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5145 Publications
2023 | Research Data Reference | IST-REx-ID: 14919 |
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Shaw, T., Buri, P., McCarthy, M., Miles, E., & Pellicciotti, F. (2023). Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. Zenodo. https://doi.org/10.5281/ZENODO.8277285
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2023 |Published| Thesis | IST-REx-ID: 13107 |
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Knaus, L. (2023). The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:13107
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2023 |Published| Journal Article | IST-REx-ID: 12802 |
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Knaus, L., Basilico, B., Malzl, D., Gerykova Bujalkova, M., Smogavec, M., Schwarz, L. A., … Novarino, G. (2023). Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. Elsevier. https://doi.org/10.1016/j.cell.2023.02.037
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2023 |Submitted| Preprint | IST-REx-ID: 13312 |
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Valentini, M., Sagi, O., Baghumyan, L., Gijsel, T. de, Jung, J., Calcaterra, S., … Katsaros, G. (n.d.). Radio frequency driven superconducting diode and parity conserving Cooper pair transport in a two-dimensional germanium hole gas. arXiv. https://doi.org/10.48550/arXiv.2306.07109
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2023 |Published| Journal Article | IST-REx-ID: 14949 |
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Burg, M., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F., & Russell, C. (2023). Image retrieval outperforms diffusion models on data augmentation. Journal of Machine Learning Research. ML Research Press.
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2023 |Submitted| Preprint | IST-REx-ID: 14946 |
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Yao, D., Xu, D., Lachapelle, S., Magliacane, S., Taslakian, P., Martius, G., … Locatello, F. (n.d.). Multi-view causal representation learning with partial observability. arXiv. https://doi.org/10.48550/arXiv.2311.04056
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2023 |Submitted| Preprint | IST-REx-ID: 14952 |
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Maiorca, V., Moschella, L., Norelli, A., Fumero, M., Locatello, F., & Rodolà, E. (n.d.). Latent space translation via semantic alignment. arXiv. https://doi.org/10.48550/arXiv.2311.00664
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2023 |Submitted| Preprint | IST-REx-ID: 14948 |
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Kori, A., Locatello, F., Ribeiro, F. D. S., Toni, F., & Glocker, B. (n.d.). Grounded object centric learning. arXiv. https://doi.org/10.48550/arXiv.2307.09437
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2023 |Submitted| Preprint | IST-REx-ID: 14953 |
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Zhu, Z., Locatello, F., & Cevher, V. (n.d.). Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv. https://doi.org/10.48550/arXiv.2310.18123
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2023 |Submitted| Preprint | IST-REx-ID: 14954 |
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Montagna, F., Mastakouri, A. A., Eulig, E., Noceti, N., Rosasco, L., Janzing, D., … Locatello, F. (n.d.). Assumption violations in causal discovery and the robustness of score matching. arXiv. https://doi.org/10.48550/arXiv.2310.13387
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2023 |Submitted| Preprint | IST-REx-ID: 14210 |
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Fumero, M., Wenzel, F., Zancato, L., Achille, A., Rodolà, E., Soatto, S., … Locatello, F. (n.d.). Leveraging sparse and shared feature activations for disentangled representation learning. arXiv. https://doi.org/10.48550/arXiv.2304.07939
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2023 |Submitted| Preprint | IST-REx-ID: 14207 |
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Löwe, S., Lippe, P., Locatello, F., & Welling, M. (n.d.). Rotating features for object discovery. arXiv. https://doi.org/10.48550/arXiv.2306.00600
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2023 |Submitted| Preprint | IST-REx-ID: 14961 |
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Montagna, F., Noceti, N., Rosasco, L., & Locatello, F. (n.d.). Shortcuts for causal discovery of nonlinear models by score matching. arXiv. https://doi.org/10.48550/arXiv.2310.14246
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2023 |Published| Conference Paper | IST-REx-ID: 14958 |
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Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., & Magliacane, S. (2023). A sparsity principle for partially observable causal representation learning. In Causal Representation Learning Workshop at NeurIPS 2023. New Orleans, LA, United States: OpenReview.
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2023 |Published| Journal Article | IST-REx-ID: 14466 |
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Marensi, E., Yalniz, G., & Hof, B. (2023). Dynamics and proliferation of turbulent stripes in plane-Poiseuille and plane-Couette flows. Journal of Fluid Mechanics. Cambridge University Press. https://doi.org/10.1017/jfm.2023.780
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2023 |Published| Journal Article | IST-REx-ID: 14985 |
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Liu, Z., Hong, T., Xu, L., Wang, S., Gao, X., Chang, C., … Zhao, L. (2023). Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS. Interdisciplinary Materials. Wiley. https://doi.org/10.1002/idm2.12056
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2023 |Published| Conference Paper | IST-REx-ID: 14989 |
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Malvai, H., Kokoris Kogias, E., Sonnino, A., Ghosh, E., Oztürk, E., Lewi, K., & Lawlor, S. (2023). Parakeet: Practical key transparency for end-to-end eEncrypted messaging. In Proceedings of the 2023 Network and Distributed System Security Symposium. San Diego, CA, United States: Internet Society. https://doi.org/10.14722/ndss.2023.24545
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2023 |Published| Conference Paper | IST-REx-ID: 14411 |
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Beneš, N., Brim, L., Pastva, S., Šafránek, D., & Šmijáková, E. (2023). Phenotype control of partially specified boolean networks. In 21st International Conference on Computational Methods in Systems Biology (Vol. 14137, pp. 18–35). Luxembourg City, Luxembourg: Springer Nature. https://doi.org/10.1007/978-3-031-42697-1_2
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2023 |Published| Book Chapter | IST-REx-ID: 14992 |
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Lewin, M., Lieb, E. H., & Seiringer, R. (2023). Universal Functionals in Density Functional Theory. In E. Cances & G. Friesecke (Eds.), Density Functional Theory (1st ed., pp. 115–182). Springer. https://doi.org/10.1007/978-3-031-22340-2_3
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2023 |Published| Journal Article | IST-REx-ID: 12675 |
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Becker, L. M., Berbon, M., Vallet, A., Grelard, A., Morvan, E., Bardiaux, B., … Schanda, P. (2023). The rigid core and flexible surface of amyloid fibrils probed by Magic‐Angle Spinning NMR of aromatic residues. Angewandte Chemie International Edition. Wiley. https://doi.org/10.1002/anie.202219314
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