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5034 Publications
2023 | Journal Article | IST-REx-ID: 14949 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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: 14961 |
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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 | Conference Paper | IST-REx-ID: 14958 |
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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 |
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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 |
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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.
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2023 | Journal Article | IST-REx-ID: 14687 |
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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 |
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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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2023 | Conference Paper | IST-REx-ID: 14989 |
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Malvai, Harjasleen, et al. “Parakeet: Practical Key Transparency for End-to-End EEncrypted Messaging.” Proceedings of the 2023 Network and Distributed System Security Symposium, Internet Society, 2023, doi:10.14722/ndss.2023.24545.
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2023 | Conference Paper | IST-REx-ID: 14411 |
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Beneš, Nikola, et al. “Phenotype Control of Partially Specified Boolean Networks.” 21st International Conference on Computational Methods in Systems Biology, vol. 14137, Springer Nature, 2023, pp. 18–35, doi:10.1007/978-3-031-42697-1_2.
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2023 | Book Chapter | IST-REx-ID: 14992 |
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Lewin, Mathieu, et al. “Universal Functionals in Density Functional Theory.” Density Functional Theory, edited by Eric Cances and Gero Friesecke, 1st ed., Springer, 2023, pp. 115–82, doi:10.1007/978-3-031-22340-2_3.
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2023 | Journal Article | IST-REx-ID: 12675 |
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Becker, Lea Marie, et al. “The Rigid Core and Flexible Surface of Amyloid Fibrils Probed by Magic‐Angle Spinning NMR of Aromatic Residues.” Angewandte Chemie International Edition, vol. 62, no. 19, e202219314, Wiley, 2023, doi:10.1002/anie.202219314.
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2023 | Research Data | IST-REx-ID: 12497 |
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Becker, Lea Marie, and Paul Schanda. Research Data to: The Rigid Core and Flexible Surface of Amyloid Fibrils Probed by Magic-Angle-Spinning NMR Spectroscopy of Aromatic Residues. Institute of Science and Technology Austria, 2023, doi:10.15479/AT:ISTA:12497.
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2023 | Research Data | IST-REx-ID: 13126 |
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Danzl, Johann G. Research Data for the Publication “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.” Institute of Science and Technology Austria, 2023, doi:10.15479/AT:ISTA:13126.
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