Certification of iterative predictions in Bayesian neural networks
Wicker, M Laurenti, L Patane, A Paoletti, N Abate, A Kwiatkowska, M Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence 1713-1723 (01 Dec 2021)
Differentiable particle filtering via entropy-regularized optimal transport
Corenflos, A Thornton, J Deligiannidis, G Doucet, A 2100-2111 (01 Jul 2021)
Annealed Flow Transport Monte Carlo
Arbel, M Matthews, A Doucet, A 318-330 (01 Jul 2021)
Descriptive analysis of surveillance data for Zika virus disease and Zika virus-associated neurological complications in Colombia, 2015–2017
Charniga, K Cucunuba, Z Walteros, D Mercado, M Prieto, F Ospina, M Nouvellet, P Donnelly, C PLoS ONE volume 16 issue 6 (16 Jun 2021)
Fri, 28 May 2021
12:45

Boundary causality violating metrics in holography

Diandian Wang
(University of California Santa Barbara)
Abstract

A well-behaved field theory living on a fixed background has a causality structure defined by the background metric. In holography, however, signals can travel through the bulk, and some bulk metrics would allow a signal to travel faster than the speed of light as seen on the boundary. These are called boundary causality violating metrics. Holographers usually work with a classical bulk metric, in which case they declare that boundary causality violating metrics are forbidden. However, in a full quantum gravity path integral, these metrics do contribute. The question is then: how to avoid causality violation in this context? In this talk I will give a prescription that achieves this.

Fri, 11 Jun 2021
12:45

4d Chern-Simons theory and the Bethe/gauge correspondence for superspin chains

Junya Yagi
(Tsinghua University)
Abstract

I will discuss a string theory perspective on the Bethe/Gauge correspondence for the XXX superspin chain. I explain how to realize 4d Chern-Simons theory with gauge supergroup using branes, and how the brane configurations for the superspin chain get mapped to 2d N = (2,2) quiver gauge theories proposed by Nekrasov. This is based on my ongoing work with Nafiz Ishtiaque, Faroogh Moosavian and Surya Raghavendran.

Statistical Estimation of the Reproductive Number From Case Notification Data
White, L Moser, C Thompson, R Pagano, M American Journal of Epidemiology volume 190 issue 4 611-620 (06 Apr 2021)
MetaFun: Meta-learning with iterative functional updates
Xu, J Ton, J Kim, H Kosiorek, A Teh, Y 37th International Conference on Machine Learning, ICML 2020 volume PartF168147-14 10548-10558 (01 Jan 2020)
Fractional underdamped langevin dynamics: Retargeting SGD with momentum under heavy-tailed gradient noise
Simsekli, U Zhu, L Teh, Y Gürbüzbalaban, M 37th International Conference on Machine Learning, ICML 2020 volume PartF168147-12 8917-8927 (01 Jan 2020)
Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK
He, B Zaidi, S Elesedy, B Hutchinson, M Paleyes, A Harling, G Johnson, A Teh, Y group, O Royal Society Open Science volume 8 issue 3 201491 (24 Mar 2021)
Subscribe to