Talks
Slides from some of the talks, seminars and lectures I have given in recent years.
This is a loose collection of slides, not a complete list of my talks. For papers and conference presentations with proceedings, see the Research page. All slides are in PDF format; some files are large.
2024
- Introduzione sul significato di AI, terminologia e funzionalità, limiti e sviluppi delle applicazioni Aula Magna, Collegio A. Volta, Pavia · in Italian · PDF, 36 MB
2023
- Wasserstein Barycenters: Models and Algorithms Odense · 11 July 2023 · PDF, 11 MB
- Computational Optimization Research Group Presentation of the research group to master’s students · May 2023 · in Italian · PDF, 17 MB
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Lecture series on optimization for deep learning
Spring 2023
- Optimization for Deep Learning: Basic Principles and Practical Sessions (PDF, 51 MB)
- Training Neural Networks (PDF, 2 MB)
- Computational Optimal Transport: A (biased) Overview (PDF, 4 MB)
- Generative Adversarial Networks: The man with no name (PDF, 8 MB)
- Wasserstein Generative Adversarial Networks: What does it mean to learn a probability distribution? (PDF, 6 MB)
2022
- Efficient Computation of Approximate Kantorovich–Wasserstein Distances for Large Spatial Maps With F. Ricciato · Eurostat · 14 December 2022 · PDF, 10 MB
- Primal Parallel Heuristics for Computing Wasserstein Barycenters Online seminar, Gaoling School of Artificial Intelligence, Renmin University of China · 9 November 2022 · PDF, 8 MB
- OR for Policy Evaluation: Evaluating Public Transport by Multimodal Schedule-Based Routing EWG-POR online seminar · 9 September 2022 · PDF, 39 MB
- Deep Learning for Medical Images: An Appetizer September 2022 · PDF, 30 MB
- Computing Wasserstein Barycenters: The Role of Linear Programming Online seminar, UMI Group on AI & ML · 10 June 2022 · PDF, 8 MB
- Computational Optimization Research Group Presentation of the research group to master’s students · May 2022 · in Italian · PDF, 17 MB
2021
- Computing Wasserstein Barycenters: The Role of Linear Programming Online seminar, MAI Division, Zuse Institute Berlin · 15 December 2021 · PDF, 8 MB
- Math and Images: Having Fun with Your Own Image Filter Open Day · December 2021 · PDF, 17 MB
- Linear Programming by First-Order Methods November 2021 · PDF, 3 MB
- (Some) Facets of the Total Matching Polytope With L. Ferrarini · September 2021 · PDF, 1 MB
- Discrete Optimal Transport by Parallel Network Simplex IPAM workshop “Deep Learning and Combinatorial Optimization” · 25 February 2021 · PDF, 11 MB
2020
- Machine Learning for Radiomics February 2020 · PDF, 22 MB
- A Note on a GPU-Based Network Simplex Algorithm With L.-M. Rousseau · Combinatorial Optimization Workshop, Aussois · January 2020 · PDF, 59 MB