Tidlegare arrangement - Side 58

Tid og stad: , Pollen 3203

Biology of Coastal European Eel (Anguilla anguilla) in Norway: Growth Analysis and Temporal Variation in Abundance

Tid og stad: , Peisestua 304, Svein Rosselands hus

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

Tid og stad: , Seminar room 102 (Mellomrommet), Geology building

Mapping Flood Inundation Using Sentinel 1 and Sentinel 2 Data and the Google Earth Cloud Processing Platform

Tid og stad: , NHA B1120

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.

Tid og stad: , Room Bruun, Kantina, Meterologisk Institutt, Henrik Mohns Plass 1

Title: Environmental changes from glacier ice cores

Speaker: Margit Schwikowski, Paul Scherrer Institut

Tid og stad: , Room 2320 Kristine Bonnevies hus

Title: Offshore wind: Is power production limited by the atmospheric energy input?

Speaker: Ole Anders Nøst, Oceanbox

Tid og stad: , Greenhouse

This week we discuss Gudmunds et al on TREE.

https://www.sciencedirect.com/science/article/pii/S0169534722001689?via%3Dihub

[new] Time and place: Jun 8th, 2023 12 PM – 1 PM, Greenhouse, 3215

Tid og stad: , dScience Lounge Area

Welcome to our weekly lunch seminar held in the dScience lounge area! This event is open to PhD candidates and postdocs.

Tid og stad: , Auditorium 4, Kjemisk institutt

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

Tid og stad: , Peisestua 304, Svein Rosselands hus

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

Tid og stad: , SINTEF, room E484 Tårnsalen
Tid og stad: , Lille fysiske auditorium, Fysikkbygningen

Signalanalyse av strålingsrespons i EPR- og TL-dosimetermaterialer

Tid og stad: , Meeting room 317, Geology building

Optical Remote Sensing of Glacier Surges in Svalbard

Tid og stad: , Celsius

Constrained folding dynamics: a generalized model for labyrinth pattern development

Tid og stad: , Theory common area (4th floor, east wing)

Tomás Gonzalo, Karlsruhe Institute of Technology

Weekly Theory Seminar.

Tid og stad: , Meeting room k43 (Bifrost), Geology building

An Extended Fully-Implicit Hybrid Model for Geological CO2 Storage

Translational regulation by a 4E-binding protein paradigm

Tid og stad: , Peisestua 304, Svein Rosselands hus

"Exploring the cold and dense circumgalactic medium of BX610"

Tid:

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

Tid og stad: , Lille fysiske auditorium, Fysikkbygningen

Non-Hermitian Quantum Mechanics: On the role of PT-Symmetry and Exceptional Points

Tid og stad: , Undervisningsrom 107

Tittel: Quantum Information, Twirling and Representation Theory

 

 

Tid og stad: , Niels Henrik Abels hus, rom 819

Tittel:  Graph Theory and Decompositons

 

 

Tid og stad: , Kulturhuset

Velkommen til formidlingsfest på Kulturhuset!

Tid og stad: , Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor

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.

Tid og stad: , Greenhouse / 3215

Late Lunch Talk by Emily Enevoldsen