Generalization Courses and Certifications

Simons Institute

Geometry, Optimization and Generalization in Multilayer Networks

Explore the interplay of geometry, optimization, and generalization in multilayer networks, focusing on representation learning and its applications in deep learning architectures.

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

Simons Institute

Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent

Explore deep learning optimization and generalization through gradient descent trajectories, uncovering insights into neural network behavior and performance.

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

Institute for Pure & Applied Mathematics (IPAM)

Reasoning Algorithmically- From Toy Experiments to AGI Modules

Explore neural networks' potential in algorithmic computation, from toy experiments to groundbreaking applications in mathematics and AI reasoning, with insights on their transformative impact on machine learning and computer science.

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

Pinecone

LLMs- Consider Hallucinatory Unless Proven Otherwise

Explore strategies for reducing hallucinations in LLMs, including RAG, feedback functions, and query planning, to enhance AI reliability and performance.

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

International Centre for Theoretical Sciences

Toward Theoretical Understanding of Deep Learning - Lecture 2

Explores theoretical aspects of deep learning, including overparameterization, optimization, generalization, and generative models, offering insights for researchers and practitioners in machine learning.

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

International Mathematical Union

The Mathematics of Artificial Intelligence

Explore the mathematical foundations of AI, its impact on problem-solving in mathematics, and the challenges in developing reliable AI systems. Gain insights into generalization, explainability, and AI applications in inverse problems and PDEs.

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

Applied Algebraic Topology Network

Gunnar Carlsson - Topological Deep Learning

Explore TDA-inspired approaches to deep learning, addressing issues like data hunger and generalization. Discover topological methods for building neural networks and analyzing weight spaces across various datasets.

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

IEEE

Parallel Reachability in Almost Linear Work and Square Root Depth

Explore efficient parallel algorithms for graph reachability, focusing on distributed computing and improved runtime complexity in large-scale networks.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

Michael Penn

Generalizing the Internet's Favorite Integral

Explore a mathematical journey generalizing a popular integral, delving into advanced techniques and uncovering surprising connections in calculus and analysis.

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

Institute for Pure & Applied Mathematics (IPAM)

The Elusive Generalization and Easy Optimization - Part 2

Explore generalization in machine learning and optimization of non-convex systems through gradient descent, focusing on recent developments and empirical findings in neural networks.

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

Institute for Pure & Applied Mathematics (IPAM)

The Elusive Generalization and Easy Optimization in Machine Learning - Part 1

Explore generalization in machine learning and optimization by gradient descent, focusing on recent developments and empirical findings in neural networks that challenge traditional theoretical foundations.

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

Institute for Mathematical Sciences

Beating the Odds - Learning or Hallucinating? The Science of Data Today

Explore the intersection of data science, learning, and hallucination with insights from a renowned mathematician on current trends and challenges in the field.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Uncertainty in Artificial Intelligence

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective - Oral Session 1

Explore MixupE, an improved data augmentation technique for deep neural networks. Gain insights into its theoretical foundations and practical applications across various domains.

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

Uncertainty in Artificial Intelligence

Human-in-the-Loop Mixup: Aligning Synthetic Data with Human Perception - Oral Session 2

Explore human-aligned synthetic data in machine learning, focusing on mixup regularization. Discover how perceptual judgments and uncertainties can enhance model reliability and generalization.

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

Institut des Hautes Etudes Scientifiques (IHES)

Reliable AI: From Applied Harmonic Analysis to Quantum Computing

Explore reliable AI through generalization in graph neural networks and explainability using applied harmonic analysis. Delve into limitations of digital hardware and connections to quantum computing.

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