Giambattista Parascandolo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
4
Active years
2016–2023
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | Predicting Ordinary Differential Equations with Transformers. | Sren Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus |
| 2021 | ICLR | A teacher-student framework to distill future trajectories. | Alexander Neitz, Giambattista Parascandolo, Bernhard Schlkopf |
| 2021 | ICLR | Learning explanations that are hard to vary. | Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schlkopf |
| 2021 | ICML | Neural Symbolic Regression that scales. | Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurlien Lucchi, Giambattista Parascandolo |
| 2018 | ICLR | Tempered Adversarial Networks. | Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schlkopf |
| 2018 | ICML | Learning Independent Causal Mechanisms. | Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla, Bernhard Schlkopf |
| 2018 | ICML | Tempered Adversarial Networks. | Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schlkopf |
| 2017 | IJCNN | A convolutional neural network approach for acoustic scene classification. | Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen |
| 2016 | ICASSP | Recurrent neural networks for polyphonic sound event detection in real life recordings. | Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen |