activity
20192023
most citedLow-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

30 citations · 35 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.HE2023★ 30 cited

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar +50

Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs h…

cs.MA2022

Data assimilation with agent-based models using Markov chain sampling

Daniel Tang, Nick Malleson

Every day, weather forecasting centres around the world make use of noisy, incomplete observations of the atmosphere to update their weather forecasts. This process is known as dat…

cs.CY2020★ 2 cited

Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing

Daniel Tang

Many countries are currently gearing up to use smart-phone apps to perform contact tracing as part of the effort to manage the COVID-19 pandemic and prevent resurgences of the dise…

cs.MA2020

Finding the maximum-a-posteriori behaviour of agents in an agent-based model

Daniel Tang

In this paper we consider the problem of finding the most probable set of events that could have led to a set of partial, noisy observations of some dynamical system. In particular…

cs.MA2019★ 1 cited

Data assimilation in Agent-based models using creation and annihilation operators

Daniel Tang

Agent-based models are a powerful tool for studying the behaviour of complex systems that can be described in terms of multiple, interacting ``agents''. However, because of their i…

cs.DS2019★ 2 cited

Efficient algorithms for modifying and sampling from a categorical distribution

Daniel Tang

Probabilistic programming languages and other machine learning applications often require samples to be generated from a categorical distribution where the probability of each one…