activity
20182026
most citedOptimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms

16 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production

Renjini R. Nair, Damian K. Kowalczyk, Marco Gaudesi +1

Many applications today use large language models for code generation; however, production systems have strict latency requirements that can be difficult to meet with large models.…

eess.AS2022★ 1 cited

Conformer with dual-mode chunked attention for joint online and offline ASR

Felix Weninger, Marco Gaudesi, Md Akmal Haidar +3

In this paper, we present an in-depth study on online attention mechanisms and distillation techniques for dual-mode (i.e., joint online and offline) ASR using the Conformer Transd…

eess.AS2021

ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization

Marco Gaudesi, Felix Weninger, Dushyant Sharma +1

End-to-end (E2E) multi-channel ASR systems show state-of-the-art performance in far-field ASR tasks by joint training of a multi-channel front-end along with the ASR model. The mai…

eess.AS2021

Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition

Felix Weninger, Marco Gaudesi, Ralf Leibold +2

In this paper, we propose a dual-encoder ASR architecture for joint modeling of close-talk (CT) and far-talk (FT) speech, in order to combine the advantages of CT and FT devices fo…

cs.NE2018★ 16 cited

Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms

D. Bucur, G. Iacca, M. Gaudesi +2

In novel forms of the Social Internet of Things, any mobile user within communication range may help routing messages for another user in the network. The resulting message deliver…