Tools for analysis of nuclear magnetic resonance (NMR) spectra using the Wasserstein metric.

Bisimulation Critic for Reinforcement Learning

Thesis for bachelor's degree in mathematical engineering @ PoliMi, tackling the problem of clustering probability measures in the Wasserstein space

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

Optimal transport algorithms for Julia

Wasserstein GAN (WGAN) is a variant of the traditional Generative Adversarial Network (GAN) that aims to improve training stability and address issues like mode collapse.

Open-set detection using Wasserstein Distance and Spectral Normalisation

PyTorch implementation of slicing adversarial network (SAN)

This repository has code for the paper Bayesian prior impact assessment for dynamical systems described by ordinary differential equations

A Graph Optimal Transport Python Package

Interpretable cross-lingual document ranking using a multilingual language model and regularized Earth Mover's Distance

Code of numerical experiments in Master's thesis [TBD]

The project containing the source code and experiment scripts for the OPWScore metric

Data for magnetstein paper & webservice. For more info see: https://github.com/BDomzal/magnetstein.

The Wasserstein distance-based news Article Clustering algorithm

Computational optimal transport

Optimization of Stochastic Differential Equation Solver for Particle Data Set Generation using Fast Point Cloud Diffusion (FPCD) model.

Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)

Persistence Diagrams in Julia