Simone Scardapane
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
18
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Attention Sinks in Diffusion Language Models. | Maximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, Fabrizio Silvestri, Simone Scardapane, Alessio Devoto |
| 2025 | AAAI | Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference. | Bartosz Wjcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane |
| 2025 | CVPR | Task Singular Vectors: Reducing Task Interference in Model Merging. | Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodol |
| 2025 | IJCNN | Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes. | Marco Montagna, Simone Scardapane, Lev Telyatnikov |
| 2025 | Interspeech | 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, Sbastien Bratires, Paolo Merialdo, Simone Scardapane |
| 2024 | ACSSC | Goal-Oriented Communications Based on Recursive Early Exit Neural Networks. | Jary Pomponi, Mattia Merluzzi, Alessio Devoto, Mateus Pontes Mota, Paolo Di Lorenzo, Simone Scardapane |
| 2024 | EMNLP | A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression. | Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini |
| 2024 | GLOBECOM | Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. | Alessio Devoto, Jary Pomponi, Simone Petruzzi, Paolo Di Lorenzo, Simone Scardapane |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi |
| 2024 | IGARSS | Assessing the Adaptability of Self-Supervised Learning Methods for Small-Scale Hyperspectral Imaging. | Andrea Pot, Valerio Marsocci, Alessandro Nicolosi, Simone Scardapane |
| 2023 | AISTATS | EGG-GAE: scalable graph neural networks for tabular data imputation. | Lev Telyatnikov, Simone Scardapane |
| 2023 | CVPR | GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. | Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clment Mallet |
| 2023 | ESANN | Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. | Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane |
| 2023 | ICIAP | Convolutional Neural Networks for the Detection of Esca Disease Complex in Asymptomatic Grapevine Leaves. | Alberto Carraro, Gaetano Saurio, Ainara Lpez-Maestresalas, Simone Scardapane, Francesco Marinello |
| 2023 | ICIAP | ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo. | Gaetano Saurio, Marco Muscas, Indro Spinelli, Valerio Rughetti, Irma Della Giovampaola, Simone Scardapane |
| 2023 | IGARSS | Continual Self-Supervised Learning in Earth Observation with Embedding Regularization. | Hamna Moieez, Valerio Marsocci, Simone Scardapane |
| 2022 | BMVC | Towards Self-Supervised Gaze Estimation. | Arya Farkhondeh, Cristina Palmero, Simone Scardapane, Sergio Escalera |
| 2022 | ICIAP | Engagement Detection with Multi-Task Training in E-Learning Environments. | Onur opur, Mert Nakip, Simone Scardapane, Jrgen Slowack |
| 2022 | IJCNN | Pixle: a fast and effective black-box attack based on rearranging pixels. | Jary Pomponi, Simone Scardapane, Aurelio Uncini |
| 2022 | IJCNN | Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems. | Flaminia Spasiano, Gabriele Gennaro, Simone Scardapane |
| 2022 | IJCNN | Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. | Alessio Verdone, Simone Scardapane, Massimo Panella |
| 2021 | CVPR | 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, Keiland W. 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 |
| 2020 | ESANN | Frontiers in Reservoir Computing. | Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane |
| 2020 | ICASSP | Differentiable Branching In Deep Networks for Fast Inference. | Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini |
| 2019 | ACSSC | Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. | Paolo Di Lorenzo, Simone Scardapane |
| 2019 | ICASSP | Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. | Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini |
| 2019 | ICASSP | Widely Linear Kernels for Complex-valued Kernel Activation Functions. | Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini |
| 2018 | ESANN | Bidirectional deep-readout echo state networks. | Filippo Maria Bianchi, Simone Scardapane, Sigurd Lkse, Robert Jenssen |
| 2018 | ISCAS | Sparse functional link adaptive filter using an ℓ | Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini |
| 2017 | IJCNN | On the use of deep recurrent neural networks for detecting audio spoofing attacks. | Simone Scardapane, Lucas Stoffl, Florian Rhrbein, Aurelio Uncini |
| 2016 | IJCNN | Distributed spectral clustering based on Euclidean distance matrix completion. | Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini |
| 2015 | IJCNN | Functional link expansions for nonlinear modeling of audio and speech signals. | Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini |
| 2015 | IJCNN | Distributed music classification using Random Vector Functional-Link nets. | Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini |
| 2014 | CEC | GP-based kernel evolution for L2-Regularization Networks. | Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini |
| 2014 | IJCNN | An interpretable graph-based image classifier. | Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi |
| 2014 | IJCNN | An effective criterion for pruning reservoir's connections in Echo State Networks. | Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini |