Probabilistic Models Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Vertex Models - Algebraic and Probabilistic Aspects of Universality 2024

Explore vertex models through algebraic and probabilistic methods, covering integrable statistical mechanics, quantum groups, and universal phenomena like KPZ behavior and limit shapes.

• YouTube
• 18 hours 20 minutes
• On-Demand
• Free Video

Neuro Symbolic

Markov Random Fields, Markov Chains, and Markov Logic Networks - Probabilistic Graphical Models Tutorial

1 review

Explore Markov Random Fields, Logic Networks, and Chains. Dive into probabilistic graphical models with Professor Simari, covering key concepts and applications in AI and machine learning.

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

Probabilistic Topic Models and User Behavior

Explore latent thematic structures in document collections and user behavior data. Learn how topic modeling algorithms can enhance predictions and understanding of collection organization.

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

IEEE

Confident Monte Carlo - Rigorous Analysis of Guessing Curves for Probabilistic Password Models

Rigorous analysis of guessing curves for probabilistic password models using Confident Monte Carlo method, enhancing security evaluation techniques for password-based authentication systems.

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

Valence Labs

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for language models using Twisted Sequential Monte Carlo, enhancing LLM capabilities and safety measures.

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

Uncertainty in Artificial Intelligence

Geometric Probabilistic Models - Tutorial 4

Explore geometric probabilistic models for data-efficient, uncertainty-aware decision-making in applications like drug design and robotics. Learn theory and implementation of Gaussian processes and related techniques.

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

Uncertainty in Artificial Intelligence

Probabilistic Flow Circuits: Towards Deep Models for Tractable Inference - Oral Session 6

Explore a novel approach combining probabilistic circuits with normalizing flows for enhanced expressivity while maintaining tractable inference in deep probabilistic models.

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

USENIX

Fast Inference for Probabilistic Graphical Models

Innovative system for efficient probabilistic graphical model inference, offering significant speedup through optimized memory management, parallelization, and flexible integration with sampling algorithms.

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

DataLearning@ICL

Probabilistic Circuits: Deep Probabilistic Models with Tractable Inference

Explore probabilistic circuits as deep models for efficient reasoning under uncertainty, examining their structural properties and connections to neuro-symbolic AI.

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

USC Information Sciences Institute

Designing Priors for Bayesian Neural Nets to Enhance Probabilistic Predictive Models in Engineering

Explore how Bayesian neural networks can enhance engineering predictive models by integrating physics-based knowledge and providing robust uncertainty quantification for high-consequence decision-making applications.

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

UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.

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

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for Large Language Models using Sequential Monte Carlo methods, focusing on safety, capability enhancement, and evaluation frameworks.

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

USENIX

Differentially Private Diffusion Probabilistic Models for Image Synthesis

Explore how dp-promise leverages diffusion model noise to achieve differential privacy in image synthesis while maintaining high image quality and protecting sensitive training data.

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

Stanford Seminar - Stories from CoCoLab: Probabilistic Programs, Cognitive Modeling, & Smart Web Pages

Explore probabilistic programs, cognitive modeling, and smart web pages through CoCoLab's research. Gain insights into thinking processes, language understanding, and innovative experiment designs.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

Diffusion Models Beat GANs on Image Synthesis - Machine Learning Research Paper Explained

Explore how Diffusion Models outperform GANs in image synthesis, with improved architecture, classifier guidance, and better sample quality while maintaining distribution coverage.

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