{"id":38,"date":"2026-01-28T15:27:14","date_gmt":"2026-01-28T15:27:14","guid":{"rendered":"https:\/\/sites.unimi.it\/mathgen\/?page_id=38"},"modified":"2026-06-15T11:50:08","modified_gmt":"2026-06-15T11:50:08","slug":"speakers","status":"publish","type":"page","link":"https:\/\/sites.unimi.it\/mathgen\/speakers\/","title":{"rendered":"Speakers"},"content":{"rendered":"\n

Georgios Arvanitidis, Technical University of Denmark (DTU), website<\/a><\/strong><\/p>\n\n\n\n

Geometric approximate inference for Bayesian neural networks<\/em><\/p>\n\n\n\n

Davide Badalotti, Bocconi University, website<\/a><\/h4>\n\n\n\n

Representation Manifolds in Recurrent Neural Dynamic<\/em><\/p>\n\n\n\n

\n

Lorenzo Baldassari,  University of Basel, website<\/a><\/h4>\n\n\n\n

Annealed Langevin Dynamics for Multimodal Sampling in Infinite Dimensions<\/em><\/p>\n<\/div><\/div>\n\n\n\n

\n

Davide Evangelista, University of Bologna, website<\/a><\/h4>\n\n\n\n

Solving Inverse Problems with Diffusion-Based Posterior Sampling Algorithms<\/em><\/p>\n<\/div><\/div>\n\n\n\n

\n

Simone Gallivanone, Universit\u00e0 di Pavia, website<\/a><\/h4>\n\n\n\n

Attacking and Defending Models: A Mathematical Overview<\/em><\/p>\n<\/div><\/div>\n\n\n\n

\n

Fedor Goncharov, University of Genoa, website<\/a><\/strong><\/p>\n\n\n\n

Functional Autoencoders with Sobolev spaces embeddings<\/em><\/p>\n<\/div><\/div>\n\n\n\n

\n

Johannes Hertrich, Paris Dauphine, website<\/a><\/h4>\n\n\n\n

On the Relation between Rectified Flows and Optimal Transport.<\/em><\/p>\n\n\n\n

Raffaele Marchesi, Fondazione Bruno Kessler<\/strong><\/p>\n\n\n\n

Coherent cross-modal generation of biomedical data.<\/p>\n<\/div><\/div>\n\n\n\n

Elisabetta Rocchetti, Universit\u00e0 degli studi di Milano, website<\/a><\/strong><\/p>\n\n\n\n

Geometric Approaches to Interpretability<\/em><\/p>\n\n\n\n

\n

Nicola Toschi, Universit\u00e0 degli studi di Roma Tor Vergata, website<\/a><\/h4>\n\n\n\n

Emergence of Distortions in High-Dimensional Guided Diffusion Models<\/em><\/p>\n<\/div><\/div>\n\n\n\n

\n

Enrico Ventura, SISSA, website<\/a><\/h4>\n\n\n\n

From Generalization to Memorization: Results & Open Questions in Generative Diffusion.<\/em><\/p>\n<\/div><\/div>\n\n\n\n

\n

Paolo Zunino, Politecnico di Milano, website<\/a><\/h4>\n\n\n\n

Neural networks for dimensionality reduction of numerical approximation for PDEs<\/em><\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Georgios Arvanitidis, Technical University of Denmark (DTU), website Geometric approximate inference for Bayesian neural networks Davide Badalotti, Bocconi University, website Representation Manifolds in Recurrent Neural […]<\/p>\n","protected":false},"author":1,"featured_media":13,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-38","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/pages\/38","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/comments?post=38"}],"version-history":[{"count":22,"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/pages\/38\/revisions"}],"predecessor-version":[{"id":183,"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/pages\/38\/revisions\/183"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/media\/13"}],"wp:attachment":[{"href":"https:\/\/sites.unimi.it\/mathgen\/wp-json\/wp\/v2\/media?parent=38"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}