activity
20162026
most citedGroup Sparse Regularization for Deep Neural Networks

477 citations · 819 across the 59 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.LG2025

Generative Models for Helmholtz Equation Solutions: A Dataset of Acoustic Materials

Riccardo Fosco Gramaccioni, Christian Marinoni, Fabrizio Frezza +2

Accurate simulation of wave propagation in complex acoustic materials is crucial for applications in sound design, noise control, and material engineering. Traditional numerical so…

cs.MM2025

Controllable Audio-Visual Viewpoint Generation from 360° Spatial Information

Christian Marinoni, Riccardo Fosco Gramaccioni, Eleonora Grassucci +1

The generation of sounding videos has seen significant advancements with the advent of diffusion models. However, existing methods often lack the fine-grained control needed to gen…

cs.SD2025

FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders

Riccardo Fosco Gramaccioni, Christian Marinoni, Eleonora Grassucci +3

In this work, we present FoleyGRAM, a novel approach to video-to-audio generation that emphasizes semantic conditioning through the use of aligned multimodal encoders. Building on…

cs.SD2025

StereoSync: Spatially-Aware Stereo Audio Generation from Video

Christian Marinoni, Riccardo Fosco Gramaccioni, Kazuki Shimada +3

Although audio generation has been widely studied over recent years, video-aligned audio generation still remains a relatively unexplored frontier. To address this gap, we introduc…

cs.LG2025

A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity

Giordano Cicchetti, Eleonora Grassucci, Danilo Comminiello

Multimodal learning plays a pivotal role in advancing artificial intelligence systems by incorporating information from multiple modalities to build a more comprehensive representa…

cs.LG2025

Training-Free Multimodal Guidance for Video to Audio Generation

Eleonora Grassucci, Giuliano Galadini, Giordano Cicchetti +3

Video-to-audio (V2A) generation aims to synthesize realistic and semantically aligned audio from silent videos, with potential applications in video editing, Foley sound design, an…