Mon, 07 Mar 2022
13:00
L2

Symmetry-enriched quantum criticality

Nick Jones
(Oxford)
Abstract

I will review aspects of the theory of symmetry-protected topological phases, focusing on the case of one-dimensional quantum chains. Important concepts include the bulk-boundary correspondence, with bulk topological invariants leading to interesting boundary phenomena. I will discuss topological invariants and associated boundary phenomena in the case that the system is gapless and described at low energies by a conformal field theory. Based on work with Ruben Verresen, Ryan Thorngren and Frank Pollmann.

Tue, 03 May 2022

14:00 - 14:30
L3

Permutation compressors for provably faster distributed nonconvex optimization

Rafal Szlendak
(University of Warwick)
Abstract
In this talk, we are going to explore our recent paper that builds upon MARINA -- the current state-of-the-art distributed non-convex optimization method in terms of theoretical communication complexity. Theoretical superiority of this method can be largely attributed to two sources: the use of a carefully engineered biased stochastic gradient estimator, which leads to a reduction in the number of communication rounds, and the reliance on independent stochastic communication compression operators, which leads to a reduction in the number of transmitted bits within each communication round. In this paper we
 
i) extend the theory of MARINA to support a much wider class of potentially correlated compressors, extending the reach of the method beyond the classical independent compressors setting,  
 
ii) show that a new quantity, for which we coin the name Hessian variance, allows us to significantly refine the original analysis of MARINA without any additional assumptions, and 
 

iii) identify a special class of correlated compressors based on the idea of random permutations, for which we coin the term PermK. The use of this technique results in the strict improvement on the previous MARINA rate. In the low Hessian variance regime, the improvement can be as large as √n, when d > n, and 1 + √d/n, when n<=d, where n is the number of workers and d is the number of parameters describing the model we are learning.

Density of GeV muons in air showers measured with IceTop
Abbasi, R Ackermann, M Adams, J Aguilar, J Ahlers, M Ahrens, M Alameddine, J Alves, A Amin, N Andeen, K Anderson, T Anton, G Argüelles, C Ashida, Y Axani, S Bai, X V., A Barwick, S Bastian, B Basu, V Baur, S Bay, R Beatty, J Becker, K Tjus, J Beise, J Bellenghi, C Benda, S BenZvi, S Berley, D Bernardini, E Besson, D Binder, G Bindig, D Blaufuss, E Blot, S Boddenberg, M Bontempo, F Borowka, J Böser, S Botner, O Böttcher, J Bourbeau, E Bradascio, F Braun, J Brinson, B Bron, S Brostean-Kaiser, J Browne, S Burgman, A Burley, R Busse, R Campana, M Carnie-Bronca, E Chen, C Chen, Z Chirkin, D Choi, K Clark, B Clark, K Classen, L Coleman, A Collin, G Conrad, J Coppin, P Correa, P Cowen, D Cross, R Dappen, C Dave, P De Clercq, C DeLaunay, J López, D Dembinski, H Deoskar, K Desai, A Desiati, P de Vries, K de Wasseige, G de With, M DeYoung, T Diaz, A Díaz-Vélez, J Dittmer, M Dujmovic, H Dunkman, M DuVernois, M Ehrhardt, T Eller, P Engel, R Erpenbeck, H Evans, J Evenson, P Fan, K Fazely, A Fedynitch, A Feigl, N Fiedlschuster, S Fienberg, A Finley, C Fischer, L Fox, D Franckowiak, A Friedman, E Fritz, A Fürst, P Gaisser, T Gallagher, J Ganster, E Garcia, A Garrappa, S Gerhardt, L Ghadimi, A Glaser, C Glauch, T Glüsenkamp, T Gonzalez, J Goswami, S Grant, D Grégoire, T Griswold, S Günther, C Gutjahr, P Haack, C Hallgren, A Halliday, R Halve, L Halzen, F Minh, M Hanson, K Hardin, J Harnisch, A Haungs, A Hebecker, D Helbing, K Henningsen, F Hettinger, E Hickford, S Hignight, J Hill, C Hill, G Hoffman, K Hoffmann, R Hoshina, K Huang, F Huber, M Huber, T Hultqvist, K Hünnefeld, M Hussain, R Hymon, K In, S Iovine, N Ishihara, A Jansson, M Japaridze, G Jeong, M Jin, M Jones, B Kang, D Kang, W Kang, X Kappes, A Kappesser, D Kardum, L Karg, T Karl, M Karle, A Katz, U Kauer, M Kellermann, M Kelley, J Kheirandish, A Kin, K Kintscher, T Kiryluk, J Klein, S Koirala, R Kolanoski, H Kontrimas, T Köpke, L Kopper, C Kopper, S Koskinen, D Koundal, P Kovacevich, M Kowalski, M Kozynets, T Kun, E Kurahashi, N Lad, N Gualda, C Lanfranchi, J Larson, M Lauber, F Lazar, J Lee, J Leonard, K Leszczyńska, A Li, Y Lincetto, M Liu, Q Liubarska, M Lohfink, E Mariscal, C Lu, L Lucarelli, F Ludwig, A Luszczak, W Lyu, Y Ma, W Madsen, J Mahn, K Makino, Y Mancina, S Mari{ş}, I Martinez-Soler, I Maruyama, R McCarthy, S McElroy, T McNally, F Mead, J Meagher, K Mechbal, S Medina, A Meier, M Meighen-Berger, S Micallef, J Mockler, D Montaruli, T Moore, R Morse, R Moulai, M Naab, R Nagai, R Naumann, U Necker, J Nguy{\~{ê}}n, L Niederhausen, H Nisa, M Nowicki, S Pollmann, A Oehler, M Oeyen, B Olivas, A O'Sullivan, E Pandya, H Pankova, D Park, N Parker, G Paudel, E Paul, L Heros, C Peters, L Peterson, J Philippen, S Pieper, S Pittermann, M Pizzuto, A Plum, M Popovych, Y Porcelli, A Rodriguez, M Pries, B Przybylski, G Raab, C Rack-Helleis, J Raissi, A Rameez, M Rawlins, K Rea, I Rechav, Z Rehman, A Reichherzer, P Reimann, R Renzi, G Resconi, E Reusch, S Rhode, W Richman, M Riedel, B Roberts, E Robertson, S Roellinghoff, G Rongen, M Rott, C Ruhe, T Ryckbosch, D Cantu, D Safa, I Saffer, J Herrera, S Sandrock, A Santander, M Sarkar, S Satalecka, K Schaufel, M Schieler, H Schindler, S Schmidt, T Schneider, A Schneider, J Schröder, F Schumacher, L Schwefer, G Sclafani, S Seckel, D Seunarine, S Sharma, A Shefali, S Shimizu, N Silva, M Skrzypek, B Smithers, B Snihur, R Soedingrekso, J Soldin, D Spannfellner, C Spiczak, G Spiering, C Stachurska, J Stamatikos, M Stanev, T Stein, R Stettner, J Stezelberger, T Stürwald, T Stuttard, T Sullivan, G Taboada, I Ter-Antonyan, S Thwaites, J Tilav, S Tischbein, F Tollefson, K Tönnis, C Toscano, S Tosi, D Trettin, A Tselengidou, M Tung, C Turcati, A Turcotte, R Turley, C Twagirayezu, J Ty, B Elorrieta, M Valtonen-Mattila, N Vandenbroucke, J van Eijndhoven, N Vannerom, D van Santen, J Veitch-Michaelis, J Verpoest, S Walck, C Wang, W Watson, T Weaver, C Weigel, P Weindl, A Weiss, M Weldert, J Wendt, C Werthebach, J Weyrauch, M Whitehorn, N Wiebusch, C Williams, D Wolf, M Wrede, G Wulff, J Xu, X Yanez, J Yildizci, E Yoshida, S Yu, S Yuan, T Zhang, Z Zhelnin, P (29 Jan 2022)
Mon, 21 Feb 2022

15:30 - 16:30
L3

The Wasserstein space of stochastic processes & computational aspects.

GUDMUND PAMMER
(ETH Zurich)
Abstract

Wasserstein distance induces a natural Riemannian structure for the probabilities on the Euclidean space. This insight of classical transport theory is fundamental for tremendous applications in various fields of pure and applied mathematics. We believe that an appropriate probabilistic variant, the adapted Wasserstein distance $AW$, can play a similar role for the class $FP$ of filtered processes, i.e. stochastic processes together with a filtration. In contrast to other topologies for stochastic processes, probabilistic operations such as the Doob-decomposition, optimal stopping and stochastic control are continuous w.r.t. $AW$. We also show that $(FP, AW)$ is a geodesic space, isometric to a classical Wasserstein space, and that martingales form a closed geodesically convex subspace. Finally we consider computational aspects and provide a novel method based on the Sinkhorn algorithm.

The talk is based on articles with Daniel Bartl, Mathias Beiglböck and Stephan Eckstein.

Mon, 07 Mar 2022
14:15
L5

Brakke Regularity for the Allen--Cahn Flow

Huy The Nguyen
(Queen Mary University, London)
Further Information

The talk will be both online (Teams) and in person (L5)

Abstract

In this talk we prove an analogue of the Brakke's $\epsilon$-regularity theorem for the parabolic Allen--Cahn equation. In particular, we show uniform $C^{2,\alpha}$ regularity for the transition layers converging to smooth mean curvature flows as $\epsilon\rightarrow 0$. A corresponding gap theorem for entire eternal solutions of the parabolic Allen--Cahn is also obtained. As an application of the regularity theorem, we give an affirmative answer to a question of Ilmanen that there is no cancellation in BV convergence in the mean convex setting.

Thu, 17 Mar 2022

17:00 - 18:15

Deep Maths - machine learning and mathematics

Alex Davies, Andras Juhasz, Marc Lackenby, Geordie Williamson
Further Information

In December 2021 mathematicians at Oxford and Sydney universities together with their collaborators at DeepMind announced that they had successfully used tools from machine learning to discover new patterns in mathematics. But what exactly had they done and what are its implications for the future of mathematics and mathematicians?

This online event will feature short talks from each of the four collaborators explaining their work followed by a panel discussion addressing its wider implications.

The speakers:
Alex Davies - DeepMind
Andras Juhasz - University of Oxford
Marc Lackenby - University of Oxford
Geordie Williamson - University of Sydney

The panel will be chaired by Jon Keating, Sedleian Professor of Natural Philosophy in Oxford.

This is an online only lecture which every one is free to watch:
Oxford Mathematics YouTube

The Oxford Mathematics Public Lectures are generously supported by XTX Markets.

Tue, 08 Feb 2022
14:00
Virtual

Large hypergraphs without tight cycles

Barnabas Janzer
(Cambridge)
Abstract

An $r$-uniform tight cycle of length $k>r$ is a hypergraph with vertices $v_1,\ldots,v_k$ and edges $\{v_i,v_{i+1},…,v_{i+r-1}\}$ (for all $i$), with the indices taken modulo $k$. Sós, and independently Verstraëte, asked the following question: how many edges can there be in an $n$-vertex $r$-uniform hypergraph if it contains no tight cycles of any length? In this talk I will review some known results, and present recent progress on this problem.

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