Tidlegare arrangement - Side 86

Tittel: Advancements in Risk-Free Reference Rates and ESG-linked interest rate swaps

Tittel: Brownske bevegelser på fraktale strukturer

Tittel: Portfolio optimisation in exponential Lévy markets

Tittel: Å maksimere utbyttet av en ressurs

Tittel: Matroid invariants from Schubert calculus

"Physics-Informed Neural Networks for Radiative Transfer in the Solar Atmosphere"

Many have tried to adapt Clemens and Griffiths's approach to irrationality of cubic threefolds to higher dimensions, using different invariants in place of H^3(X,Z): the transcendental part of H^4, derived categories, quantum cohomology... I will report on my attempt to use higher algebraic K-theory, which turns out to be strictly weaker than what Voisin and Colliot-Thélène have already gotten from Bloch-Ogus theory, but (I think) in an interesting way. For a positive result, I can show that the higher K-theory of Kuznetsov's K3 category for a cubic or Gushel-Mukai 4-fold looks the same as that of an honest K3 surface.

"Machine Learning Methods Applied to Autocorrelation Vectors Generated from the Vaska’s Space Dataset"

"Cosmological parameter estimation methods for modern end-to-end analysis"

Constrained folding dynamics: a generalized model for labyrinth pattern development

"Exploring the cold and dense circumgalactic medium of BX610"

This is a half-day online workshop on PDEs in physical systems. Abstracts and Zoom link can be found here!

Tittel: Quantum Information, Twirling and Representation Theory

Tittel:  Graph Theory and Decompositons

Velkommen til formidlingsfest på Kulturhuset!

This talk will focus on recent work about the sequential detection of anomalies within partially observed functional data, motivated by a problem encountered by an industrial collaborator. Classical sequential changepoint detection approaches look for changes in the parameters, or structure, of a data sequence and are not equipped to handle the complex non-stationarity and dependency structure of functional data. Conversely, existing functional data approaches require the full observation of the curve before anomaly detection can take place. We propose a new method, FAST, that performs sequential detection of anomalies in partially observed functional data. This talk will introduce the approach, and some associated theoretical results, and highlight its application on telecommunications data.

This is joint work with Idris Eckley and Lawrence Bardwell.

Tittel: Mixed Integer Linear Programming Formulations For A Resource Constrained Project Scheduling Problem Comparisons And New Approaches

Deployment of semi-unsupervised learning in the search for new physics at the LHC with the ATLAS detector

I will show you who are the members of the Physics Education research group of the University of Bologna. Moreover, I will tell you about the projects in which we are involved now and all the past significnt projects that have helped to strengthen the direction and current identity of the group. Also I will indicate what are the main publications that have been made in these years.

All this will be done through the eyes and the narrative of a PhD student part of UNIBO research group. I have not certainly the presumption to know exactly (after two years) how to orient myself in all the rich and multi-dimensional research activities of my group.  But I will try to make you perceive the great commitment, thoughts and enthusiasm that I see every day in the challenging but wonderful research activity in Bologna.

Application of Supervised Machine Learning to the Search for New Physics in ATLAS data

"Searching for stellar emission in the sub-THz bands"

Tittel: Strukturen til Dobbelt Stokastiske Matriser

The Numerical Methods in Quantum Chemistry workshop will take place June 5-8 2023 in Tromsø.

Hylleraas seminar, hosted in Tromsø