Learning and generation by random sampling

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Program

Lecture

09:30 - 11:00

Sampling with auxiliary distributions : from teleportation to Markov chain importance sampling

Randal Douc

28 Feb 2024

Learning and generation by random sampling

Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot

Metropolis-Hasting algorithm

Stéphane Mallat

06 Mar 2024

Learning and generation by random sampling

Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot

Approximate Bayesian calculation methods (ABC)

Christian Robert

06 Mar 2024

Learning and generation by random sampling

Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot

Diffusion score sampling

Stéphane Mallat

13 Mar 2024

Learning and generation by random sampling

Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot

An Alternative View of Denoising Diffusion Models

Francis Bach

13 Mar 2024

Learning and generation by random sampling

Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot

13 Mar 2024

11:15 - 12:30

Learning and generation by random sampling

Documents and media

Program

Modeling and sampling

Data Challenges 2024 (1)

Monte Carlo method

Data Challenges 2024 (2)

Markov field models

Presentations of the 2023 challenge winners

Parameter learning by Kullback-Leibler divergence

Generative models for the simulation of equilibrium systems

Score-based parameter learning

Causal model learning from data

Sampling

Sampling with auxiliary distributions : from teleportation to Markov chain importance sampling

Metropolis-Hasting algorithm

Approximate Bayesian calculation methods (ABC)

Diffusion score sampling

An Alternative View of Denoising Diffusion Models

See also