Alessandro Barp

Orcid: 0000-0003-1805-8617

According to our database1, Alessandro Barp authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Deep Learning as Ricci Flow.
CoRR, 2024

2023
Metrizing Weak Convergence with Maximum Mean Discrepancies.
J. Mach. Learn. Res., 2023

Improving embedding of graphs with missing data by soft manifolds.
CoRR, 2023

Warped geometric information on the optimisation of Euclidean functions.
CoRR, 2023

Vector-Valued Control Variates.
Proceedings of the International Conference on Machine Learning, 2023

2022
Targeted Separation and Convergence with Kernel Discrepancies.
CoRR, 2022

Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents.
CoRR, 2022

2020
Metrizing Weak Convergence with Maximum Mean Discrepancies.
CoRR, 2020

Geometric Integration of Measure-Preserving Flows for Sampling.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy.
CoRR, 2019

Minimum Stein Discrepancy Estimators.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stein Point Markov Chain Monte Carlo.
Proceedings of the 36th International Conference on Machine Learning, 2019

Hamiltonian Monte Carlo on Lie Groups and Constrained Mechanics on Homogeneous Manifolds.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Irreversible Langevin MCMC on Lie Groups.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2017
Geometry and Dynamics for Markov Chain Monte Carlo.
CoRR, 2017


  Loading...