PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (WIRN, 2012)

Convex combination of MIMO filters for multichannel acoustic echo cancellation. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (ISPA, 2013)

Music classification using extreme learning machines. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (ISPA, 2013)

Interactive quality enhancement in acoustic echo cancellation. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (TSP, 2013)

A Preliminary Study on Transductive Extreme Learning Machines. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (WIRN, 2013)

Proportionate Algorithms for Blind Source Separation. - Michele Scarpiniti; Danilo Comminiello; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (WIRN, 2013)

GP-based kernel evolution for L2-Regularization Networks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IEEE Congress on Evolutionary Computation, 2014)

An interpretable graph-based image classifier. - Filippo Maria Bianchi; Simone Scardapane; Lorenzo Livi; Aurelio Uncini; Antonello Rizzi (IJCNN, 2014)

An effective criterion for pruning reservoir's connections in Echo State Networks. - Simone Scardapane; Gabriele Nocco; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IJCNN, 2014)

Functional link expansions for nonlinear modeling of audio and speech signals. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (IJCNN, 2015)

Distributed music classification using Random Vector Functional-Link nets. - Simone Scardapane; Roberto Fierimonte; Dianhui Wang; Massimo Panella; Aurelio Uncini (IJCNN, 2015)

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. - Simone Scardapane; Massimo Panella; Danilo Comminiello; Aurelio Uncini (INNS Conference on Big Data, 2015)

Distributed learning for Random Vector Functional-Link networks. - Simone Scardapane; Dianhui Wang; Massimo Panella; Aurelio Uncini (Inf. Sci., 2015)

Prediction of telephone calls load using Echo State Network with exogenous variables. - Filippo Maria Bianchi; Simone Scardapane; Aurelio Uncini; Antonello Rizzi; Alireza Sadeghian (Neural Networks, 2015)

Improving nonlinear modeling capabilities of functional link adaptive filters. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Neural Networks, 2015)

Online Sequential Extreme Learning Machine With Kernels. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IEEE Trans. Neural Networks Learn. Syst., 2015)

Online Selection of Functional Links for Nonlinear System Identification. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Advances in Neural Networks, 2015)

Significance-Based Pruning for Reservoir's Neurons in Echo State Networks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Advances in Neural Networks, 2015)

Diffusion spline adaptive filtering. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (EUSIPCO, 2016)

Distributed spectral clustering based on Euclidean distance matrix completion. - Simone Scardapane; Rosa Altilio; Massimo Panella; Aurelio Uncini (IJCNN, 2016)

Parallel and distributed training of neural networks via successive convex approximation. - Paolo Di Lorenzo; Simone Scardapane (MLSP, 2016)

Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. - Simone Scardapane; Massimo Panella; Danilo Comminiello; Amir Hussain 001; Aurelio Uncini (IEEE Comput. Intell. Mag., 2016)

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. - Filippo Maria Bianchi; Simone Scardapane; Antonello Rizzi; Aurelio Uncini; Alireza Sadeghian (Cogn. Comput., 2016)

Distributed Supervised Learning using Neural Networks. - Simone Scardapane (CoRR, 2016)

Learning activation functions from data using cubic spline interpolation. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (CoRR, 2016)

Effective Blind Source Separation Based on the Adam Algorithm. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (CoRR, 2016)

A semi-supervised random vector functional-link network based on the transductive framework. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Inf. Sci., 2016)

Distributed semi-supervised support vector machines. - Simone Scardapane; Roberto Fierimonte; Paolo Di Lorenzo; Massimo Panella; Aurelio Uncini (Neural Networks, 2016)

A decentralized training algorithm for Echo State Networks in distributed big data applications. - Simone Scardapane; Dianhui Wang; Massimo Panella (Neural Networks, 2016)

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Recent Advances in Nonlinear Speech Processing, 2016)

A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. - Roberto Fierimonte; Simone Scardapane; Massimo Panella; Aurelio Uncini (Advances in Neural Networks, 2016)

Benchmarking Functional Link Expansions for Audio Classification Tasks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Advances in Neural Networks, 2016)

In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks. - Donatella Firmani; Paolo Merialdo; Elena Nieddu; Simone Scardapane (AI*CH@AI*IA, 2017)

Recursive multikernel filters exploiting nonlinear temporal structure. - Steven Van Vaerenbergh; Simone Scardapane; Ignacio Santamaría (EUSIPCO, 2017)

A Multimodal Deep Network for the Reconstruction of T2W MR Images. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (IIH-MSP (1), 2017)

Flexible Generative Adversarial Networks with Non-parametric Activation Functions. - Eleonora Grassucci; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (IIH-MSP (1), 2017)

Efficient Data Augmentation Using Graph Imputation Neural Networks. - Indro Spinelli; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (IIH-MSP (1), 2017)

On the use of deep recurrent neural networks for detecting audio spoofing attacks. - Simone Scardapane; Lucas Stoffl; Florian Röhrbein; Aurelio Uncini (IJCNN, 2017)

Advances in Biologically Inspired Reservoir Computing. - Simone Scardapane; John B. Butcher; Filippo Maria Bianchi; Zeeshan Khawar Malik (Cogn. Comput., 2017)

Semi-supervised Echo State Networks for Audio Classification. - Simone Scardapane; Aurelio Uncini (Cogn. Comput., 2017)

Adaptation and learning over networks for nonlinear system modeling. - Simone Scardapane; Jie Chen 022; Cédric Richard (CoRR, 2017)

Kafnets: kernel-based non-parametric activation functions for neural networks. - Simone Scardapane; Steven Van Vaerenbergh; Aurelio Uncini (CoRR, 2017)

Bidirectional deep echo state networks. - Filippo Maria Bianchi; Simone Scardapane; Sigurd Løkse; Robert Jenssen (CoRR, 2017)

Group sparse regularization for deep neural networks. - Simone Scardapane; Danilo Comminiello; Amir Hussain 001; Aurelio Uncini (Neurocomputing, 2017)

A framework for parallel and distributed training of neural networks. - Simone Scardapane; Paolo Di Lorenzo (Neural Networks, 2017)

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. - Roberto Fierimonte; Simone Scardapane; Aurelio Uncini; Massimo Panella (IEEE Trans. Neural Networks Learn. Syst., 2017)

Randomness in neural networks: an overview. - Simone Scardapane; Dianhui Wang (WIREs Data Mining Knowl. Discov., 2017)

Bidirectional deep-readout echo state networks. - Filippo Maria Bianchi; Simone Scardapane; Sigurd Løkse; Robert Jenssen (ESANN, 2018)

Combined Sparse Regularization for Nonlinear Adaptive Filters. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Luis Antonio Azpicueta-Ruiz; Aurelio Uncini (EUSIPCO, 2018)

Improving Graph Convolutional Networks with Non-Parametric Activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Danilo Comminiello; Aurelio Uncini (EUSIPCO, 2018)

Sparse functional link adaptive filter using an ℓ1-norm regularization. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Aurelio Uncini (ISCAS, 2018)

Recurrent Neural Networks with flexible Gates using Kernel activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Danilo Comminiello; Simone Totaro; Aurelio Uncini (MLSP, 2018)

Complex-valued Neural Networks with Non-parametric Activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Amir Hussain 001; Aurelio Uncini (CoRR, 2018)

Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. - Simone Scardapane; Dianhui Wang; Aurelio Uncini (IEEE Trans. Cybern., 2018)

Stochastic Training of Neural Networks via Successive Convex Approximations. - Simone Scardapane; Paolo Di Lorenzo (IEEE Trans. Neural Networks Learn. Syst., 2018)

Privacy-Preserving Data Mining for Distributed Medical Scenarios. - Simone Scardapane; Rosa Altilio; Valentina Ciccarelli; Aurelio Uncini; Massimo Panella (Multidisciplinary Approaches to Neural Computing, 2018)

Effective Blind Source Separation Based on the Adam Algorithm. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Multidisciplinary Approaches to Neural Computing, 2018)

Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. - Paolo Di Lorenzo; Simone Scardapane (ACSSC, 2019)

Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. - Danilo Comminiello; Marco Lella; Simone Scardapane; Aurelio Uncini (ICASSP, 2019)

Widely Linear Kernels for Complex-valued Kernel Activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Danilo Comminiello; Aurelio Uncini (ICASSP, 2019)

Deep Randomized Neural Networks. - Claudio Gallicchio; Simone Scardapane (INNSBDDL (Tutorials), 2019)

Multikernel Activation Functions: Formulation and a Case Study. - Simone Scardapane; Elena Nieddu; Donatella Firmani; Paolo Merialdo (INNSBDDL, 2019)

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (MLSP, 2019)

On the Stability and Generalization of Learning with Kernel Activation Functions. - Michele Cirillo; Simone Scardapane; Steven Van Vaerenbergh; Aurelio Uncini (CoRR, 2019)

Compressing deep quaternion neural networks with targeted regularization. - Riccardo Vecchi; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (CoRR, 2019)

A Multimodal Deep Network for the Reconstruction of T2W MR Images. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Giorgio Finesi; Michele Scarpiniti; Aurelio Uncini (CoRR, 2019)

Kafnets: Kernel-based non-parametric activation functions for neural networks. - Simone Scardapane; Steven Van Vaerenbergh; Simone Totaro; Aurelio Uncini (Neural Networks, 2019)

Frontiers in Reservoir Computing. - Claudio Gallicchio; Mantas Lukosevicius; Simone Scardapane (ESANN, 2020)

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (EUSIPCO, 2020)

Differentiable Branching In Deep Networks for Fast Inference. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Enzo Baccarelli; Aurelio Uncini (ICASSP, 2020)

Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments. - Michela Ricciardi Celsi; Simone Scardapane; Danilo Comminiello (MLSP, 2020)

Compressing deep-quaternion neural networks with targeted regularisation. - Riccardo Vecchi; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (CAAI Trans. Intell. Technol., 2020)

Why Should We Add Early Exits to Neural Networks? - Simone Scardapane; Michele Scarpiniti; Enzo Baccarelli; Aurelio Uncini (Cogn. Comput., 2020)

Pseudo-Rehearsal for Continual Learning with Normalizing Flows. - Jary Pomponi; Simone Scardapane; Aurelio Uncini (CoRR, 2020)

Distributed Graph Convolutional Networks. - Simone Scardapane; Indro Spinelli; Paolo Di Lorenzo (CoRR, 2020)

Efficient continual learning in neural networks with embedding regularization. - Jary Pomponi; Simone Scardapane; Vincenzo Lomonaco; Aurelio Uncini (Neurocomputing, 2020)

A non-parametric softmax for improving neural attention in time-series forecasting. - Simone Totaro; Amir Hussain 001; Simone Scardapane (Neurocomputing, 2020)

Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications. - Enzo Baccarelli; Simone Scardapane; Michele Scarpiniti; Alireza Momenzadeh; Aurelio Uncini (Inf. Sci., 2020)

Missing data imputation with adversarially-trained graph convolutional networks. - Indro Spinelli; Simone Scardapane; Aurelio Uncini (Neural Networks, 2020)

Complex-Valued Neural Networks With Nonparametric Activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Amir Hussain 001; Aurelio Uncini (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Learning Activation Functions from Data Using Cubic Spline Interpolation. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Separation of Drum and Bass from Monaural Tracks. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Music Genre Classification Using Stacked Auto-Encoders. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Avalanche: An End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CVPR Workshops, 2021)

A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells. - Livia Lilli; Enrico Giarnieri; Simone Scardapane (Comput. Math. Methods Medicine, 2021)

Avalanche: an End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CoRR, 2021)

Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. - Indro Spinelli; Simone Scardapane; Amir Hussain 001; Aurelio Uncini (CoRR, 2021)

Bayesian Neural Networks with Maximum Mean Discrepancy regularization. - Jary Pomponi; Simone Scardapane; Aurelio Uncini (Neurocomputing, 2021)

Structured Ensembles: An approach to reduce the memory footprint of ensemble methods. - Jary Pomponi; Simone Scardapane; Aurelio Uncini (Neural Networks, 2021)

MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. - Valerio Marsocci; Simone Scardapane; Nikos Komodakis (Remote. Sens., 2021)

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. - Filippo Maria Bianchi; Simone Scardapane; Sigurd Løkse; Robert Jenssen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Adaptive Propagation Graph Convolutional Network. - Indro Spinelli; Simone Scardapane; Aurelio Uncini (IEEE Trans. Neural Networks Learn. Syst., 2021)

Distributed Training of Graph Convolutional Networks. - Simone Scardapane; Indro Spinelli; Paolo Di Lorenzo (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Towards Self-Supervised Gaze Estimation. - Arya Farkhondeh; Cristina Palmero; Simone Scardapane; Sergio Escalera (BMVC, 2022)

Engagement Detection with Multi-Task Training in E-Learning Environments. - Onur Çopur; Mert Nakip; Simone Scardapane; Jürgen Slowack (ICIAP (3), 2022)

Pixle: a fast and effective black-box attack based on rearranging pixels. - Jary Pomponi; Simone Scardapane; Aurelio Uncini (IJCNN, 2022)

Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems. - Flaminia Spasiano; Gabriele Gennaro; Simone Scardapane (IJCNN, 2022)

Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. - Alessio Verdone; Simone Scardapane; Massimo Panella (IJCNN, 2022)

Inferring 3D change detection from bitemporal optical images. - Valerio Marsocci; Virginia Coletta; Roberta Ravanelli; Simone Scardapane; Mattia Crespi (CoRR, 2022)

A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models. - Jary Pomponi; Simone Scardapane; Aurelio Uncini (Entropy, 2022)

Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library. - Lorenzo Lastilla; Serena Ammirati; Donatella Firmani; Nikos Komodakis; Paolo Merialdo; Simone Scardapane (Inf. Process. Manag., 2022)

FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. - Indro Spinelli; Simone Scardapane; Amir Hussain 001; Aurelio Uncini (IEEE Trans. Artif. Intell., 2022)

Centroids Matching: an efficient Continual Learning approach operating in the embedding space. - Jary Pomponi; Simone Scardapane; Aurelio Uncini (Trans. Mach. Learn. Res., 2022)

Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach (SHORT PAPER). - Tommaso Torda; Simona Gargiulo; Greta Grillo; Andrea Ciardiello; Cecilia Voena; Stefano Giagu; Simone Scardapane (HC@AIxIA, 2023)

EGG-GAE: scalable graph neural networks for tabular data imputation. - Lev Telyatnikov; Simone Scardapane (AISTATS, 2023)

GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. - Valerio Marsocci; Nicolas Gonthier; Anatol Garioud; Simone Scardapane; Clément Mallet (CVPR Workshops, 2023)

Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. - Indro Spinelli; Michele Guerra; Filippo Maria Bianchi; Simone Scardapane (ESANN, 2023)

Convolutional Neural Networks for the Detection of Esca Disease Complex in Asymptomatic Grapevine Leaves. - Alberto Carraro; Gaetano Saurio; Ainara López-Maestresalas; Simone Scardapane; Francesco Marinello (ICIAP Workshops (1), 2023)

ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo. - Gaetano Saurio; Marco Muscas; Indro Spinelli; Valerio Rughetti; Irma Della Giovampaola; Simone Scardapane (ICIAP Workshops (1), 2023)

Continual Self-Supervised Learning in Earth Observation with Embedding Regularization. - Hamna Moieez; Valerio Marsocci; Simone Scardapane (IGARSS, 2023)

Explainability in subgraphs-enhanced Graph Neural Networks. - Michele Guerra; Indro Spinelli; Simone Scardapane; Filippo Maria Bianchi (NLDL, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

Probabilistic Load Forecasting With Reservoir Computing. - Michele Guerra; Simone Scardapane; Filippo Maria Bianchi (IEEE Access, 2023)

Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models. - Jary Pomponi; Daniele Dántoni; Alessandro Nicolosi; Simone Scardapane (IEEE Access, 2023)

On the robustness of vision transformers for in-flight monocular depth estimation. - Simone Ercolino; Alessio Devoto; Luca Monorchio; Matteo Santini; Silvio Mazzaro; Simone Scardapane (Ind. Artif. Intell., 2023)

Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation. - Valerio Marsocci; Simone Scardapane (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Learning Speech Emotion Representations in the Quaternion Domain. - Eric Guizzo; Tillman Weyde; Simone Scardapane; Danilo Comminiello (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks. - Alessio Devoto; Indro Spinelli; Francesca Murabito; Fabrizio Chiovoloni; Riccardo Musmeci; Simone Scardapane (IEEE Trans. Ind. Informatics, 2023)

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. - Danilo Comminiello; Alireza Nezamdoust; Simone Scardapane; Michele Scarpiniti; Amir Hussain 001; Aurelio Uncini (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Continual learning with invertible generative models. - Jary Pomponi; Simone Scardapane; Aurelio Uncini (Neural Networks, 2023)

Guest Editorial: Trends in Reservoir Computing. - Simone Scardapane; Claudio Gallicchio; Alessio Micheli; Miguel C. Soriano (Cogn. Comput., 2023)

Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks. - Indro Spinelli; Riccardo Bianchini; Simone Scardapane (Neural Networks, 2023)

Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition. - Leandro Maglianella; Lorenzo Nicoletti; Stefano Giagu; Christian Napoli 001; Simone Scardapane (Comput. Softw. Big Sci., 2023)

Goal-Oriented Communications Based on Recursive Early Exit Neural Networks. - Jary Pomponi; Mattia Merluzzi; Alessio Devoto; Mateus Pontes Mota; Paolo Di Lorenzo; Simone Scardapane (IEEECONF, 2024)

A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression. - Alessio Devoto; Yu Zhao 043; Simone Scardapane; Pasquale Minervini (EMNLP, 2024)

Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. - Emilio Calvanese Strinati; Paolo Di Lorenzo; Vincenzo Sciancalepore; Adnan Aijaz; Marios Kountouris; Deniz Gündüz; Petar Popovski; Mohamed Sana; Photios A. Stavrou; Beatriz Soret; Nicola Cordeschi; Simone Scardapane; et al. (EuCNC/6G Summit, 2024)

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. - Claudio Battiloro; Indro Spinelli; Lev Telyatnikov; Michael M. Bronstein; Simone Scardapane; Paolo Di Lorenzo (ICLR, 2024)

Position: Topological Deep Learning is the New Frontier for Relational Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Lio; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (ICML, 2024)

Assessing the Adaptability of Self-Supervised Learning Methods for Small-Scale Hyperspectral Imaging. - Andrea Potì; Valerio Marsocci; Alessandro Nicolosi; Simone Scardapane (IGARSS, 2024)

Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion. - Filip Szatkowski; Bartosz Wójcik; Mikolaj Piórczynski; Simone Scardapane (NeurIPS, 2024)

NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks. - Matteo Gambella; Jary Pomponi; Simone Scardapane; Manuel Roveri (CoRR, 2024)

Adaptive Point Transformer. - Alessandro Baiocchi; Indro Spinelli; Alessandro Nicolosi; Simone Scardapane (CoRR, 2024)

Cascaded Scaling Classifier: class incremental learning with probability scaling. - Jary Pomponi; Alessio Devoto; Simone Scardapane (CoRR, 2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

Position Paper: Challenges and Opportunities in Topological Deep Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Liò; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (CoRR, 2024)

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

Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. - Alessio Devoto; Simone Petruzzi; Jary Pomponi; Paolo Di Lorenzo; Simone Scardapane (CoRR, 2024)

Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging. - Tommaso Torda; Andrea Ciardiello; Simona Gargiulo; Greta Grillo; Simone Scardapane; Cecilia Voena; Stefano Giagu (CoRR, 2024)

TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. - Lev Telyatnikov; Guillermo Bernárdez; Marco Montagna; Pavlo Vasylenko; Ghada Zamzmi; Mustafa Hajij; Michael T. Schaub; Nina Miolane; Simone Scardapane; Theodore Papamarkou (CoRR, 2024)

A Simple and Effective L2 Norm-Based Strategy for KV Cache Compression. - Alessio Devoto; Yu Zhao 043; Simone Scardapane; Pasquale Minervini (CoRR, 2024)

Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques. - Alessio Verdone; Alessio Devoto; Cristiano Sebastiani; Joseph Carmignani; Monica D'Onofrio; Stefano Giagu; Simone Scardapane; Massimo Panella (CoRR, 2024)

Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning. - Alessio Devoto; Federico Alvetreti; Jary Pomponi; Paolo Di Lorenzo; Pasquale Minervini; Simone Scardapane (CoRR, 2024)

Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes. - Marco Montagna; Simone Scardapane; Lev Telyatnikov (CoRR, 2024)

How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not. - Francesco Verdini; Pierfrancesco Melucci; Stefano Perna; Francesco Cariaggi; Marco Gaido; Sara Papi; Szymon Mazurek; Marek Kasztelnik; Luisa Bentivogli; Sébastien Bratières; Paolo Merialdo; Simone Scardapane (CoRR, 2024)

Interpreting Temporal Graph Neural Networks with Koopman Theory. - Michele Guerra; Simone Scardapane; Filippo Maria Bianchi (CoRR, 2024)

Conditional computation in neural networks: Principles and research trends. - Simone Scardapane; Alessandro Baiocchi; Alessio Devoto; Valerio Marsocci; Pasquale Minervini; Jary Pomponi (Intelligenza Artificiale, 2024)

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence. - Vikas Hassija; Vinay Chamola; Atmesh Mahapatra; Abhinandan Singal; Divyansh Goel; Kaizhu Huang; Simone Scardapane; Indro Spinelli; Mufti Mahmud; Amir Hussain 001 (Cogn. Comput., 2024)

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. - Siva Sai; Uday Mittal; Vinay Chamola; Kaizhu Huang; Indro Spinelli; Simone Scardapane; Zhiyuan Tan 001; Amir Hussain 001 (Cogn. Comput., 2024)

A Meta-Learning Approach for Training Explainable Graph Neural Networks. - Indro Spinelli; Simone Scardapane; Aurelio Uncini (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference. - Bartosz Wójcik; Alessio Devoto; Karol Pustelnik; Pasquale Minervini; Simone Scardapane (AAAI, 2025)

Task Singular Vectors: Reducing Task Interference in Model Merging. - Antonio Andrea Gargiulo; Donato Crisostomi; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Emanuele Rodolà (CVPR, 2025)

Class Incremental Learning with probability dampening and cascaded gated classifier. - Jary Pomponi; Alessio Devoto; Simone Scardapane (Neurocomputing, 2025)

Adaptive token selection for scalable point cloud transformers. - Alessandro Baiocchi; Indro Spinelli; Alessandro Nicolosi; Simone Scardapane (Neural Networks, 2025)

Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. - Lev Telyatnikov; Maria Sofia Bucarelli; Guillermo Bernárdez; Olga Zaghen; Simone Scardapane; Pietro Lio (Trans. Mach. Learn. Res., 2025)

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection. - Donatella Genovese; Alessandro Sgroi; Alessio Devoto; Samuel Valentine; Lennox Wood; Cristiano Sebastiani; Stefano Giagu; Monica D'Onofrio; Simone Scardapane (CoRR, 2025)

A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion. - Fabio Montello; Ronja Güldenring; Simone Scardapane; Lazaros Nalpantidis (CoRR, 2025)

Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression. - Nathan Godey; Alessio Devoto; Yu Zhao 043; Simone Scardapane; Pasquale Minervini; Éric de la Clergerie; Benoît Sagot (CoRR, 2025)

MASS: MoErging through Adaptive Subspace Selection. - Donato Crisostomi; Alessandro Zirilli; Antonio Andrea Gargiulo; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Iacopo Masi; Emanuele Rodolà (CoRR, 2025)

Adaptive Semantic Token Communication for Transformer-based Edge Inference. - Alessio Devoto; Jary Pomponi; Mattia Merluzzi; Paolo Di Lorenzo; Simone Scardapane (CoRR, 2025)

Interpretable Classification of Levantine Ceramic Thin Sections via Neural Networks. - Sara Capriotti; Alessio Devoto; Simone Scardapane; Silvano Mignardi; Laura Medeghini (CoRR, 2025)