Besøksadresse
Niels Henrik Abels hus (kart) Moltke Moes vei 350851 OSLO
Tittel:
Can everything be learned?
Recovery of highly sparse images using deep neural networks
Kurset gir studenten kunnskap om vitenskapelighet i matematiske fag, og setter vedkommende i stand til å begynne arbeidet med en masteroppgave. Spesielt sentrale temaer i emnet er litteraturinnhenting, datahåndtering, skriving og presentasjon. Kurset går digitalt torsdag 14.januar 09:15-12:00 og fredag 15.januar 12:15-15:00. Lenke distribueres på e-post.
Tittel:
Importance Measures in Multistate Systems
Applications of generalisations of the Birnbaum-measure
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Tittel:
Irreversible stokastiske investeringsproblemer
Evaluert i diskret tid og rom
Tittel:
Time-robust Optimal and Fair Automated Decisions
Tittel:
Can undersampling boost fraud detection?
Combining undersampling with stochastic gradient boosting for high-dimensional prediction of rare events
Tittel:
Finding the needle in the haystack: Fine-tuning transformers to classify protest events in a sea of news articles, with Bayesian uncertainty measures
Tittel:
Photoemissive charging of the Mercury Magnetospheric Orbiter studied by means of 3D Particle-In-Cell simulations
Tittel:
Scalable Markov Chain Monte Carlo by subsampling methods
Tittel:
Dødlighet ved hoftebrudd
Analyser av kohort og matchet kohort data
Tittel:
Option Pricing with Neural Networks
Tittel:
Modelling Car Insurance Data with Individual Effects
Tittel:
Parallel subsampling MCMC and the Perturbed Subset Parameter Approximation
Tittel:
Optical velocity measurements in the ocean using a remote operated vehicle (ROV)
Tittel:
Isogeny Graphs and Isogeny Volcanoes
Tittel:
Tangent Structure of Non-Commutative Rings
Tittel:
On quantum channels and attractors
Tittel:
Seifert Manifolds as Circle Manifolds
Tittel:
Modeling of Blood Flow in Zebrafish With Cancer
Tittel:
Dynamical Entropy
Tittel:
The Birch Tate conjecture and Somekawa K-theory
Tittel:
Motives of Rigid Varieties
Tittel:
A Number Theoretical Approach to Fermat’s Last Theorem