Hakutulokset - Scardapane, Simone

Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land Tekijä Scardapane, Simone

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Deep Randomized Neural Networks Tekijä Gallicchio, Claudio, Scardapane, Simone

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Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation Tekijä Marsocci, Valerio, Scardapane, Simone

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EGG-GAE: scalable graph neural networks for tabular data imputation Tekijä Telyatnikov, Lev, Scardapane, Simone

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Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation Tekijä Di Lorenzo, Paolo, Scardapane, Simone

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Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Tekijä Spinelli, Indro, Scardapane, Simone, Uncini, Aurelio

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Adaptive Propagation Graph Convolutional Network Tekijä Spinelli, Indro, Scardapane, Simone, Uncini, Aurelio

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Bayesian Neural Networks With Maximum Mean Discrepancy Regularization Tekijä Pomponi, Jary, Scardapane, Simone, Uncini, Aurelio

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Pseudo-Rehearsal for Continual Learning with Normalizing Flows Tekijä Pomponi, Jary, Scardapane, Simone, Uncini, Aurelio

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Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Tekijä Pomponi, Jary, Scardapane, Simone, Uncini, Aurelio

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A Meta-Learning Approach for Training Explainable Graph Neural Networks Tekijä Spinelli, Indro, Scardapane, Simone, Uncini, Aurelio

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Pixle: a fast and effective black-box attack based on rearranging pixels Tekijä Pomponi, Jary, Scardapane, Simone, Uncini, Aurelio

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Continual Learning with Invertible Generative Models Tekijä Pomponi, Jary, Scardapane, Simone, Uncini, Aurelio

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Centroids Matching: an efficient Continual Learning approach operating in the embedding space Tekijä Pomponi, Jary, Scardapane, Simone, Uncini, Aurelio

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Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Tekijä Spinelli, Indro, Bianchini, Riccardo, Scardapane, Simone

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Class incremental learning with probability dampening and cascaded gated classifier Tekijä Pomponi, Jary, Devoto, Alessio, Scardapane, Simone

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Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes Tekijä Montagna, Marco, Scardapane, Simone, Telyatnikov, Lev

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Distributed Training of Graph Convolutional Networks Tekijä Scardapane, Simone, Spinelli, Indro, Di Lorenzo, Paolo

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Probabilistic load forecasting with Reservoir Computing Tekijä Guerra, Michele, Scardapane, Simone, Bianchi, Filippo Maria

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Interpreting Temporal Graph Neural Networks with Koopman Theory Tekijä Guerra, Michele, Scardapane, Simone, Bianchi, Filippo Maria

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