Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
5767 Publications
2023 | Journal Article | IST-REx-ID: 14401 | 
Maes, Margaret E, Ryan J. Donahue, Cassandra L. Schlamp, Olivia J. Marola, Richard T. Libby, and Robert W. Nickells. “BAX Activation in Mouse Retinal Ganglion Cells Occurs in Two Temporally and Mechanistically Distinct Steps.” Molecular Neurodegeneration. Springer Nature, 2023. https://doi.org/10.1186/s13024-023-00659-8.
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
2023 | Journal Article | IST-REx-ID: 14489 |
Fan, Zhi Yuan, Liu Qiu, Simon Gröblacher, and Jie Li. “Microwave-Optics Entanglement via Cavity Optomagnomechanics.” Laser and Photonics Reviews. Wiley, 2023. https://doi.org/10.1002/lpor.202200866.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2023 | Journal Article | IST-REx-ID: 13097 |
Wilson, Alexia C, and Lora B. Sweeney. “Spinal Cords: Symphonies of Interneurons across Species.” Frontiers in Neural Circuits. Frontiers, 2023. https://doi.org/10.3389/fncir.2023.1146449.
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
2023 | Conference Abstract | IST-REx-ID: 14865 |
Hwong, Yi-Ling, Maxime Colin, Philipp Aglas, Caroline J Muller, and Steven Sherwood. “Evaluating Memory Properties in Convection Schemes Using Idealised Tests.” In EGU General Assembly 2023. European Geosciences Union, 2023. https://doi.org/10.5194/egusphere-egu23-4968.
[Published Version]
View
| Files available
| DOI
2023 | Conference Abstract | IST-REx-ID: 14866 |
Abramian, Sophie, Caroline J Muller, and Camille Risi. “Extreme Precipitation in Tropical Squall Lines.” In EGU General Assembly 2023. European Geosciences Union, 2023. https://doi.org/10.5194/egusphere-egu23-15870.
[Published Version]
View
| Files available
| DOI
2023 | Journal Article | IST-REx-ID: 14920 |
Banerjee, Tamajit, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, and Sadegh Soudjani. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.” TheoretiCS. EPI Sciences, 2023. https://doi.org/10.46298/theoretics.23.4.
[Published Version]
View
| Files available
| DOI
| arXiv
2023 | Conference Paper | IST-REx-ID: 12859 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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
2023 | Preprint | IST-REx-ID: 14948 |
Kori, Avinash, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, and Ben Glocker. “Grounded Object Centric Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2307.09437.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2023 | Preprint | IST-REx-ID: 14953 |
Zhu, Zhenyu, Francesco Locatello, and Volkan Cevher. “Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2310.18123.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2023 | Preprint | IST-REx-ID: 14954 |
Montagna, Francesco, Atalanti A. Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, and Francesco Locatello. “Assumption Violations in Causal Discovery and the Robustness of Score Matching.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2310.13387.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2023 | Preprint | IST-REx-ID: 14210 |
Fumero, Marco, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, and Francesco Locatello. “Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2304.07939.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv