Name: Spring Workshop on Physics of Data
Start: 2022-04-06T09:00:00+02:00
End: 2022-04-08T19:00:00+02:00
Location: Istituto Veneto di Scienze Lettere ed Arti, Venezia

A new tool on the workbench: studying GW progenitors with SEVN (in session "Astrophysics and Cosmology")

Artificial Intelligence and Quantum Computing for High Energy Physics: examples from CERN Openlab (in session "Fundamental Physics")

Computational modeling of information encoding in the primary visual cortex (in session "Complex/Biological Systems")

Conclusions (in session "Fundamental Physics")

D-Wave as a generator of structural models for prototypical problems in materials science (in session "Physics of Matter / Quantum")

Data Challenges in “Gravitational-Wave Paleontology” (in session "Astrophysics and Cosmology")

Data science for fundamental physics at the Large Hadron Collider (in session "Fundamental Physics")

Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data (in session "Machine Learning, Data Science & Interdisciplinary applications")

Gravitational Waves and Machine Learning (in session "Astrophysics and Cosmology")

How contact pattern influence epidemic outbreaks (in session "Complex/Biological Systems")

Knot classification in polymers through deep learning (in session "Complex/Biological Systems")

Language-dependent model-based deep reinforcement learning (in session "Machine Learning, Data Science & Interdisciplinary applications")

Model-independent search for New Physics at the LHC (in session "Fundamental Physics")

Physics of data for social impact (in session "Machine Learning, Data Science & Interdisciplinary applications")

Predicting solar activiy (in session "Astrophysics and Cosmology")

Pulsars spin-up: a semi-analytical approach (in session "Astrophysics and Cosmology")

Question answering in the medical field (in session "Physics of Matter / Quantum")

Registration

Rethinking classical optimization in the age of quantum computers (in session "Physics of Matter / Quantum")

Rethinking the Geometry of Machine Learning: “Physics of Data” Five Years Later (in session "Machine Learning, Data Science & Interdisciplinary applications")

TBD (in session "Physics of Matter / Quantum")

Timescales of neural activity, their inference and relevance. (in session "Machine Learning, Data Science & Interdisciplinary applications")

Unraveling the mechanism of ice nucleation through rare events sampling and free energy calculations (in session "Complex/Biological Systems")

Welcome and Introduction to the workshop

What is typical in microbial communities? (in session "Complex/Biological Systems")

Spring Workshop on Physics of Data

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