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5784 Publications


2023 | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, Simone, Shayan Kiyani, and Marco Mondelli. “Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.” In Proceedings of the 40th International Conference on Machine Learning, 202:2738–76. ML Research Press, 2023.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14924 | OA
Wu, Diyuan, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” In Transactions on Machine Learning Research. ML Research Press, 2023.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2023 | Research Data Reference | IST-REx-ID: 14919 | OA
Shaw, Thomas, Pascal Buri, Michael McCarthy, Evan Miles, and Francesca Pellicciotti. “Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8277285.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2023 | Thesis | IST-REx-ID: 13107 | OA
Knaus, Lisa. “The Metabolism of the Developing Brain : How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:13107.
[Published Version] View | Files available | DOI
 

2023 | Journal Article | IST-REx-ID: 12802 | OA
Knaus, Lisa, Bernadette Basilico, Daniel Malzl, Maria Gerykova Bujalkova, Mateja Smogavec, Lena A. Schwarz, Sarah Gorkiewicz, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” Cell. Elsevier, 2023. https://doi.org/10.1016/j.cell.2023.02.037.
[Published Version] View | Files available | DOI | WoS
 

2023 | Preprint | IST-REx-ID: 13312 | OA
Valentini, Marco, Oliver Sagi, Levon Baghumyan, Thijs de Gijsel, Jason Jung, Stefano Calcaterra, Andrea Ballabio, et al. “Radio Frequency Driven Superconducting Diode and Parity Conserving  Cooper Pair Transport in a Two-Dimensional Germanium Hole Gas.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2306.07109.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2023 | Journal Article | IST-REx-ID: 14949 | OA
Burg, Max, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, and Chris Russell. “Image Retrieval Outperforms Diffusion Models on Data Augmentation.” Journal of Machine Learning Research. ML Research Press, 2023.
[Published Version] View | Files available | Download Published Version (ext.)
 

2023 | Preprint | IST-REx-ID: 14946 | OA
Yao, Dingling, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, and Francesco Locatello. “Multi-View Causal Representation Learning with Partial Observability.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2311.04056.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Preprint | IST-REx-ID: 14952 | OA
Maiorca, Valentino, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, and Emanuele Rodolà. “Latent Space Translation via Semantic Alignment.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2311.00664.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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