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#Bayesian Inference

Showing: 96 courses
Santa Fe Institute

Rational Ignorance - Optimal Learning from Complex Mechanistic Models

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Explore optimal Bayesian learning from complex models, challenging traditional approaches and proposing a new method to maximize expected information while avoiding bias in multiparameter systems.
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18 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Geometric Representations of Far Future Predictions in Deep Neural Networks - Next-Token Training

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Explore universal geometric representations of far-future beliefs in deep neural networks trained on next-token prediction, uncovering fractal and quantum-like structures embedded in network activations.
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1 Lesons
54 minutes
On-Demand
Free-Video
Fields Institute

Parameter Estimation in Mathematical Oncology - Lecture

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Dive into advanced techniques for parameter estimation in mathematical oncology, exploring key concepts and practical applications.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Predictive Inference and Material World in Cognitive Processes

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Explore the interplay between predictive inference and the material world in cognitive processes, delving into complex systems and interdisciplinary physics perspectives.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
The Julia Programming Language

Celeste.jl - Petascale Computing in Julia

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Explore Celeste.jl, a Julia-based project for petascale astronomical image analysis using Bayesian inference, showcasing Julia's power in high-performance computing and data science on supercomputers.
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42 Lesons
52 minutes
On-Demand
Free-Video
Institute for Advanced Study

Steps Towards More Human-Like Learning in Machines - Josh Tenenbaum

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Explore how machines can achieve more human-like learning through probabilistic programming, intuitive psychology, and simulation engines. Discover insights on core knowledge and one-shot learning in AI.
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51 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Cooper

Using Bayesian Inference to Detect Cyber Attacks

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Explore Bayesian inference techniques for detecting cyber attacks, enhancing your ability to identify and respond to security threats in real-time.
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1 Lesons
21 minutes
On-Demand
Free-Video
The Royal Institution

Is Reality a Controlled Hallucination? - Exploring Consciousness and Perception

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Explore consciousness as a controlled hallucination through innovative theories and experiments. Delve into perception, self-awareness, and the nature of reality with neuroscientist Anil Seth.
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26 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Alan Turing Institute

Iterative Stochastic Numerical Methods for Statistical Sampling

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Explore stochastic algorithms for Bayesian inference, blending molecular dynamics with data analytics. Learn innovative approaches to merge physical laws and data science in engineering applications.
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1 Lesons
59 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Physics-Assisted Multi-Robot Exploration

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Explore cutting-edge techniques for multi-robot systems using physics-assisted approaches to enhance exploration and coordination in complex environments.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Alan Turing Institute

Statistics in Cyber-Security - Dr Nick Heard, Imperial College London

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Explore statistical approaches for cyber-security, from micro-level models to full network graph representations, to identify illegitimate network activity using enterprise data sources.
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23 Lesons
1 hour 1 minute
On-Demand
Free-Video
Simons Institute

Statistical Inference I

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Explore statistical inference fundamentals, including models, estimation, minimax risk, and Bayesian approaches, with UC Berkeley's Will Fithian.
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8 Lesons
56 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Geometric and Topological Data Analysis of Enzyme Kinetics

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Explore geometric and topological data analysis techniques applied to enzyme kinetics, focusing on ERK molecular dynamics and its implications for cancer and developmental defects.
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10 Lesons
24 minutes
On-Demand
Free-Video
Alan Turing Institute

The Promises and Pitfalls of Stochastic Gradient Langevin Dynamics - Eric Moulines

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Explore Stochastic Gradient Langevin Dynamics: its potential and challenges in optimization, data processing, and machine learning. Gain insights from expert Eric Moulines on this powerful algorithm.
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1 Lesons
52 minutes
On-Demand
Free-Video
Alan Turing Institute

Digital Twins Workshop: Foundations and Challenges - Day 1

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Advancing digital twins research: Experts explore Bayesian inference, irregular posteriors, and geophysical applications in this foundational workshop for data-driven engineering.
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1 Lesons
1 hour 57 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2023 - Markov Chain Monte Carlo

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Explore Markov Chain Monte Carlo methods, from basic concepts to advanced techniques like Hamiltonian Monte Carlo, with practical applications and diagnostics for statistical modeling.
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9 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2022 - Bayesian Inference

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Explore Bayesian inference through practical examples like globe tossing. Learn updating, sampling, and computing distributions using grid approximation and posterior predictive methods.
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8 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Richard McElreath

Science Before Statistics - Causal Inference

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Comprehensive workshop on causal inference, covering key concepts like causal design, graph analysis, and Bayesian inference. Equips researchers with tools to navigate complex causal relationships in data analysis.
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8 Lesons
3 hours 2 minutes
On-Demand
Free-Video
Simons Institute

Scaling Up Bayesian Inference for Big and Complex Data

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Explore advanced Bayesian inference techniques for large-scale datasets, focusing on computational challenges and innovative solutions in machine learning and deep learning applications.
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17 Lesons
47 minutes
On-Demand
Free-Video
MITCBMM

Perceptual Organization From a Bayesian Point of View

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Explore Bayesian approach to perceptual organization, examining how the visual system groups images into distinct units through inverse inference and mixture estimation techniques.
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14 Lesons
1 hour 5 minutes
On-Demand
Free-Video
MITCBMM

Development of Intelligence - Josh Tenenbaum: Bayesian Inference

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Explore Bayesian inference and cognitive neuroscience with Josh Tenenbaum, delving into AI challenges, scene understanding, and advanced mathematical concepts for intelligence development.
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20 Lesons
1 hour 36 minutes
On-Demand
Free-Video
MITCBMM

Bayesian Inference in Generative Models

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Explore approximate Bayesian inference methods, including sampling-based techniques and variational inference, with hands-on exercises in implementing algorithms and using probabilistic programming languages.
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11 Lesons
50 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Kikuchi Hierarchy and Tensor PCA

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Explores advanced algorithms for tensor PCA, introducing a new hierarchy inspired by Kikuchi free energy to improve belief propagation performance and match sum-of-squares methods.
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13 Lesons
34 minutes
On-Demand
Free-Video
International Mathematical Union

Enhancing Markov Chain Monte Carlo Sampling Methods with Deep Learning

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Explore advanced techniques combining Markov Chain Monte Carlo sampling with deep learning, focusing on importance sampling, normalizing flows, and non-equilibrium methods for enhanced efficiency in high-dimensional problems.
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13 Lesons
46 minutes
On-Demand
Free-Video
Fields Institute

MCMC Training of Bayesian Neural Networks

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Explore Bayesian Neural Networks, MCMC methods, and their applications in machine learning with Prof. Radford Neal. Gain insights into flexible modeling and practical implementations.
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22 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Fields Institute

Data Augmentation MCMC for Bayesian Inference from Privatized Data

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Explore data augmentation MCMC for Bayesian inference from privatized data, focusing on differential privacy challenges and solutions in statistical analysis.
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18 Lesons
28 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Optimal Transport for Inverse Problems and Implicit Regularization

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Exploring optimal transport theory for inverse problems, addressing nonconvexity and noise sensitivity in least-squares methods, with applications in industry and broader data-fitting challenges.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Alan Turing Institute

Bayesian Inference by Program Verification - Joost-Pieter Katoen, RWTH Aachen University

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Explore Bayesian inference through program verification, learning how weakest precondition reasoning can be applied to exact inference and analyzing expected sampling times in Bayesian networks.
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29 Lesons
45 minutes
On-Demand
Free-Video
Alan Turing Institute

Variational Bayesian Approximation of Inverse Problems Using Sparse Precision Matrices

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Explore Variational Bayes as an efficient alternative to MCMC for solving inverse problems in PDEs, using sparse precision matrices and stochastic optimization for improved computational tractability.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Introduction to Probability and Bayesian Inference - Lecture 1

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Explore probability fundamentals and Bayesian inference principles in this comprehensive lecture, laying the groundwork for advanced data assimilation techniques in weather and climate modeling.
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1 Lesons
1 hour 32 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Inference - Lecture 2

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Explore Bayesian inference principles, methods, and applications in data assimilation for weather and climate modeling. Gain insights into uncertainty estimation and practical implementation.
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1 Lesons
1 hour 37 minutes
On-Demand
Free-Video

Statistical Rethinking 2023

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Comprehensive exploration of advanced statistical concepts, from basic models to complex techniques like Gaussian Processes and Generalized Linear Models, enhancing analytical skills for data interpretation.
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20 Lesons
1 day 1 hour 41 minutes
On-Demand
Free-Video
Dublin Institute for Advanced Studies DIAS

Learning Theory-Informed Priors for Bayesian Inference - A Case Study with Early Dark Energy

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Explore novel methods for learning theory-informed priors in Bayesian inference using normalizing flows, with applications to early dark energy models in cosmology.
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1 Lesons
1 hour 32 minutes
On-Demand
Free-Video
Inside Livermore Lab

Data-Driven Closure Modeling Using Derivative-free Kalman Methods

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Explore data-driven closure modeling for complex dynamical systems using derivative-free Kalman methods. Learn to improve predictions in turbulence and cloud dynamics with advanced machine learning techniques.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Bayesian Inference of Dependent Population Dynamics in Coalescent Models

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Explore Bayesian inference techniques for analyzing dependent population dynamics in coalescent models, focusing on applications in genomics and evolutionary biology.
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1 Lesons
37 minutes
On-Demand
Free-Video
Conference GSI

Variational Gaussian Approximation of the Kushner Optimal Filter

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Explore the Variational Gaussian approximation technique for optimizing the Kushner filter, enhancing signal processing and estimation capabilities.
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1 Lesons
19 minutes
On-Demand
Free-Video
The Julia Programming Language

Fast Probabilistic Inference for ODEs with ProbNumDiffEq.jl

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Explore probabilistic ODE solvers with ProbNumDiffEq.jl. Learn Bayesian inference for numerical problems, implementation details, and future prospects in the Julia ecosystem.
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1 Lesons
28 minutes
On-Demand
Free-Video
Probabilistic AI School

Bayesian Workflow

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Learn Bayesian workflow techniques for probabilistic modeling, including prior specification, model checking, and posterior predictive checks.
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1 Lesons
2 hours 19 minutes
On-Demand
Free-Video
Probabilistic AI School

Monte Carlo Methods

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Explore Monte Carlo methods for probabilistic AI, covering key concepts and applications in this comprehensive tutorial from ProbAI 2024.
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1 Lesons
2 hours 26 minutes
On-Demand
Free-Video
Probabilistic AI School

SDEs Are All You Need for Latent Variable Models

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Explore stochastic differential equations for latent variable models, focusing on applications in probabilistic AI and machine learning.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Probabilistic AI School

Bayesian Workflow

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Learn Bayesian workflow techniques for probabilistic modeling, from problem formulation to model evaluation and iteration, enhancing your data analysis skills.
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1 Lesons
2 hours 4 minutes
On-Demand
Free-Video
BIMSA

Variational Approximations for Bayesian and Semi-Bayesian Inferences

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Explore variational approximations in Bayesian inference, focusing on group-variable selection and heteroscedastic Gaussian processes. Learn efficient parameter estimation and process forecasting techniques.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Automated Scalable Bayesian Inference via Data Summarization - 2018

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Explore scalable Bayesian inference techniques using data summarization. Learn about coresets, theoretical guarantees, and practical applications in large-scale data settings.
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11 Lesons
59 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

A Bayesian View of Inductive Learning in Humans and Machines - 2004

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Explore how humans make successful generalizations from limited evidence through Bayesian inferences constrained by implicit domain theories, with applications to machine learning.
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1 Lesons
1 hour 26 minutes
On-Demand
Free-Video
AI Institute at UofSC - #AIISC

The Signal and the Noise by Nate Silver - Part 2

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Explore Nate Silver's insights on data analysis and prediction in "The Signal and the Noise" through an expert review of key concepts and applications.
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1 Lesons
23 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Bayesian Inference of Causal Graphs: Current Status and Future Directions

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Explore Bayesian inference for causal discovery, examining recent progress, challenges, and assumptions in modeling cause-effect relationships from observational data.
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1 Lesons
48 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

UAI 2023 Poster Spotlights - Advanced Topics in Uncertainty and AI

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Explore cutting-edge research in uncertainty and AI, covering topics from point processes and GNN spatial convolutions to variational inference and Bayesian approaches in reinforcement learning.
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1 Lesons
17 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Statistical Physics and Statistical Inference - Lecture 2

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Explore statistical physics and inference, covering Bayesian methods, error correction, spin glasses, and advanced algorithms like belief propagation. Gain insights into phase transitions and applications in machine learning.
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47 Lesons
1 hour 43 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Gravitational Wave Parameter Estimation with Compressed Likelihood Evaluations

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Explore advanced techniques for efficient gravitational wave parameter estimation, focusing on Reduced Order Quadratures (ROQs) to accelerate likelihood evaluations and improve Bayesian inference in GW astronomy.
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26 Lesons
42 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Field-Level Inference with Weak Lensing Data by Supranta Boruah

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Explore Bayesian field-level inference techniques for weak lensing data analysis in cosmology. Learn advanced methods to extract valuable information from large-scale structure surveys.
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1 Lesons
28 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Challenge of Characterising High-Mass Compact Mergers - The Case of GW190521

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Explores challenges in analyzing gravitational waves from massive binary mergers, focusing on GW190521. Discusses Bayesian inference, prior choices, and alternative interpretations like eccentric mergers or exotic objects.
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1 Lesons
37 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Decision Making and Learning in the Life Sciences - Lecture 2

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Explore decision-making and learning in life sciences, focusing on advanced concepts and their applications in biological systems and research.
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1 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Alan Turing Institute

Learning Battery Physics from Images

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Explore advanced techniques for extracting battery physics from synchrotron imaging data, combining electrochemical models with PDE-constrained optimization and Bayesian inference to uncover hidden information.
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1 Lesons
52 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Application of Particle Filters on Data Assimilation

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Explore particle filters in data assimilation, a powerful technique for integrating observations and forecasts to estimate atmospheric states and uncertainties in weather and climate modeling.
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1 Lesons
1 hour 26 minutes
On-Demand
Free-Video
Discover AI

Google's Dual-Agent AI Architecture: Thinking Fast and Slow

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Explore Google's innovative dual-agent AI system that combines fast, intuitive responses with deep, deliberate reasoning for enhanced human-AI interactions and complex problem-solving.
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7 Lesons
22 minutes
On-Demand
Free-Video
ACM SIGPLAN

Bayesian Inference Using Probabilistic Programming

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Explore Bayesian inference techniques and probabilistic programming concepts with expert insights from Hong Ge at LAFI'24.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Alan Turing Institute

Formal Verification and Learning of Complex Systems - Professor Alessandro Abate

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Exploring formal verification techniques for complex systems, combining model-based and data-driven methods to address scalability issues and provide system-level assertions in Cyber-Physical Systems.
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18 Lesons
43 minutes
On-Demand
Free-Video
Open Data Science

The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3

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Explore Bayesian statistical computation and Hamiltonian Monte Carlo algorithms using PyMC3, an open-source probabilistic programming package. Learn to apply these advanced techniques to complex models in Python.
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37 Lesons
43 minutes
On-Demand
Free-Video
Simons Institute

Dreamcoder- Bootstrapping Inductive Program Synthesis With Wake-Sleep Library Learning

0 rewiews
Explore program induction and library learning in AI, focusing on DreamCoder's approach to synthesizing models and systems through neural-guided Bayesian inference and abstraction refinement.
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22 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

Computation in Very Wide Neural Networks

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Explore infinite-width neural networks, their correspondence to Gaussian processes, and implications for deep learning performance and dynamics in parameter space.
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19 Lesons
49 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Methods for Scalable Probabilistic Inference - IPAM at UCLA

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Explore scalable probabilistic inference methods for astrophysics, focusing on Gaussian Processes for time series analysis and open-source tools to accelerate Bayesian inference with large datasets.
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33 Lesons
46 minutes
On-Demand
Free-Video
MITCBMM

Learning What We Know and Knowing What We Learn - Gaussian Process Priors for Neural Data Analysis

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Explore Gaussian process priors for neural data analysis, covering latent variable models, Bayesian inference, covariance kernels, and factor analysis. Gain insights into advanced techniques for understanding complex neural datasets.
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17 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Simons Institute

Data is as Data Does - The Influence of Computation on Inference

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Exploring the impact of computational approximations on probabilistic models in machine learning, with focus on Gaussian Process approximations and their applications in neurobiology.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Manolis Kellis

Expression Analysis, Clustering, and Classification in Machine Learning - Lecture 2

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Comprehensive exploration of machine learning concepts, from basic principles to advanced techniques, with applications in gene expression analysis and text clustering.
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13 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Yacine Mahdid

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

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Explore in-context learning in LLMs: definition, significance, Bayesian framework, and implementation. Gain insights into this surprising capability of language models and its implications for AI.
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6 Lesons
12 minutes
On-Demand
Free-Video
Conf42

Probabilistic Programming in Python - Conf42 Python 2024

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Explore Bayesian statistics, probabilistic modeling, and MCMC in Python. Learn key concepts and practical applications through demonstrations and workflow explanations.
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11 Lesons
14 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Detecting Discriminatory Risk through Data Annotation Based on Bayesian Inferences

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Explore Bayesian inference techniques for detecting discriminatory risk in data annotation, enhancing fairness and accountability in machine learning systems.
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1 Lesons
21 minutes
On-Demand
Free-Video
EuroPython Conference

PyAutoFit - A Classy Probabilistic Programming Language For Data Science

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Explore Bayesian inference with PyAutoFit, a probabilistic programming language for data science. Learn core features, model composition, and advanced tools for big data analysis and parallel computing.
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16 Lesons
29 minutes
On-Demand
Free-Video
Models of Consciousness Conferences

Free Energy Minimisation for Perception as Inference

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Explores predictive processing theory and free energy principle in perception, comparing Helmholtz machine and message passing approaches to neural inference and consciousness.
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1 Lesons
22 minutes
On-Demand
Free-Video
TED

What Do Babies Think?

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Explore the sophisticated intelligence of babies and young children through play, revealing their advanced cognitive abilities and decision-making processes.
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7 Lesons
19 minutes
On-Demand
Free-Video
Data Science Festival

An Introduction to Forecasting Using Orbit

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Explore Orbit, a probabilistic forecasting tool developed by Uber, and learn its application in demand forecasting for technical support teams through a practical case study.
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1 Lesons
21 minutes
On-Demand
Free-Video
Conference GSI

Deformed Evidence Lower Bound (λ-ELBO) Using Rényi and Tsallis Divergence

0 rewiews
Explore advanced variational inference techniques using Rényi and Tsallis divergences to optimize the Deformed Evidence Lower Bound (λ-ELBO) for improved probabilistic modeling.
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1 Lesons
18 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Gaussian Process Regression

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Explore non-linear regression techniques, focusing on Gaussian Process Regression, basis functions, and systems. Gain insights into GP priors for advanced statistical modeling.
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1 Lesons
19 minutes
On-Demand
Free-Video
The Julia Programming Language

Combined Stochastic Models for Cancer Patient Trajectories

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Integrating diverse clinical data into a unified stochastic model for cancer patient trajectories, combining tumor growth, metastasis, and survival data using Julia for simulation and Bayesian inference.
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1 Lesons
24 minutes
On-Demand
Free-Video
Models of Consciousness Conferences

A Deep Computational Phenomenology of MPE as Metacognitive Free Energy Optimization

0 rewiews
Explore the computational modeling of minimal phenomenal experience through Bayesian mechanics and free energy principles, examining belief dynamics and metacognitive processes.
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1 Lesons
30 minutes
On-Demand
Free-Video
Data Science Conference

Machine-Brain Intelligence in Brain-Computer Interfaces - Understanding Neural Networks and Human Learning

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Explore the symbiotic relationship between neural networks and brain-computer interfaces, discovering how machine and human learning combine to extend neural control to external devices.
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28 Lesons
36 minutes
On-Demand
Free-Video
Inside Livermore Lab

Derivative-Informed Neural Operators for Solving PDE-Governed Optimization Problems

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Explore novel machine learning for solving optimization problems with PDEs, featuring derivative-informed neural operators for efficient, scalable solutions in high-dimensional parameter spaces.
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1 Lesons
56 minutes
On-Demand
Free-Video
Inside Livermore Lab

How Could We Design Aligned and Provably Safe AI?

0 rewiews
Explore AI safety with Dr. Yoshua Bengio, focusing on run-time risk evaluation and Bayesian approaches to mitigate potential harm from advanced AI systems.
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1 Lesons
44 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Large Neural Nets for Amortized Probabilistic Inference in Highly Multimodal Distributions

0 rewiews
Explore amortized probabilistic inference using large neural networks for complex distributions. Learn about GFlowNets and their potential to improve AI systems with Bayesian and causal understanding.
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1 Lesons
33 minutes
On-Demand
Free-Video
Centrum Fizyki Teoretycznej PAN

Quantum Sensors Operated in Real Time

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Explore quantum sensors' real-time applications, from gravitational-wave detection to brain magnetic field tracking. Learn about enhancing sensitivity through non-classical correlations and measurement-based feedback techniques.
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1 Lesons
49 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Fast and Accurate Probabilistic Time Series Classification

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Explore fast and accurate probabilistic time series classification using MINIROCKET technology, achieving near-state-of-the-art performance with significantly reduced computational costs compared to existing methods.
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1 Lesons
47 minutes
On-Demand
Free-Video
Generative Memory Lab

Diffusion Models for Inverse Problems

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Explore advanced techniques for solving inverse problems using diffusion models, focusing on posterior sampling and manifold constraints.
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1 Lesons
42 minutes
On-Demand
Free-Video
Generative Memory Lab

Diffusion Models as Plug-and-Play Priors

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Explore diffusion models as versatile priors for various tasks, enhancing image processing and generation capabilities.
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1 Lesons
41 minutes
On-Demand
Free-Video
Probabilistic AI School

Variational Inference and Optimization - Lecture 3

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Explore advanced variational inference and optimization techniques for probabilistic AI, focusing on cutting-edge methods and practical applications.
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1 Lesons
45 minutes
On-Demand
Free-Video
Probabilistic AI School

Probabilistic Machine Learning in Bioinformatics

0 rewiews
Explore probabilistic machine learning applications in bioinformatics, focusing on cutting-edge techniques and their impact on biological data analysis.
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1 Lesons
59 minutes
On-Demand
Free-Video
The Julia Programming Language

What's New with Turing.jl and Its Ecosystem

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Explore updates to Turing.jl, a probabilistic programming framework in Julia for Bayesian inference, and its expanding ecosystem of modular packages for enhanced usability and extensibility.
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1 Lesons
32 minutes
On-Demand
Free-Video
VinAI

Recent Progress on Grokking and Probabilistic Federated Learning

0 rewiews
Explore recent advancements in grokking phenomenon and probabilistic federated learning. Gain insights into neural networks, Gaussian processes, and Bayesian inference for machine learning applications.
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1 Lesons
1 hour
On-Demand
Free-Video
Neurosymbolic Programming for Science

Probabilistic Programming Tutorial - Part 2

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Explore advanced concepts in probabilistic programming, focusing on practical applications and techniques for scientific computing and data analysis.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
ICTP-SAIFR

Bayesian Tools for the Information Frontier at the LHC

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Explore Bayesian machine learning tools and their applications in LHC particle physics research, focusing on information frontier analysis and scientific discovery methods.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Inside Livermore Lab

Probabilistic Methods for Data-Driven Reduced-Order Modeling

0 rewiews
Explore probabilistic methods for data-driven reduced-order modeling, including Gaussian process regression, deep kernel learning, and Bayesian reduced-order operator inference for efficient multi-query simulations and digital twinning.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Inside Livermore Lab

WEAVE: Building Complex HPC Workflows - Tutorials 2024

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Explore WEAVE's integrated tools for building complex HPC workflows, enhancing productivity and scientific quality through common infrastructure and tool integration.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Neurosymbolic Programming for Science

Probabilistic Programming Tutorial - Part 1

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Explore probabilistic programming fundamentals and applications with MIT expert Vikash Mansinghka in this comprehensive tutorial.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
VinAI

Learning and Amortized Inference in Probabilistic Programs

0 rewiews
Explore probabilistic programming, amortized inference, and novel learning methods like reweighted wake-sleep and thermodynamic variational objective for efficient Bayesian inference in complex models.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Probabilistic AI School

Probabilistic Modeling and Programming Tutorial - Lecture 1

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Explore probabilistic modeling and programming techniques with expert guidance, enhancing your AI and machine learning skills through hands-on tutorials and practical examples.
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1 Lesons
1 hour 48 minutes
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Probabilistic AI School

Gaussian Processes

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Explore Gaussian Processes with Daniel Hernández-Lobato, covering key concepts, applications, and advanced techniques in probabilistic machine learning.
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2 hours 22 minutes
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Fields Institute

Practical Parameter Identifiability and Handling of Censored Data with Bayesian Inference in Models of Tumour Growth

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Explore Bayesian inference techniques for tumor growth modeling, focusing on parameter identification and censored data analysis in mathematical oncology research.
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24 minutes
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