covering space-time sampling, system identification, and source term problems. Gain insights into emerging challenges in this field.

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

A Data Science Startup: Let It Wave's Meandering Adventure and Its Duller Sisters

Explore a data science startup's journey from academic research to consumer electronics, highlighting transformations, challenges, and lessons learned in entrepreneurship.

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

Random Fourier Series vs. Random Wavelet Series

Explore the contrasting properties of random wavelet series and random Fourier series, focusing on regularity and robustness in function reconstruction and analysis.

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

Sketching Semidefinite Programs for Super-Resolution Problems

Explore super-resolution problems, focusing on measure recovery from Fourier coefficients. Learn about sketching approaches to reduce semidefinite program size and algorithmic developments for integral bounds.

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

Lippmann Photography: The Art and Science of Multispectral Imagery

Explore Lippmann photography's multispectral imaging principles, analyzing its spectrum reflection, algorithmic recovery, and modern applications in data storage and science communication.

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

Learning with Volterra Series - Convolutional Networks without Activation Functions

Explore Volterra Series in machine learning, reducing sample and model complexity while maintaining high performance in inference problems.

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

A Taste of Conformal Prediction - Principles and Recent Advances

Explore conformal inference methods for exact prediction intervals, covering basic principles and recent advancements in quantitative and categorical label applications.

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

Human Attention and Communication Mediated via Machine Learning

Explore wavelets' role in modeling vision, extracting brain activity patterns, and detecting neural markers of attention. Learn how machines can measure attention for novel human communication methods.

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

Geometry, Topology and Discrete Symmetries Revealed by Deep Neural Networks

Explore deep neural networks' ability to reveal geometry, topology, and discrete symmetries in manifolds. Learn about universal approximators and their applications in inverse problems and group actions.

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

The New Era of Image Denoising

Explore revolutionary image denoising techniques, their applications in inverse problems, and the concept of diverse solutions in image processing.

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

Sampling through Exploration Exploitation in Markov Chain Monte Carlo

Explore an innovative Markov chain Monte Carlo algorithm combining global proposals and mobile moves for efficient, parallelizable sampling in various applications.

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

Paires de Hecke et K-théorie

Explorez les paires de Hecke en théorie des nombres, leur lien avec la géométrie à grande échelle et les applications aux conjectures de Baum-Connes et Novikov. Découvrez les avancées en K-théorie des C*-algèbres de Hecke.

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

Schatten Properties for Noncommutative Martingale Paraproduct

Explore Schatten class memberships of d-adic martingale paraproducts in semi-commutative settings and characterize Sp-norms using transference methods.

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