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5383 Publications

2022 | Published | Journal Article | IST-REx-ID: 11998 | OA
I. Cherepanov, G. Bighin, C. A. Schouder, A. S. Chatterley, H. Stapelfeldt, and M. Lemeshko, “A simple model for high rotational excitations of molecules in a superfluid,” New Journal of Physics, vol. 24, no. 7. IOP, 2022.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Conference Paper | IST-REx-ID: 12000 | OA
K. Chatterjee, A. K. Goharshady, T. Meggendorfer, and D. Zikelic, “Sound and complete certificates for auantitative termination analysis of probabilistic programs,” in Proceedings of the 34th International Conference on Computer Aided Verification, Haifa, Israel, 2022, vol. 13371, pp. 55–78.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Journal Article | IST-REx-ID: 12001 | OA
K. E. Hearn et al., “Differing associations between sex determination and sex-linked inversions in two ecotypes of Littorina saxatilis,” Evolution Letters, vol. 6, no. 5. Oxford Academic, pp. 358–374, 2022.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Journal Article | IST-REx-ID: 12009 | OA
D. W. Jia, T. P. Vogels, and R. P. Costa, “Developmental depression-to-facilitation shift controls excitation-inhibition balance,” Communications biology, vol. 5. Springer Nature, 2022.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Conference Paper | IST-REx-ID: 12011 | OA
Y. Zhang, S. Jaggi, M. Langberg, and A. D. Sarwate, “The capacity of causal adversarial channels,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2523–2528.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 12012 | OA
S. Torkamani, J. B. Ebrahimi, P. Sadeghi, R. G. L. D’Oliveira, and M. Médard, “Heterogeneous differential privacy via graphs,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 1623–1628.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 12013
P. Joshi, A. Purkayastha, Y. Zhang, A. J. Budkuley, and S. Jaggi, “On the capacity of additive AVCs with feedback,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 504–509.
View | DOI
 
2022 | Published | Conference Paper | IST-REx-ID: 12014
Y. Zhang and S. Vatedka, “List-decodability of Poisson Point Processes,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2559–2564.
View | DOI
 
2022 | Published | Conference Paper | IST-REx-ID: 12015
Y. Zhang and S. Vatedka, “Lower bounds for multiple packing,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 3085–3090.
View | DOI
 
2022 | Published | Conference Paper | IST-REx-ID: 12016 | OA
D. Fathollahi and M. Mondelli, “Polar coded computing: The role of the scaling exponent,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2154–2159.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 15268 | OA
R. A. Gisonno, T. Masson, N. A. Ramella, E. E. Barrera, V. Romanowski, and M. A. Tricerri, “Evolutionary and structural constraints influencing apolipoprotein A‐I amyloid behavior,” Proteins: Structure, Function, and Bioinformatics, vol. 90, no. 1. Wiley, pp. 258–269, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
2022 | Published | Conference Paper | IST-REx-ID: 13239 | OA
T. L. Van Der Plas, T. P. Vogels, and S. G. Manohar, “Predictive learning enables neural networks to learn complex working memory tasks,” in Proceedings of Machine Learning Research, 2022, vol. 199, pp. 518–531.
[Published Version] View | Files available
 
2022 | Published | Journal Article | IST-REx-ID: 13240 | OA
K. D. Ingole, N. Nagarajan, S. Uhse, C. Giannini, and A. Djamei, “Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis,” Frontiers in Fungal Biology, vol. 3. Frontiers Media, 2022.
[Published Version] View | Files available | DOI
 
2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
N. H. Konstantinov and C. Lampert, “On the impossibility of fairness-aware learning from corrupted data,” in Proceedings of Machine Learning Research, 2022, vol. 171, pp. 59–83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14093 | OA
G. Dresdner, M.-L. Vladarean, G. Rätsch, F. Locatello, V. Cevher, and A. Yurtsever, “ Faster one-sample stochastic conditional gradient method for composite convex minimization,” in Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, Virtual, 2022, vol. 151, pp. 8439–8457.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14107 | OA
J. Yao et al., “Self-supervised amodal video object segmentation,” in 36th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14114 | OA
D. Zietlow et al., “Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers,” in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, United States, 2022, pp. 10400–10411.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14168 | OA
N. Rahaman et al., “Neural attentive circuits,” in 36th Conference on Neural Information Processing Systems, New Orleans, United States, 2022, vol. 35.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Submitted | Conference Paper | IST-REx-ID: 14170 | OA
A. Dittadi, S. Papa, M. D. Vita, B. Schölkopf, O. Winther, and F. Locatello, “Generalization and robustness implications in object-centric learning,” in Proceedings of the 39th International Conference on Machine Learning, Baltimore, MD, United States, vol. 2022, pp. 5221–5285.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14171 | OA
P. Rolland et al., “Score matching enables causal discovery of nonlinear additive noise  models,” in Proceedings of the 39th International Conference on Machine Learning, Baltimore, MD, United States, 2022, vol. 162, pp. 18741–18753.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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