Simone Scardapane

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 158

Top Venues

Publications

Tommaso Torda, Andrea Ciardiello, Simona Gargiulo, Greta Grillo, Simone Scardapane, Cecilia Voena, Stefano Giagu
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging. CoRR (2024)
Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane
Adaptive Point Transformer. CoRR (2024)
Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence. Cogn. Comput. 16 (1) (2024)
Jary Pomponi, Alessio Devoto, Simone Scardapane
Cascaded Scaling Classifier: class incremental learning with probability scaling. CoRR (2024)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini
Norm-Based Strategy for KV Cache Compression. CoRR (2024)
Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi
Conditional computation in neural networks: principles and research trends. CoRR (2024)
Alessio Devoto, Simone Petruzzi, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane
Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. CoRR (2024)
Simone Scardapane
Alice's Adventures in a Differentiable Wonderland - Volume I, A Tour of the Land. CoRR (2024)
Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Pavlo Vasylenko, Ghada Zamzmi, Mustafa Hajij, Michael T. Schaub, Nina Miolane, Simone Scardapane, Theodore Papamarkou
TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. CoRR (2024)
Alessio Verdone, Alessio Devoto, Cristiano Sebastiani, Joseph Carmignani, Monica D'Onofrio, Stefano Giagu, Simone Scardapane, Massimo Panella
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques. CoRR (2024)
Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR (2024)
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, Mattia Merluzzi, Lanfranco Zanzi, Mauro Renato Boldi, Tony Q. S. Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. EuCNC/6G Summit (2024)
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. ICLR (2024)
Matteo Gambella, Jary Pomponi, Simone Scardapane, Manuel Roveri
NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks. CoRR (2024)
Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cogn. Comput. 16 (2) (2024)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
A Meta-Learning Approach for Training Explainable Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Leandro Maglianella, Lorenzo Nicoletti, Stefano Giagu, Christian Napoli, Simone Scardapane
Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition. Comput. Softw. Big Sci. 7 (1) (2023)
Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. ESANN (2023)
Valerio Marsocci, Simone Scardapane
Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Alessio Devoto, Indro Spinelli, Francesca Murabito, Fabrizio Chiovoloni, Riccardo Musmeci, Simone Scardapane
Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks. IEEE Trans. Ind. Informatics 19 (3) (2023)
Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. CoRR (2023)
Indro Spinelli, Riccardo Bianchini, Simone Scardapane
Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks. Neural Networks 167 (2023)
Alberto Carraro, Gaetano Saurio, Ainara López-Maestresalas, Simone Scardapane, Francesco Marinello
Convolutional Neural Networks for the Detection of Esca Disease Complex in Asymptomatic Grapevine Leaves. ICIAP Workshops (1) (2023)
Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
Learning Speech Emotion Representations in the Quaternion Domain. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Continual learning with invertible generative models. Neural Networks 164 (2023)
Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
Explainability in subgraphs-enhanced Graph Neural Networks. NLDL (2023)
Jary Pomponi, Daniele Dántoni, Nicolosi Alessandro, Simone Scardapane
Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models. IEEE Access 11 (2023)
Indro Spinelli, Riccardo Bianchini, Simone Scardapane
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks. CoRR (2023)
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference. CoRR (2023)
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, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML (2023)
Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. CVPR Workshops (2023)
Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
Probabilistic Load Forecasting With Reservoir Computing. IEEE Access 11 (2023)
Simone Ercolino, Alessio Devoto, Luca Monorchio, Matteo Santini, Silvio Mazzaro, Simone Scardapane
On the robustness of vision transformers for in-flight monocular depth estimation. Ind. Artif. Intell. 1 (1) (2023)
Lev Telyatnikov, Simone Scardapane
EGG-GAE: scalable graph neural networks for tabular data imputation. AISTATS (2023)
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Trans. Syst. Man Cybern. Syst. 53 (3) (2023)
Hamna Moieez, Valerio Marsocci, Simone Scardapane
Continual Self-Supervised Learning in Earth Observation with Embedding Regularization. IGARSS (2023)
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. CoRR (2023)
Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
Probabilistic load forecasting with Reservoir Computing. CoRR (2023)
Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano
Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. 15 (5) (2023)
Gaetano Saurio, Marco Muscas, Indro Spinelli, Valerio Rughetti, Irma Della Giovampaola, Simone Scardapane
ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo. ICIAP Workshops (1) (2023)
Tommaso Torda, Simona Gargiulo, Greta Grillo, Andrea Ciardiello, Cecilia Voena, Stefano Giagu, Simone Scardapane
Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach (SHORT PAPER). HC@AIxIA (2023)
Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. CoRR (2023)
Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. CoRR (2023)
Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane
Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library. Inf. Process. Manag. 59 (3) (2022)
Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane, Mattia Crespi
Inferring 3D change detection from bitemporal optical images. CoRR (2022)
Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
Learning Speech Emotion Representations in the Quaternion Domain. CoRR (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Centroids Matching: an efficient Continual Learning approach operating in the embedding space. Trans. Mach. Learn. Res. 2022 (2022)
Flaminia Spasiano, Gabriele Gennaro, Simone Scardapane
Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems. IJCNN (2022)
Arya Farkhondeh, Cristina Palmero, Simone Scardapane, Sergio Escalera
Towards Self-Supervised Gaze Estimation. BMVC (2022)
Lev Telyatnikov, Simone Scardapane
EGG-GAE: scalable graph neural networks for tabular data imputation. CoRR (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Pixle: a fast and effective black-box attack based on rearranging pixels. IJCNN (2022)
Onur Çopur, Mert Nakip, Simone Scardapane, Jürgen Slowack
Engagement Detection with Multi-Task Training in E-Learning Environments. CoRR (2022)
Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. IEEE Trans. Artif. Intell. 3 (3) (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models. Entropy 24 (1) (2022)
Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
Explainability in subgraphs-enhanced Graph Neural Networks. CoRR (2022)
Valerio Marsocci, Simone Scardapane
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation. CoRR (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Centroids Matching: an efficient Continual Learning approach operating in the embedding space. CoRR (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Pixle: a fast and effective black-box attack based on rearranging pixels. CoRR (2022)
Onur Çopur, Mert Nakip, Simone Scardapane, Jürgen Slowack
Engagement Detection with Multi-Task Training in E-Learning Environments. ICIAP (3) (2022)
Alessio Verdone, Simone Scardapane, Massimo Panella
Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. IJCNN (2022)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Continual Learning with Invertible Generative Models. CoRR (2022)
Arya Farkhondeh, Cristina Palmero, Simone Scardapane, Sergio Escalera
Towards Self-Supervised Gaze Estimation. CoRR (2022)
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, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. CoRR (2021)
Valerio Marsocci, Simone Scardapane, Nikos Komodakis
MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. Remote. Sens. 13 (16) (2021)
Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. CoRR (2021)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Structured Ensembles: An approach to reduce the memory footprint of ensemble methods. Neural Networks 144 (2021)
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
Distributed Training of Graph Convolutional Networks. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
A Meta-Learning Approach for Training Explainable Graph Neural Networks. CoRR (2021)
L. Lilli, Enrico Giarnieri, Simone Scardapane
A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells. Comput. Math. Methods Medicine 2021 (2021)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods. CoRR (2021)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Bayesian Neural Networks with Maximum Mean Discrepancy regularization. Neurocomputing 453 (2021)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Adaptive Propagation Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
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, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: an End-to-End Library for Continual Learning. CoRR (2021)
Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Differentiable Branching In Deep Networks for Fast Inference. ICASSP (2020)
Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications. Inf. Sci. 521 (2020)
Claudio Gallicchio, Simone Scardapane
Deep Randomized Neural Networks. CoRR (2020)
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
Efficient continual learning in neural networks with embedding regularization. Neurocomputing 397 (2020)
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Why Should We Add Early Exits to Neural Networks? Cogn. Comput. 12 (5) (2020)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Adaptive Propagation Graph Convolutional Network. CoRR (2020)
Michela Ricciardi Celsi, Simone Scardapane, Danilo Comminiello
Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments. MLSP (2020)
Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
Compressing deep-quaternion neural networks with targeted regularisation. CAAI Trans. Intell. Technol. 5 (3) (2020)
Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane
Frontiers in Reservoir Computing. ESANN (2020)
Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
Complex-Valued Neural Networks With Nonparametric Activation Functions. IEEE Trans. Emerg. Top. Comput. Intell. 4 (2) (2020)
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. EUSIPCO (2020)
Paolo Di Lorenzo, Simone Scardapane
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. CoRR (2020)
Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
Distributed Graph Convolutional Networks. CoRR (2020)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. CoRR (2020)
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Pseudo-Rehearsal for Continual Learning with Normalizing Flows. CoRR (2020)
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
Why should we add early exits to neural networks? CoRR (2020)
Simone Totaro, Amir Hussain, Simone Scardapane
A non-parametric softmax for improving neural attention in time-series forecasting. Neurocomputing 381 (2020)
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Missing data imputation with adversarially-trained graph convolutional networks. Neural Networks 129 (2020)
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
Efficient Continual Learning in Neural Networks with Embedding Regularization. CoRR (2019)
Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini
On the Stability and Generalization of Learning with Kernel Activation Functions. CoRR (2019)
Paolo Di Lorenzo, Simone Scardapane
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. ACSSC (2019)
Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo
Multikernel Activation Functions: Formulation and a Case Study. INNSBDDL (2019)
Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. ICASSP (2019)
Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini
Kafnets: Kernel-based non-parametric activation functions for neural networks. Neural Networks 110 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Simone Scardapane