activity
20132022
most citedCriticality, factorization and long-range correlations in the anisotropic XY-model

59 citations · 248 across the 12 of their papers we have counts for

collaborators

12 papers

cs.AI2022★ 7 cited

Discovering Agents

Zachary Kenton, Ramana Kumar, Sebastian Farquhar +3

Causal models of agents have been used to analyse the safety aspects of machine learning systems. But identifying agents is non-trivial -- often the causal model is just assumed by…

cs.AI2022

Counterfactual harm

Jonathan G. Richens, Rory Beard, Daniel H. Thompson

To act safely and ethically in the real world, agents must be able to reason about harm and avoid harmful actions. However, to date there is no statistical method for measuring har…

cs.AI2020★ 2 cited

Learning medical triage from clinicians using Deep Q-Learning

Albert Buchard, Baptiste Bouvier, Giulia Prando +10

Medical Triage is of paramount importance to healthcare systems, allowing for the correct orientation of patients and allocation of the necessary resources to treat them adequately…

stat.ML2019★ 4 cited

Leveraging directed causal discovery to detect latent common causes

Ciarán M. Lee, Christopher Hart, Jonathan G. Richens +1

The discovery of causal relationships is a fundamental problem in science and medicine. In recent years, many elegant approaches to discovering causal relationships between two var…

cs.AI2019★ 12 cited

MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming

Yura Perov, Logan Graham, Kostis Gourgoulias +4

We elaborate on using importance sampling for causal reasoning, in particular for counterfactual inference. We show how this can be implemented natively in probabilistic programmin…

stat.ML2019★ 3 cited

Counterfactual diagnosis

Jonathan G. Richens, Ciaran M. Lee, Saurabh Johri

Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases \e…

quant-ph2017★ 44 cited

Entanglement is necessary for emergent classicality in all physical theories

Jonathan G. Richens, John H. Selby, Sabri W. Al-Safi

One of the most striking features of quantum theory is the existence of entangled states, responsible for Einstein's so called "spooky action at a distance". These states emerge fr…

quant-ph2017★ 27 cited

Finite-bath corrections to the second law of thermodynamics

Jonathan G. Richens, Álvaro M. Alhambra, Lluis Masanes

The second law of thermodynamics states that a system in contact with a heat bath can undergo a transformation if and only if its free energy decreases. However, the "if" part of t…

quant-ph2016★ 44 cited

Entanglement is an inevitable feature of any non-classical theory

Jonathan G. Richens, John H. Selby, Sabri W. Al-Safi

One of the most striking features of quantum theory is the existence of entangled states, responsible for Einstein's so called "spooky action at a distance". These states emerge fr…

quant-ph2016★ 32 cited

From single-shot to general work extraction with bounded fluctuations in work

Jonathan G. Richens, Lluis Masanes

In the standard framework of thermodynamics the work produced or consumed in a process is a random variable whose average value is bounded by the change in the free energy of the s…

quant-ph2015★ 14 cited

Reversibility and the structure of the local state space

Sabri W. Al-Safi, Jonathan Richens

The richness of quantum theory's reversible dynamics is one of its unique operational characteristics, with recent results suggesting deep links between the theory's reversible dyn…

quant-ph2013★ 59 cited

Criticality, factorization and long-range correlations in the anisotropic XY-model

Steve Campbell, Jonathan Richens, Nicola Lo Gullo +1

We study the long-range quantum correlations in the anisotropic XY-model. By first examining the thermodynamic limit we show that employing the quantum discord as a figure of merit…