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4982 Publications

2023 | Thesis | IST-REx-ID: 13107 | OA
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 | Journal Article | IST-REx-ID: 12802 | OA
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
[Published Version] View | Files available | DOI | WoS
 
2023 | Preprint | IST-REx-ID: 13312 | OA
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
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2023 | Journal Article | IST-REx-ID: 14949 | OA
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 | Preprint | IST-REx-ID: 14946 | OA
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 | Preprint | IST-REx-ID: 14952 | OA
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 | Preprint | IST-REx-ID: 14948 | OA
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 | Preprint | IST-REx-ID: 14953 | OA
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 | Preprint | IST-REx-ID: 14954 | OA
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 | Preprint | IST-REx-ID: 14210 | OA
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 | Preprint | IST-REx-ID: 14207 | OA
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 | Preprint | IST-REx-ID: 14963 | OA
Zhao, Z., Wang, J., Horn, M., Ding, Y., He, T., Bai, Z., … Xiao, T. (n.d.). Object-centric multiple object tracking. arXiv. https://doi.org/10.48550/arXiv.2309.00233
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2023 | Preprint | IST-REx-ID: 14961 | OA
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 | Preprint | IST-REx-ID: 14962 | OA
Fan, K., Bai, Z., Xiao, T., Zietlow, D., Horn, M., Zhao, Z., … He, T. (n.d.). Unsupervised open-vocabulary object localization in videos. arXiv. https://doi.org/10.48550/arXiv.2309.09858
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2023 | Conference Paper | IST-REx-ID: 14958 | OA
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 | Conference Paper | IST-REx-ID: 14923 | OA
Fu, T., Liu, Y., Barbier, J., Mondelli, M., Liang, S., & Hou, T. (n.d.). Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. In Proceedings of 2023 IEEE International Symposium on Information Theory. Taipei, Taiwan: IEEE. https://doi.org/10.1109/isit54713.2023.10206671
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2023 | Journal Article | IST-REx-ID: 14466 | OA
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
[Published Version] View | Files available | DOI | WoS | arXiv
 
2023 | Journal Article | IST-REx-ID: 14687 | OA
Jethwa, R. B., Mondal, S., Pant, B., & Freunberger, S. A. (2023). To DISP or not? The far‐reaching reaction mechanisms underpinning Lithium‐air batteries. Angewandte Chemie International Edition. Wiley. https://doi.org/10.1002/anie.202316476
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2023 | Journal Article | IST-REx-ID: 14985 | OA
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 | Conference Paper | IST-REx-ID: 14989 | OA
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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