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9084 Publications


2023 | Thesis | IST-REx-ID: 12900
Sahu, Rishabh. “Cavity Quantum Electrooptics.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12900.
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2023 | Conference Paper | IST-REx-ID: 14242 | OA
Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, Thomas A Henzinger, and Daniela Rus. “Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks.” In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 37:14964–73. Association for the Advancement of Artificial Intelligence, 2023. https://doi.org/10.1609/aaai.v37i12.26747.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14243 | OA
Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Bidding Graph Games with Partially-Observable Budgets.” In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 37:5464–71, 2023. https://doi.org/10.1609/aaai.v37i5.25679.
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2023 | Conference Paper | IST-REx-ID: 14241 | OA
Tojo, Kenji, Ariel Shamir, Bernd Bickel, and Nobuyuki Umetani. “Stealth Shaper: Reflectivity Optimization as Surface Stylization.” In SIGGRAPH 2023 Conference Proceedings. Association for Computing Machinery, 2023. https://doi.org/10.1145/3588432.3591542.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Journal Article | IST-REx-ID: 12562
Ladle, David R., and Simon Hippenmeyer. “Loss of ETV1/ER81 in Motor Neurons Leads to Reduced Monosynaptic Inputs from Proprioceptive Sensory Neurons.” Journal of Neurophysiology. American Physiological Society, 2023. https://doi.org/10.1152/jn.00172.2022.
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2023 | Conference Paper | IST-REx-ID: 13310 | OA
Henzinger, Thomas A, Mahyar Karimi, Konstantin Kueffner, and Kaushik Mallik. “Monitoring Algorithmic Fairness.” In Computer Aided Verification, 13965:358–382. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37703-7_17.
[Published Version] View | Files available | DOI | arXiv
 

2023 | Journal Article | IST-REx-ID: 12205 | OA
Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote, Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer: A Multicenter Retrospective Study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) Consortium.” Annals of Surgical Oncology. Springer Nature, 2023. https://doi.org/10.1245/s10434-022-12459-3.
[Published Version] View | Files available | DOI | WoS
 

2023 | Journal Article | IST-REx-ID: 12115 | OA
Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote, Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “ASO Visual Abstract: Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome, and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer (HGSOC). A Multicenter, Retrospective Study of the Ovarian Cancer Therapy—Innovative Models Prolong Survival (OCTIPS) Consortium.” Annals of Surgical Oncology. Springer Nature, 2023. https://doi.org/10.1245/s10434-022-12681-z.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS
 

2023 | Journal Article | IST-REx-ID: 14253 | OA
Vierra, Nicholas C., Luisa Ribeiro-Silva, Michael Kirmiz, Deborah Van Der List, Pradeep Bhandari, Olivia A. Mack, James Carroll, et al. “Neuronal ER-Plasma Membrane Junctions Couple Excitation to Ca2+-Activated PKA Signaling.” Nature Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-40930-6.
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 

2023 | Conference Paper | IST-REx-ID: 14259 | OA
Kretinsky, Jan, Tobias Meggendorfer, Maximilian Prokop, and Sabine Rieder. “Guessing Winning Policies in LTL Synthesis by Semantic Learning.” In 35th International Conference on Computer Aided Verification , 13964:390–414. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37706-8_20.
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2023 | Conference Paper | IST-REx-ID: 14105 | OA
Sinha, Samarth, Peter Gehler, Francesco Locatello, and Bernt Schiele. “TeST: Test-Time Self-Training under Distribution Shift.” In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/wacv56688.2023.00278.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Journal Article | IST-REx-ID: 14256 | OA
Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” Astronomy and Astrophysics. EDP Sciences, 2023. https://doi.org/10.1051/0004-6361/202346832.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2023 | Journal Article | IST-REx-ID: 14261 | OA
Gamper, Jakob, Florian Kluibenschedl, Alexander K.H. Weiss, and Thomas S. Hofer. “Accessing Position Space Wave Functions in Band Structure Calculations of Periodic Systems - a Generalized, Adapted Numerov Implementation for One-, Two-, and Three-Dimensional Quantum Problems.” Journal of Physical Chemistry Letters. American Chemical Society, 2023. https://doi.org/10.1021/acs.jpclett.3c01707.
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2023 | Conference Paper | IST-REx-ID: 14208 | OA
Zhu, Zhenyu, Fanghui Liu, Grigorios G Chrysos, Francesco Locatello, and Volkan Cevher. “Benign Overfitting in Deep Neural Networks under Lazy Training.” In Proceedings of the 40th International Conference on Machine Learning, 202:43105–28. ML Research Press, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Preprint | IST-REx-ID: 14209 | OA
Burg, Max F., Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, and Chris Russell. “A Data Augmentation Perspective on Diffusion Models and Retrieval.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2304.10253.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14211 | OA
Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and Francesco Locatello. “Causal Discovery with Score Matching on Additive Models with Arbitrary Noise.” In 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Conference Paper | IST-REx-ID: 14212 | OA
Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and Francesco Locatello. “Scalable Causal Discovery with Score Matching.” In 2nd Conference on Causal Learning and Reasoning, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14214 | OA
Liu, Yuejiang, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, and Francesco Locatello. “Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning.” In 2nd Conference on Causal Learning and Reasoning, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14217 | OA
Moschella, Luca, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, and Emanuele Rodolà. “Relative Representations Enable Zero-Shot Latent Space Communication.” In The 11th International Conference on Learning Representations, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14222 | OA
Tangemann, Matthias, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, and Bernhard Schölkopf. “Unsupervised Object Learning via Common Fate.” In 2nd Conference on Causal Learning and Reasoning, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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