activity
20202026
most citedPHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions

37 citations · 146 across the 33 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

Gramian Multimodal Representation Learning and Alignment

Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo +1

Human perception integrates multiple modalities, such as vision, hearing, and language, into a unified understanding of the surrounding reality. While recent multimodal models have…

eess.SP2024★ 7 cited

Lightweight Diffusion Models for Resource-Constrained Semantic Communication

Giovanni Pignata, Eleonora Grassucci, Giordano Cicchetti +1

Recently, generative semantic communication models have proliferated as they are revolutionizing semantic communication frameworks, improving their performance, and opening the way…

cs.CV2024

Language-Oriented Semantic Latent Representation for Image Transmission

Giordano Cicchetti, Eleonora Grassucci, Jihong Park +3

In the new paradigm of semantic communication (SC), the focus is on delivering meanings behind bits by extracting semantic information from raw data. Recent advances in data-to-tex…

cs.LG2024

Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning

Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic +1

Hypercomplex algebras have recently been gaining prominence in the field of deep learning owing to the advantages of their division algebras over real vector spaces and their super…

eess.SP2024★ 3 cited

Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling

Eleonora Grassucci, Jinho Choi, Jihong Park +3

In recent years, novel communication strategies have emerged to face the challenges that the increased number of connected devices and the higher quality of transmitted information…

cs.CV2024

Towards Explaining Hypercomplex Neural Networks

Eleonora Lopez, Eleonora Grassucci, Debora Capriotti +1

Hypercomplex neural networks are gaining increasing interest in the deep learning community. The attention directed towards hypercomplex models originates from several aspects, spa…

cs.IT2024

Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts

Jinho Choi, Jihong Park, Eleonora Grassucci +1

Semantic communication, emerging as a promising paradigm for data transmission, offers an innovative departure from the constraints of Shannon theory, heralding significant advance…

cs.CL2024★ 7 cited

Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks

Eleonora Grassucci, Jihong Park, Sergio Barbarossa +3

While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption in communication frameworks is still far underestimat…