:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Scarpiniti, Michele, Scardapane, Simone, Comminiello, Danilo, Parisi, Raffaele, Uncini, Aurelio
Format:	Preprint
Published:	2016
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/1605.07833
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
by: Comminiello, Danilo, et al.
Published: (2021)

The IJCNN 2025 Review Process
by: Scarpiniti, Michele, et al.
Published: (2026)

PHemoNet: A Multimodal Network for Physiological Signals
by: Lopez, Eleonora, et al.
Published: (2024)

Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
by: Lopez, Eleonora, et al.
Published: (2024)

Semantic Compression via Multimodal Representation Learning
by: Grassucci, Eleonora, et al.
Published: (2025)

Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning
by: Comminiello, Danilo, et al.
Published: (2024)

Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution
by: Sigillo, Luigi, et al.
Published: (2025)

Generalizing Medical Image Representations via Quaternion Wavelet Networks
by: Sigillo, Luigi, et al.
Published: (2023)

Closing the Modality Gap Aligns Group-Wise Semantics
by: Grassucci, Eleonora, et al.
Published: (2026)

Training-Free Multimodal Guidance for Video to Audio Generation
by: Grassucci, Eleonora, et al.
Published: (2025)

Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality
by: Marinoni, Christian, et al.
Published: (2024)

Generative Models for Helmholtz Equation Solutions: A Dataset of Acoustic Materials
by: Gramaccioni, Riccardo Fosco, et al.
Published: (2025)

FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
by: Gramaccioni, Riccardo Fosco, et al.
Published: (2025)

A Wavelet Diffusion GAN for Image Super-Resolution
by: Aloisi, Lorenzo, et al.
Published: (2024)

Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education
by: Grassucci, Eleonora, et al.
Published: (2025)

Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land
by: Scardapane, Simone
Published: (2024)

Interpreting Temporal Graph Neural Networks with Koopman Theory
by: Guerra, Michele, et al.
Published: (2024)

Closing the gap in multimodal medical representation alignment
by: Grassucci, Eleonora, et al.
Published: (2026)

Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution
by: Sigillo, Luigi, et al.
Published: (2025)

Concrete Dense Network for Long-Sequence Time Series Clustering
by: Taloma, Redemptor Jr Laceda, et al.
Published: (2024)

Multi-View Hypercomplex Learning for Breast Cancer Screening
by: Lopez, Eleonora, et al.
Published: (2022)

A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity
by: Cicchetti, Giordano, et al.
Published: (2025)

Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
by: Montagna, Marco, et al.
Published: (2024)

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
by: Sigillo, Luigi, et al.
Published: (2025)

TACE: Tumor-Aware Counterfactual Explanations
by: Rossi, Eleonora Beatrice, et al.
Published: (2024)

Class incremental learning with probability dampening and cascaded gated classifier
by: Pomponi, Jary, et al.
Published: (2024)

Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
by: Szatkowski, Filip, et al.
Published: (2023)

StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)

Gramian Multimodal Representation Learning and Alignment
by: Cicchetti, Giordano, et al.
Published: (2024)

EEG-Based Emergency Braking Intensity Prediction Using Blind Source Separation
by: Zhou, Zikun, et al.
Published: (2026)

The Implicit Bias of Adam on Separable Data
by: Zhang, Chenyang, et al.
Published: (2024)

Ship in Sight: Diffusion Models for Ship-Image Super Resolution
by: Sigillo, Luigi, et al.
Published: (2024)

Distributed Blind Source Separation based on FastICA
by: Musluoglu, Cem Ates, et al.
Published: (2024)

UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization
by: Jiang, Yiming, et al.
Published: (2023)

Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference
by: Wójcik, Bartosz, et al.
Published: (2023)

Adaptive Point Transformer
by: Baiocchi, Alessandro, et al.
Published: (2024)

On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction
by: Muehlmann, Christoph, et al.
Published: (2020)

Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
by: Lopez, Eleonora, et al.
Published: (2024)

StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)

SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)