Recovering p-adic valuations from pro-p Galois groups
Koenigsmann, J
Strommen, K
Journal of the London Mathematical Society
volume 109
issue 5
(25 Apr 2024)
Trans-Dimensional Generative Modeling via Jump Diffusion Models
Campbell, A
De Bortoli, V
Harvey, W
Rainforth, T
Weilbach, C
Doucet, A
Advances in Neural Information Processing Systems
volume 36
(01 Jan 2023)
A Unified Framework for U-Net Design and Analysis
Williams, C
Falck, F
Deligiannidis, G
Holmes, C
Doucet, A
Syed, S
Advances in Neural Information Processing Systems
volume 36
(01 Jan 2023)
Diffusion Schrödinger Bridge Matching
Shi, Y
De Bortoli, V
Campbell, A
Doucet, A
Advances in Neural Information Processing Systems
volume 36
(01 Jan 2023)
FaceTouch: detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious diseases
Ibrahim, M
Lyons, T
PLoS ONE
volume 19
issue 6
(13 Jun 2024)
I too [love] I2: a new class of hyperelastic isotropic incompressible models based solely on the second invariant
Kuhl, E
Goriely, A
Journal of the Mechanics and Physics of Solids
volume 188
(03 May 2024)
I too I 2 : A new class of hyperelastic isotropic incompressible models based solely on the second invariant
Kuhl, E
Goriely, A
Journal of the Mechanics and Physics of Solids
volume 188
105670
(Jul 2024)
Fri, 03 May 2024
12:00 -
13:00
Quillen Room
The canonical dimension of depth-zero supercuspidal representations
Mick Gielen
(University of Oxford)
Abstract
Associated to a complex admissible representation of a p-adic group is an invariant known is the "canonical dimension". It is closely related to the more well-studied invariant called the "wavefront set". The advantage of the canonical dimension over the wavefront set is that it allows for a completely different approach in computing it compared to the known computational methods for the wavefront set. In this talk we illustrate this point by finding a lower bound for the canonical dimension of any depth-zero supercuspidal representation, which depends only on the group and so is independent of the representation itself. To compute this lower bound, we consider the geometry of the associated Bruhat-Tits building.
Optimal-complexity and robust multigrid methods for high-order FEM
Brubeck Martinez, P
Performance of a flexible bioreactor for tendon tissue engineering
Dvorak, N