International Centre for Theoretical Sciences Courses

Statistics and Data Analysis for Cosmology - Lecture 1

Explore probability concepts in cosmology, including joint and conditional probability, PDFs, independence, Bayes' theorem, and data modeling for analyzing cosmic phenomena.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Reionization - Evidence and Observational Constraints - Lecture 1

Explore the epoch of reionization, its evidence, and observational constraints through absorption signatures, Lyman-alpha forest, and CMBR angular power spectrum in this comprehensive lecture.

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

Galaxy Clusters - Lecture 1

Explore galaxy clusters' formation, evolution, and role in cosmology. Learn about their history, current research status, and characterization methods using the Jeans equation.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Cosmology with Large-Scale Structure - Lecture 1

Explore large-scale structure as a cosmological probe, covering statistical approaches, bias models, and testing methods. Learn how LSS informs our understanding of the universe's composition and evolution.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

21cm Physics and Cosmology - Lecture 2

Explore 21cm physics in cosmology, covering spin temperature, radiative transfer, and 21-cm brightness temperature. Gain insights into the Universe's expansion and structure formation.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

A Golden Age in Physics - Heavy Ion Physics at High Energies

Explore the fascinating world of heavy ion physics, from quantum chromodynamics to quark-gluon plasma. Discover cutting-edge experiments, theoretical challenges, and the future of this exciting field.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Chimera States in Mechanical Oscillator Networks by Shashi Thutupalli

Explore chimera states in mechanical oscillator networks, covering synchronization, Kuramoto model, coupled populations, experimental designs, and various chimera phenomena in complex systems.

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

Musings on Entanglement Entropy in String Theory - Lecture 3

Explore entanglement entropy in string theory, focusing on UV divergences, black hole entropy, and worldsheet perspectives. Delve into gauge transformations, diffeomorphisms, and path integrals.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Musings on Entanglement Entropy in String Theory - Lecture 1

Exploración avanzada de la entropía de entrelazamiento en teoría de cuerdas, abordando divergencias UV y su posible resolución, con aplicaciones a la entropía de agujeros negros.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Musings on Entanglement Entropy in String Theory - Lecture 2

Explore entanglement entropy in string theory, focusing on UV divergences, black hole entropy, and worldsheet perspectives. Delve into advanced concepts and recent developments in theoretical physics.

• YouTube
• 1 hour 41 minutes
• On-Demand
• Free Video

Deep Decoder: Concise Image Representations from Untrained Networks - Lecture 2

Explores untrained neural networks as image models, focusing on the Deep Decoder for efficient compression and denoising. Discusses theoretical foundations and compares performance to other approaches.

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

Deep Reinforcement Learning of Marked Temporal Point Processes

Explore deep reinforcement learning for marked temporal point processes, covering event representation, policy optimization, and applications in information propagation and knowledge creation.

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

Machine Learning at Amazon by Rajeev Rastogi

Explore machine learning applications at Amazon, from product recommendations to size prediction, with insights on challenges and innovative approaches in e-commerce AI.

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

ProtoDash - Fast Interpretable Prototype Selection by Karthik Gurumoorthy

Explore ProtoDash, a fast interpretable prototype selection method for extracting compact representations of large datasets, with applications in causal reasoning, data relationships, and prediction accuracy improvement.

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

A Deep Generative Model for Molecular Graphs by Niloy Ganguly

Explores a deep generative model for molecular graphs using variational autoencoders, discussing its design, properties, and applications in drug discovery and molecule optimization.

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