Past events

Find information about past ANU MSI events.

08
Sep
2020

Caustics of weakly Lagrangian distributions »

Dr Sean Gomes, ANU
1.15pm 8 September 2020

We consider semiclassical sequences of distributions associated to a Lagrangian submanifold L of phase space.

04
Sep
2020

Third Prism Seminar »

Dr James Borger (MSI)
3pm 4 September 2020

The talks in 2020 will be on Drinfeld's approach to prismatic cohomology.

01
Sep
2020

The Picard group indexed slice spectral sequence »

Vigleik Angeltveit, ANU
3.30pm 1 September 2020

The Picard group indexed slice spectral sequence

28
Aug
2020

The Co-Lab at ANU Virtual Open Week »

5pm 28 August 2020

Find out what the Australian Signals Directorate-ANU Co-Lab: a collaboration between the Australian Signals Directorate and the ANU is!

04
Aug
2020

Complex Links and Algebraic Multiplicities »

Martin Helmer, ANU
3.30pm 4 August 2020

Complex Links and Algebraic Multiplicities

07
Jul
2020

A counterexample to conjectures of Schlichting and of Antieau, Gepner and Heller »

Amnon Neeman, ANU
3.30pm 7 July 2020

A counterexample to conjectures of Schlichting and of Antieau, Gepner and Heller

14
May
2020

Geometric representation theory and the geometric Satake equivalence »

Professor Geordie Williamson, University of Sydney and the Sydney Mathematical Research Institute
4pm 14 May 2020

Geometric representation theory and the geometric Satake equivalence

20
Mar
2020

Co-Lab Seminar  »

Dr Anand Deopurkar (MSI), Dr Ralph Buchholz (DST)
3pm 20 March 2020

A joint seminar with Dr Anand Deopurkar (MSI) and Dr Ralph Buchholz (DST) Anand Deopurkar (MSI) - Searching for rational solutions to polynomial equations. Ralph Buchholz (DST) - Searching for perfect triangles.

13
Mar
2020

Third Prism Seminar »

Dr James Borger (MSI)
3pm 13 March 2020

We will go through Drinfeld's reformulation of Bhatt and Scholze's theory of prismatic cohomology.

11
Mar
2020

High dimensional approximation »

Daniel Potts, Technische Universität Chemnitz, Germany
2pm 11 March 2020

We will present algorithms for the approximation of multivariate functions, starting with the approximation by trigonometric polynomials based on sampling of multivariate functions on rank-1 lattices.

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