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9101 Publications


2023 | Research Data Reference | IST-REx-ID: 14919 | OA
Shaw, Thomas, et al. Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer. Zenodo, 2023, doi:10.5281/ZENODO.8277285.
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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, doi:10.15479/at:ista:13107.
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2023 | Journal Article | IST-REx-ID: 12802 | OA
Knaus, Lisa, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” Cell, vol. 186, no. 9, Elsevier, 2023, p. 1950–1967.e25, doi:10.1016/j.cell.2023.02.037.
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2023 | Preprint | IST-REx-ID: 13312 | OA
Valentini, Marco, et al. “Radio Frequency Driven Superconducting Diode and Parity Conserving  Cooper Pair Transport in a Two-Dimensional Germanium Hole Gas.” ArXiv, 2306.07109, doi:10.48550/arXiv.2306.07109.
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2023 | Journal Article | IST-REx-ID: 14949 | OA
Burg, Max, et al. “Image Retrieval Outperforms Diffusion Models on Data Augmentation.” Journal of Machine Learning Research, ML Research Press, 2023.
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2023 | Preprint | IST-REx-ID: 14946 | OA
Yao, Dingling, et al. “Multi-View Causal Representation Learning with Partial Observability.” ArXiv, 2311.04056, doi:10.48550/arXiv.2311.04056.
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2023 | Preprint | IST-REx-ID: 14952 | OA
Maiorca, Valentino, et al. “Latent Space Translation via Semantic Alignment.” ArXiv, 2311.00664, doi:10.48550/arXiv.2311.00664.
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2023 | Preprint | IST-REx-ID: 14948 | OA
Kori, Avinash, et al. “Grounded Object Centric Learning.” ArXiv, 2307.09437, doi:10.48550/arXiv.2307.09437.
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2023 | Preprint | IST-REx-ID: 14953 | OA
Zhu, Zhenyu, et al. “Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.” ArXiv, 2310.18123, doi:10.48550/arXiv.2310.18123.
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2023 | Preprint | IST-REx-ID: 14954 | OA
Montagna, Francesco, et al. “Assumption Violations in Causal Discovery and the Robustness of Score Matching.” ArXiv, 2310.13387, doi:10.48550/arXiv.2310.13387.
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2023 | Preprint | IST-REx-ID: 14210 | OA
Fumero, Marco, et al. “Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning.” ArXiv, 2304.07939, doi:10.48550/arXiv.2304.07939.
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2023 | Preprint | IST-REx-ID: 14207 | OA
Löwe, Sindy, et al. “Rotating Features for Object Discovery.” ArXiv, 2306.00600, doi:10.48550/arXiv.2306.00600.
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2023 | Preprint | IST-REx-ID: 14963 | OA
Zhao, Zixu, et al. “Object-Centric Multiple Object Tracking.” ArXiv, 2309.00233, doi:10.48550/arXiv.2309.00233.
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2023 | Preprint | IST-REx-ID: 14961 | OA
Montagna, Francesco, et al. “Shortcuts for Causal Discovery of Nonlinear Models by Score Matching.” ArXiv, 2310.14246, doi:10.48550/arXiv.2310.14246.
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2023 | Preprint | IST-REx-ID: 14962 | OA
Fan, Ke, et al. “Unsupervised Open-Vocabulary Object Localization in Videos.” ArXiv, 2309.09858, doi:10.48550/arXiv.2309.09858.
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2023 | Conference Paper | IST-REx-ID: 14958 | OA
Xu, Danru, et al. “A Sparsity Principle for Partially Observable Causal Representation Learning.” Causal Representation Learning Workshop at NeurIPS 2023, 54, OpenReview, 2023.
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2023 | Conference Paper | IST-REx-ID: 14923 | OA
Fu, Teng, et al. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, doi:10.1109/isit54713.2023.10206671.
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2023 | Journal Article | IST-REx-ID: 14466 | OA
Marensi, Elena, et al. “Dynamics and Proliferation of Turbulent Stripes in Plane-Poiseuille and Plane-Couette Flows.” Journal of Fluid Mechanics, vol. 974, A21, Cambridge University Press, 2023, doi:10.1017/jfm.2023.780.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2023 | Journal Article | IST-REx-ID: 14687 | OA
Jethwa, Rajesh B., et al. “To DISP or Not? The Far‐reaching Reaction Mechanisms Underpinning Lithium‐air Batteries.” Angewandte Chemie International Edition, e202316476, Wiley, 2023, doi:10.1002/anie.202316476.
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2023 | Journal Article | IST-REx-ID: 14985 | OA
Liu, Zhengtao, et al. “Lattice Expansion Enables Interstitial Doping to Achieve a High Average ZT in N‐type PbS.” Interdisciplinary Materials, vol. 2, no. 1, Wiley, 2023, pp. 161–70, doi:10.1002/idm2.12056.
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