Schedule – Workshop on Geometry and Machine Learning

DATE	TIME	ACTIVITY
Mon, Jul 11	08:30–09:30	Registration & Opening Remarks
	09:30–10:30	Keynote 1 (Nickel) Representation Learning and Generative Modeling on Manifolds [abstract]
	10:30–11:00	Coffee Break
	11:00–12:30	Tutorial 1 (Guigui) Introduction to Geometric Statistics with Geomstats I [abstract]
	12:30–12:40	Conference Photo
	12:40–14:00	Lunch
	14:00–14:40	Talk 1 (Pozzetti) Graph Embeddings in Symmetric Spaces [abstract]
	14:40–15:00	Coffee Break
	15:00–15:40	Talk 2 (de Haan) Gauge Equivariant Mesh Convolutional Neural Networks [abstract]
	15:40–16:00	Coffee Break
Tue, Jul 12	09:30–10:30	Keynote 2 (Pennec) Geometric Statistics for Computational Anatomy [abstract]
	10:30–11:00	Coffee Break
	11:00–12:30	Tutorial 2 (Kochurov) Hyperbolic Manifolds in Deep Learning I [abstract]
	12:30–14:00	Lunch
	14:00–14:40	Talk 3 (Ommer) Deep Metric and Representation Learning [abstract]
	14:40–15:00	Coffee Break
	15:00–15:40	Talk 4 (Bekkers) Geometric and Physical Quantities improve E(3) Equivariant Message Passing [abstract]
	15:40–16:00	Coffee Break
	17:30–20:00	Conference Dinner
Wed, Jul 13	09:30–10:30	Keynote 3 (Rodolà) From Sound to Metric Priors: A New Paradigm for Shape Generation [abstract]
	10:30–11:00	Coffee Break
	11:00–11:40	Talk 5 (Kratsios) Embedding Guarantees for Representations by Small Probabilistic Graph Transformers [abstract]
	11:40–13:00	Lunch
	13:00–14:30	Practical Tutorial 1 (Guigui) Introduction to Geometric Statistics with Geomstats II [abstract]
	14:30–15:00	Coffee Break
	15:00–16:30	Practical Tutorial 2 (Kochurov) Hyperbolic Manifolds in Deep Learning II [abstract]