Picture for Miguel Lazaro-Gredilla

Miguel Lazaro-Gredilla

Model Predictive Simulation Using Structured Graphical Models and Transformers

Add code
Jun 28, 2024
Viaarxiv icon

Schema-learning and rebinding as mechanisms of in-context learning and emergence

Add code
Jun 16, 2023
Viaarxiv icon

Fast exploration and learning of latent graphs with aliased observations

Add code
Mar 21, 2023
Viaarxiv icon

PushWorld: A benchmark for manipulation planning with tools and movable obstacles

Add code
Feb 01, 2023
Viaarxiv icon

Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation

Add code
Jan 31, 2023
Viaarxiv icon

Perturb-and-max-product: Sampling and learning in discrete energy-based models

Add code
Nov 05, 2021
Figure 1 for Perturb-and-max-product: Sampling and learning in discrete energy-based models
Figure 2 for Perturb-and-max-product: Sampling and learning in discrete energy-based models
Figure 3 for Perturb-and-max-product: Sampling and learning in discrete energy-based models
Figure 4 for Perturb-and-max-product: Sampling and learning in discrete energy-based models
Viaarxiv icon

Learning undirected models via query training

Add code
Dec 05, 2019
Figure 1 for Learning undirected models via query training
Figure 2 for Learning undirected models via query training
Figure 3 for Learning undirected models via query training
Viaarxiv icon

Cortical Microcircuits from a Generative Vision Model

Add code
Aug 03, 2018
Figure 1 for Cortical Microcircuits from a Generative Vision Model
Figure 2 for Cortical Microcircuits from a Generative Vision Model
Figure 3 for Cortical Microcircuits from a Generative Vision Model
Figure 4 for Cortical Microcircuits from a Generative Vision Model
Viaarxiv icon

Variational Rejection Sampling

Add code
Apr 05, 2018
Figure 1 for Variational Rejection Sampling
Figure 2 for Variational Rejection Sampling
Figure 3 for Variational Rejection Sampling
Figure 4 for Variational Rejection Sampling
Viaarxiv icon