Search Results for author: Lixuan Yang

Found 6 papers, 0 papers with code

How Much is Enough? A Study on Diffusion Times in Score-based Generative Models

no code implementations10 Jun 2022 Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi

Score-based diffusion models are a class of generative models whose dynamics is described by stochastic differential equations that map noise into data.

Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOps

no code implementations28 Feb 2022 Lixuan Yang, Dario Rossi

Artificial Intelligence (AI) has recently attracted a lot of attention, transitioning from research labs to a wide range of successful deployments in many fields, which is particularly true for Deep Learning (DL) techniques.


Thinkback: Task-SpecificOut-of-Distribution Detection

no code implementations13 Jul 2021 Lixuan Yang, Dario Rossi

The increased success of Deep Learning (DL) has recently sparked large-scale deployment of DL models in many diverse industry segments.

Out-of-Distribution Detection

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification

no code implementations9 Jul 2021 Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi

The recent popularity growth of Deep Learning (DL) re-ignited the interest towards traffic classification, with several studies demonstrating the accuracy of DL-based classifiers to identify Internet applications' traffic.

class-incremental learning Incremental Learning +1

Heterogeneous Data-Aware Federated Learning

no code implementations12 Nov 2020 Lixuan Yang, Cedric Beliard, Dario Rossi

Federated learning (FL) is an appealing concept to perform distributed training of Neural Networks (NN) while keeping data private.

Federated Learning Traffic Classification

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