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Tidligere arrangementer - Side 8

Tid og sted: , NHA B1119

In 2008, looking to bound the face vectors of tropical linear spaces, Speyer introduced the g-invariant of a matroid. He proved its coefficients nonnegative for matroids representable in characteristic zero and conjectured this in general. Later, Shaw and Speyer and I reduced the question to positivity of the top coefficient. This talk will overview work being written up with Andy Berget (Western Washington) that proves the conjecture. The first half will be introductory, aiming to define the g-invariant, state the theorem, and compare to other recent work in matroid theory. The second half will look at the proof techniques.

Geometrically, the main ingredient in the proof is a Kempf collapsing constructed from the matroid tautological vector bundles of Berget--Eur--Spink--Tseng, and an initial degeneration thereof. Combinatorially, it is an extension of the definition of external activity to a pair of matroids and a way to compute it using the fan displacement rule on tropical Chern classes. The work of Ardila and Boocher on the closure of a linear space in (P^1)^n is a special case.
 

Tid og sted: , Eilert Sundts hus, A-blokka Foyer

Don't miss out on this year's MA exhibit, where students at SAI show off various creative projects related to their MA projects.

Tid og sted: , Room 1249 at Eilert Sundts Hus

Department seminar. Sarah Auster is a Professor at the Institute for Microeconomics, University of Bonn. She will be presenting the paper "A Theory of Choice Overload" (written with Yeon-Koo Che). 

Tid og sted: , Gaustadalléen 30D, rom 420 (4. etasje)

Nettverk for maskulinitetsforskning inviterer sine medlemmer til et seminar om gutter, maskulinitet og politikk i dagens Norge. 

Tid og sted: , GM 452

Halfdan Martin Baadsvik (Universitetet i Oslo)

Tid og sted: , Forum, Oslo Science Park

The invited speaker is Samuli Ripatti, Director of the Institute for Molecular Medicine Finland (FIMM), HiLIFE, Professor of Biometry at the Faculty of Medicine, University of Helsinki. The title of his talk is: "Strategies for turning genetic discoveries into clinical and societal action".

Tid og sted: , P.A. Munchs hus, seminarrom 14

Lecture with award winning poet Iryna Shuvalova about Ukrainian contemporary poetry.

Tid og sted: , NHA B1120
Tid og sted: , Room 1249 at Eilert Sundts Hus

Department seminar. Hans Holter is a Researcher at the Department of Economics, University of Oslo, and an Assistant Professor at the Department of Economics, University of Delaware. He will present the paper "Taxation and Entrepreneurship in the United States."

Tid og sted: , Henrik Wergelands hus 421

Arun Prakash Singh, who is a Marie Curie Researcher on the Hindi-BabNet project, will present his ongoing work on vowel-based acoustic measures in Adult-Directed Speech (ADS) and Infant-Directed Speech (IDS), the aim being to clarify how vowel characteristics across the two registers ADS and IDS and two languages (Norwegian and Danish) influence generalization. 

Tid og sted: , Eilert Sundts, A-blokka, Auditorium 3

Join us for the book launch of the edited volume A Comparative Historical and Typological Approach to the Middle Eastern State System

Tid og sted: , Peisestua (room 304), Svein Rosselands Hus

Ada Ortiz-Carbonell, Expert Analytics AS and European Solar Telescope Canarian Foundation.

Tid og sted: , NHA B1119

Based on J. Kollár and C. Voisin. Flat pushforwards of Chern classes and the smoothability of cycles below the middle dimension. Ann. of Math. (2), 200(2):771–797, 2024.

Tid og sted: , NHA UE26

QOMBINE seminar by Timo Hillmann (Chalmers)

Tid og sted: , Room 1249 at Eilert Sundts Hus

Department seminar. Torfinn Harding is a Professor of Economics at the University of Stavanger Business School. He will be presenting the paper "Quantifying supply-side climate policies" (written with Lassi Ahlvik, J?rgen Juel Andersen, and Jonas Hveding Hamang).

Tid og sted: , Gryte, Storgata 36C
Tid og sted: , Eilert Sundts hus, ninth floor, room 929

The Departmental Seminar Series features research fellow Andrew Graan, Helsinki Collegium for Advanced Studies, University of Helsinki. 

Tid og sted: , M?terom 536, HW

Til h?stens siste litter?re instituttseminar, vil professor Hans Kristian Strandstuen Rustad legge frem argumentasjon for at lyrikk prim?rt og fundamentalt er en hendelse.

Tid og sted: , Centre for Development and the Environment, Sandakerveien 130

Join us for this seminar with Christian Fuentes from Lund University about how digital services can enable circular consumption.

Tid:

Leiv R?nneberg is a DSTrain Postdoctoral Fellow at the Department of Mathematics and affiliated with The Norwegian Centre for Knowledge-driven Machine Learning (INTEGREAT) at the University of Oslo. Prior to this he was a Research Associate at the MRC Biostatistics Unit at the University of Cambridge, and completed his PhD in Biostatistics at the University of Oslo in 2022. His interests are broadly within the realms of probabilistic machine learning, and connections to Bayesian nonparametrics.
 

Tid og sted: , NHA B1120
Tid og sted: , Room 1249 at Eilert Sundts Hus

Department seminar. Hans Henrik Sievertsen is a Professor at the Danish Center for Social Science Research (VIVE), and an Associate Professor at the Univeristy of Bristol School of Economics. He will present the paper "Saving neonatal lives at scale: lessons for targeting."

Tid og sted: , Niels Henrik Abels hus, 9th floor, 919

Earthquake, landslide, and glacier instabilities are multi-scale processes that cannot be predicted. When a rock is subjected to large stress, it can develop fractures that grow and connect to form a network. This network of fractures spans the entire rock right before it fails catastrophically. Despite extensive research on rock damage, researchers are still far from being able to predict when a rock will fail. Here, I will show how to use a multi-view convolutional neural network model to identify characteristics of a failing rock. By training a neural network model on images of rock samples exposed to different levels of stress, one can predict how close a rock is to failure. The neural network model outperforms traditional estimates based on fracture density. More importantly, the model provides fundamental insight that may offer precursory information on impending material failure. For instance, according to the model, the angle of the fracture plane relative to the principal loading direction becomes a key factor contributing to failure.

Tid og sted: , Peisestua (room 304), Svein Rosselands Hus

Eilif Sommer ?yre, Rosseland Centre for Solar Physics (RoCS), UiO.

Tid og sted: , Zoom

Elo?se Mignon (University of Melbourne) will present her research on family relationships in The Wild Duck.