Irene Cannistraci

According to our database, Irene Cannistraci authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography.

Simon Böhi, Irene Cannistraci, Sergio Muñoz Gonzalez, Moritz Vandenhirtz, Sonia Laguna, Samuel Ruipérez-Campillo, Max Krähenmann, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E. Vogt

CoRR, April, 2026

Foundation Model for Cardiac Time Series via Masked Latent Attention.

Moritz Vandenhirtz, Samuel Ruipérez-Campillo, Simon Böhi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E. Vogt

CoRR, March, 2026

Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion.

Sonia Laguna, Jorge da Silva Goncalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt

CoRR, March, 2026

Structure is Supervision: Multiview Masked Autoencoders for Radiology.

Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruipérez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt

Trans. Mach. Learn. Res., 2026

You Only Train Once: Differentiable Subset Selection for Omics Data.

Daphné Chopard, Jorge da Silva Goncalves, Irene Cannistraci, Thomas M. Sutter, Julia E. Vogt

Trans. Mach. Learn. Res., 2026

TOAST: Transformer Optimization using Adaptive and Simple Transformations.

Irene Cannistraci, Simone Antonelli, Emanuele Palumbo, Thomas M. Sutter, Emanuele Rodolà, Bastian Rieck, Julia E. Vogt

Trans. Mach. Learn. Res., 2026

2025

Improving neural networks efficiency via representation similarities.

Irene Cannistraci

PhD thesis, 2025

2024

Lob-based deep learning models for stock price trend prediction: a benchmark study.

Matteo Prata, Giuseppe Masi, Leonardo Berti, Viviana Arrigoni, Andrea Coletta, Irene Cannistraci, Svitlana Vyetrenko, Paola Velardi, Novella Bartolini

Artif. Intell. Rev., May, 2024

Detecting and Approximating Redundant Computational Blocks in Neural Networks.

Irene Cannistraci, Emanuele Rodolà, Bastian Rieck

CoRR, 2024

MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms.

Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Emanuele Rodolà, Luciana Solito

Comput. Methods Programs Biomed., 2024

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.

Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

From charts to atlas: Merging latent spaces into one.

Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

Bootstrapping Parallel Anchors for Relative Representations.

Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Real-Time GAN-Based Model for Underwater Image Enhancement.

Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Damiano Distante, Gian Luca Foresti, Alessio Mecca, Ivan Scagnetto

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022

A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude.

Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Romeo Lanzino, Maurizio Mancini, Alessio Mecca, Daniele Pannone

Remote. Sens., 2022

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes.

Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentili, Giorgio Grani, Maurizio Lenzerini, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi

CoRR, 2022