INI Seminar Room 2 Courses

Soft Constraints and Uncertainty Representation as a Principle for Intelligent Systems

Explore soft constraints and uncertainty representation principles for building intelligent systems with Prof. Andrew Wilson from Courant Institute.

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

Well-Posedness of Singular Switched Explicit Models and Potential Applications in Model-Based Reinforcement Learning for Constrained Systems

Explore well-posedness of singular switched explicit models and their applications in model-based reinforcement learning for constrained systems.

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

Soft Constraints and Uncertainty Representation as a Principle for Intelligent Systems

Explore soft constraints and uncertainty representation as fundamental principles for building intelligent systems with Professor Andrew Wilson from Courant Institute.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Early Stopping for Reaching Optimality While Saving Computational Resources

Discover early stopping techniques for achieving optimal machine learning performance while minimizing computational costs in this mathematical sciences seminar.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Stochastic Gradient with Least-Squares Control Variates

Explore advanced stochastic gradient optimization techniques using least-squares control variates to reduce variance and improve convergence in machine learning algorithms.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Geophysical Inversion Using Deep Generative Models

Explore advanced deep generative models for solving geophysical inversion problems with Prof. Stig Niklas Linde from Université de Lausanne in this specialized seminar.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

From Scattered Samples to Fields of Distributions - Theory and Practice of Spatial Logistic Gaussian Processes

Explore Spatial Logistic Gaussian Processes theory and practice for transforming scattered data samples into comprehensive distribution fields.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

On Selection Bias and Fairness Issues in Machine Learning

Explore selection bias and fairness challenges in machine learning algorithms with insights from statistical theory and practical applications.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

From Learning Differential Operators to Learning Algorithms

Discover how differential operators connect to machine learning algorithms in this advanced mathematical exploration by Professor Houman Owhadi from Caltech.

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

Stochastic Gradient with Least-Squares Control Variates

Explore advanced stochastic gradient methods using least-squares control variates to reduce variance in optimization algorithms for machine learning and uncertainty quantification.

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

From Scattered Samples to Fields of Distributions - Theory and Practice of Spatial Logistic Gaussian Processes

Discover how to transform scattered data samples into continuous probability distribution fields using Spatial Logistic Gaussian Processes theory and practical applications.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Nonparametric Smoothing of Directional and Axial Data

Explore nonparametric smoothing techniques for directional and axial data with Professor Lutz Duembgen from Universität Bern in this specialized statistical seminar.

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

Holomorphic Generalisations of Flavour Branes

Explore holomorphic generalisations of flavour branes in quantum field theory with boundaries, impurities, and defects through advanced mathematical physics research.

• YouTube
• 1 hour 29 minutes
• On-Demand
• Free Video

Hyperbolic and Elliptic Commensurations

Explore hyperbolic and elliptic commensurations in this advanced mathematical seminar by Prof. Mahan Mj from the Tata Institute of Fundamental Research.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Arithmetic (Topological) Quantum Field Theory

Explore arithmetic quantum field theory through topological methods with Professor Minhyong Kim in this advanced mathematical seminar on boundaries, impurities, and defects.

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