In this paper a new system identification method called Sign-Perturbed Sums (SPS) has been introduced. SPS allows the construction of guaranteed non-asymptotic confidence regions, which are built around the least-squares estimate and contain the tru…

We propose a new system identification method, called Sign-Perturbed Sums (SPS), for constructing non-asymptotic confidence regions under mild statis…

The main result of this paper is a matrix product formula for Macdonald polynomials in terms of deformed bosonic operators. This formula implies a new explicit way to efficiently compute these polynomials and also provides a combinatorial interpreta…

We derive a matrix product formula for symmetric Macdonald polynomials. Our results are obtained by constructing polynomial solutions of deformed Kni…

We have proposed a novel deep learning method for multi-domain learning, based on joint learning of domain-specific and domain-general components, using either domain conditioning or domain generation. Based on our evaluation over multi-domain langu…

Most real world language problems require learning from heterogenous corpora, raising the problem of learning robust models which generalise well to …

We have proposed a new authentication scheme based on noisy data like biometric features. The idea has similarities with the fuzzy vault scheme and works in the set difference metric, but it exploits the new setting of subspace codes. We have presen…

Fuzzy vault is a scheme providing secure authentication based on fuzzy matching of sets. A major application is the use of biometric features for aut…

We use the Gigaparsec WiggleZ (GiggleZ) simulations to characterise galaxy bias and its scale dependence for a range of redshifts and halo masses in …

Composite likelihood estimation has an important role in the analysis of multivariate data for which the full likelihood function is intractable. An …

This paper considers maximizing the network-wide minimum supported rate in the downlink of a two-cell system, where each base station (BS) is endowed…

We develop links between harmonic analysis, the geometry of numbers and random matrix theory in the setting of complex and quaternion vectors spaces.…

This paper studies the problem of Nash equilibrium approximation in large-scale heterogeneous mean-field games under communication and computation co…

We present a procedure to simultaneously design the output feedback law and the event-triggering condition to stabilize linear systems. The closed-lo…

Datasets with significant proportions of noisy (incorrect) class labels present challenges for training accurate Deep Neural Networks (DNNs). We prop…

Dissipative dark matter arising from a hidden sector consisting of $N_{\rm sec}$ exact copies of the Standard Model is discussed. The particles from …

The implementation of nuclear magnetic resonance (NMR) at the nanoscale is a major challenge, as conventional systems require relatively large ensemb…

The presence of an ionizing background of X-rays imprints a scale dependent signature on the 21-cm power spectrum during reionization. The impact of X-rays on the topology of reionization depends on the redshift at which one observes, as well as the…

We incorporate a contribution to reionization from X-rays within analytic and semi-numerical simulations of the 21-cm signal arising from neutral hyd…

The objective is to design output feedback event-triggered controllers to stabilize a class of nonlinear systems. One of the main difficulties of the…

The hyperpolarisation of nuclear spins within target molecules is a critical and complex challenge in magnetic resonance imaging (MRI) and nuclear ma…

This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important ar…

Internet of Things (IoT) aims to bring every object (e.g. smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, henc…

We consider a basic quantum hybrid network model consisting of a number of nodes each holding a qubit, for which the aim is to drive the network to a…

We investigate the photo-induced spin dynamics of single nitrogen-vacancy (NV) centres in diamond near the electronic ground state level anti-crossin…

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