ema-marconato

dis_align_leak

disent

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

glancenet

Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models

IMA

Code for the paper: "Independent mechanism analysis, a new concept?"

ml_lab

Official repository for the lab sessions of the course of Machine Learning, taught by Prof. Andrea Passerini

NeSy-CL

Codebase for Neuro-Symbolic Continual Learning.

NeSy-without-Shortcuts

Code for the paper "Learning with Logical Constraints but without Shortcut Satisfaction"

Neural_Nets_Project

Object-and-Semantic-Part-Detection-pyTorch

Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset

reasoning-shortcuts

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

ema-marconato/glancenet

Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models

ema-marconato/NeSy-CL

Codebase for Neuro-Symbolic Continual Learning.

ema-marconato/reasoning-shortcuts

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

ema-marconato/ml_lab

Official repository for the lab sessions of the course of Machine Learning, taught by Prof. Andrea Passerini

ema-marconato/disent

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

ema-marconato/NeSy-without-Shortcuts

Code for the paper "Learning with Logical Constraints but without Shortcut Satisfaction"

ema-marconato/dis_align_leak

ema-marconato/IMA

Code for the paper: "Independent mechanism analysis, a new concept?"

ema-marconato/Neural_Nets_Project

ema-marconato/Object-and-Semantic-Part-Detection-pyTorch

Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset

ema-marconato/RBMs

I implemented a training procedure from scratch of some Restricted Boltzmann Machines. They have been used to fit the probabilistic structure of the 2D-Ising model for fixed temperature.

ema-marconato/tensornetwork.org

Source for The Tensor Network open-source review article

ema-marconato/VAEL

Codebase for Bridging Variational Autoencoders and Probabilistic Logic Programming