Eleonora Grassucci

Orcid: 0000-0003-4626-4506

According to our database1, Eleonora Grassucci authored at least 32 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing].
IEEE Signal Process. Mag., May, 2024

Attention-map augmentation for hypercomplex breast cancer classification.
Pattern Recognit. Lett., 2024

Rethinking Multi-User Semantic Communications with Deep Generative Models.
CoRR, 2024

Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning.
CoRR, 2024

Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks.
CoRR, 2024

Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

β-Quaternion Centralized Fusion Estimation Problem Under First-Order Properness Conditions.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Language-Oriented Semantic Latent Representation for Image Transmission.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Towards Explaining Hypercomplex Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Semantic Communication with Deep Generative Models: An Overview.
Proceedings of the IEEE International Conference on Acoustics, 2024

Diffusion Models for Audio Semantic Communication.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Semantic Communications Based on Adaptive Generative Models and Information Bottleneck.
IEEE Commun. Mag., November, 2023

Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation.
Pattern Recognit. Lett., February, 2023

Hypercomplex generative models: AI beyond Clifford algebra.
PhD thesis, 2023

GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging.
IEEE Signal Process. Lett., 2023

Generalizing Medical Image Representations via Quaternion Wavelet Networks.
CoRR, 2023

Enhancing Semantic Communication with Deep Generative Models - An ICASSP Special Session Overview.
CoRR, 2023

Generative Semantic Communication: Diffusion Models Beyond Bit Recovery.
CoRR, 2023

Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Efficient Sound Event Localization and Detection in the Quaternion Domain.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Multi-View Breast Cancer Classification via Hypercomplex Neural Networks.
CoRR, 2022

Hypercomplex Image- to- Image Translation.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders.
Entropy, 2021

Lightweight Convolutional Neural Networks By Hypercomplex Parameterization.
CoRR, 2021

Quaternion Generative Adversarial Networks.
CoRR, 2021

A Quaternion-Valued Variational Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2021

2017
Flexible Generative Adversarial Networks with Non-parametric Activation Functions.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017


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