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08/11/2023
Large Language Models for Telecom: Forthcoming Impact on the Industry
Large Language Models (LLMs) have emerged as a transformative force, rev...
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04/21/2023
An Optimization Framework For Anomaly Detection Scores Refinement With Side Information
This paper considers an anomaly detection problem in which a detection a...
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02/14/2023
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms
Data pruning algorithms are commonly used to reduce the memory and compu...
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02/02/2023
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
We consider the optimisation of large and shallow neural networks via gr...
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01/13/2023
A Framework for the Evaluation of Network Reliability Under Periodic Demand
In this paper, we study network reliability in relation to a periodic ti...
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01/12/2023
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks
In this article, we advocate for the design of ad hoc artificial intelli...
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05/17/2022
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
This article studies the infinite-width limit of deep feedforward neural...
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06/06/2021
Regularization in ResNet with Stochastic Depth
Regularization plays a major role in modern deep learning. From classic ...
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09/23/2020
An Information Theoretic approach to Post Randomization Methods under Differential Privacy
Post Randomization Methods (PRAM) are among the most popular disclosure ...
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07/30/2020
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models
This paper introduces a new methodology for detecting anomalies in time ...
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06/19/2020
The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties
Pure-jump Lévy processes are popular classes of stochastic processes whi...
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02/27/2019
Nonnegative Bayesian nonparametric factor models with completely random measures for community detection
We present a Bayesian nonparametric Poisson factorization model for mode...
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02/27/2019
Consistent estimation of the missing mass for feature models
Feature models are popular in machine learning and they have been recent...
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02/27/2019
A Good-Turing estimator for feature allocation models
Feature allocation models generalize species sampling models by allowing...
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02/13/2019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior
Bayesian nonparametric approaches, in particular the Pitman-Yor process ...
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06/25/2018