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9084 Publications


2023 | Thesis | IST-REx-ID: 12900
Cavity quantum electrooptics
R. Sahu, Cavity Quantum Electrooptics, Institute of Science and Technology Austria, 2023.
[Published Version] View | Files available | DOI
 

2023 | Conference Paper | IST-REx-ID: 14242 | OA
Quantization-aware interval bound propagation for training certifiably robust quantized neural networks
M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–14973.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14243 | OA
Bidding graph games with partially-observable budgets
G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023, pp. 5464–5471.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14241 | OA
Stealth shaper: Reflectivity optimization as surface stylization
K. Tojo, A. Shamir, B. Bickel, N. Umetani, in:, SIGGRAPH 2023 Conference Proceedings, Association for Computing Machinery, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Journal Article | IST-REx-ID: 12562
Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons
D.R. Ladle, S. Hippenmeyer, Journal of Neurophysiology 129 (2023) 501–512.
View | DOI | WoS | PubMed | Europe PMC
 

2023 | Conference Paper | IST-REx-ID: 13310 | OA
Monitoring algorithmic fairness
T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, Computer Aided Verification, Springer Nature, 2023, pp. 358–382.
[Published Version] View | Files available | DOI | arXiv
 

2023 | Journal Article | IST-REx-ID: 12205 | OA
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
J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 35–45.
[Published Version] View | Files available | DOI | WoS
 

2023 | Journal Article | IST-REx-ID: 12115 | OA
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
J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 46–47.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS
 

2023 | Journal Article | IST-REx-ID: 14253 | OA
Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling
N.C. Vierra, L. Ribeiro-Silva, M. Kirmiz, D. Van Der List, P. Bhandari, O.A. Mack, J. Carroll, E. Le Monnier, S.A. Aicher, R. Shigemoto, J.S. Trimmer, Nature Communications 14 (2023).
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 

2023 | Conference Paper | IST-REx-ID: 14259 | OA
Guessing winning policies in LTL synthesis by semantic learning
J. Kretinsky, T. Meggendorfer, M. Prokop, S. Rieder, in:, 35th International Conference on Computer Aided Verification , Springer Nature, 2023, pp. 390–414.
[Published Version] View | Files available | DOI
 

2023 | Conference Paper | IST-REx-ID: 14105 | OA
TeST: Test-time Self-Training under distribution shift
S. Sinha, P. Gehler, F. Locatello, B. Schiele, in:, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision, Institute of Electrical and Electronics Engineers, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Journal Article | IST-REx-ID: 14256 | OA [Published Version] View | Files available | DOI | WoS | arXiv
 

2023 | Journal Article | IST-REx-ID: 14261 | OA [Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2023 | Conference Paper | IST-REx-ID: 14208 | OA
Benign overfitting in deep neural networks under lazy training
Z. Zhu, F. Liu, G.G. Chrysos, F. Locatello, V. Cevher, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 43105–43128.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Preprint | IST-REx-ID: 14209 | OA
A data augmentation perspective on diffusion models and retrieval
M.F. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell, ArXiv (n.d.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14211 | OA
Causal discovery with score matching on additive models with arbitrary noise
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14212 | OA
Scalable causal discovery with score matching
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14214 | OA
Causal triplet: An open challenge for intervention-centric causal representation learning
Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14217 | OA
Relative representations enable zero-shot latent space communication
L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà, in:, The 11th International Conference on Learning Representations, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14222 | OA
Unsupervised object learning via common fate
M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T. Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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