International Centre for Theoretical Sciences Courses

Challenges and Prospects for Low-Level End-to-End Reconstruction With Machine

Explore challenges and prospects of low-level end-to-end reconstruction using machine learning in high-energy physics, focusing on innovative techniques and future applications.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Introduction of BDT and Neural Networks for Classification in High Energy Physics - Lecture 2

Explore Boosted Decision Trees and Neural Networks for particle classification in High Energy Physics, enhancing data analysis techniques for groundbreaking discoveries.

• YouTube
• 1 hour 48 minutes
• On-Demand
• Free Video

Introduction of BDT and NN for Classification in HEP

Introduction to Boosted Decision Trees and Neural Networks for particle classification in High Energy Physics, covering fundamental concepts and applications in experimental data analysis.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Video

Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 7

Explore advanced machine learning techniques for high energy physics, including Deepsets, Graph Neural Networks, and Transformers, to analyze complex particle physics data.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

Differentiable Programming for End-to-end Optimization of Experiments - Lecture 6

Explore differentiable programming for optimizing experiments in high-energy physics, focusing on end-to-end solutions and advanced machine learning techniques.

• YouTube
• 2 hours 6 minutes
• On-Demand
• Free Video

Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 4

Explore advanced deep learning architectures like Deepsets, Graph Neural Networks, and Transformers, focusing on their applications in high energy physics data analysis and research.

• YouTube
• 2 hours 3 minutes
• On-Demand
• Free Video

Statistics for Data Analysis with Exercises - Lecture 3

Explore advanced statistical methods for data analysis in high-energy physics, focusing on practical applications and exercises to enhance understanding and skills in this specialized field.

• YouTube
• 1 hour 48 minutes
• On-Demand
• Free Video

Lectures on Deepsets, Graph Neural Networks and Transformers with Applications - Lecture 6

Explore advanced deep learning architectures like Deepsets, Graph Neural Networks, and Transformers, with applications in high energy physics data analysis and research.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Linear and Nonlinear Optical Properties of Crystals from Wavefunction Geometry

Explore linear and nonlinear optical properties of crystals through wavefunction geometry. Gain insights into advanced concepts in condensed matter physics and quantum optics.

• YouTube
• 1 hour 36 minutes
• On-Demand
• Free Video

Ergodicity Breaking in Flatbands by Alexei Andreanov

Explore ergodicity breaking in flatbands with Alexei Andreanov. Gain insights into complex quantum systems, localization physics, and dynamics of periodically driven systems.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Data Mining the Many-body Problem - From Equilibrium to Driven Systems by Marcello Dalmonte

Explore data mining techniques for many-body systems, from equilibrium to driven states. Learn to analyze complex quantum phenomena and their applications in theoretical physics.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Quasi-Crystals, Fractals, and Other Beauties by Cristiane Morais Smith

Explore quasi-crystals, fractals, and related mathematical structures in this lecture by Cristiane Morais Smith, delving into their fascinating properties and applications in physics and beyond.

• YouTube
• 1 hour 42 minutes
• On-Demand
• Free Video

Collective Dissipative Dynamics of Oscillators by Prasanna Venkatesh

Explore collective dissipative dynamics of oscillators in this lecture, covering theoretical concepts and applications in complex systems and quantum physics.

• YouTube
• 1 hour 40 minutes
• On-Demand
• Free Video

Floquet Insulators and Lattice Fermions

Explore Floquet insulators and lattice fermions in this talk by Thomas Iadecola, part of a program on periodically and quasi-periodically driven complex systems in quantum physics.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Re-entrant Localization in Quasi-periodic Chains by Tapan Mishra

Explore re-entrant localization in quasi-periodic chains, examining its implications for quantum systems and complex dynamics in periodically driven structures.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video