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5258 Publications

2022 | Published | Conference Paper | IST-REx-ID: 12015
Zhang, Yihan, and Shashank Vatedka. “Lower Bounds for Multiple Packing.” 2022 IEEE International Symposium on Information Theory, vol. 2022, IEEE, 2022, pp. 3085–90, doi:10.1109/ISIT50566.2022.9834443.
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2022 | Published | Conference Paper | IST-REx-ID: 12016 | OA
Fathollahi, Dorsa, and Marco Mondelli. “Polar Coded Computing: The Role of the Scaling Exponent.” 2022 IEEE International Symposium on Information Theory, vol. 2022, IEEE, 2022, pp. 2154–59, doi:10.1109/ISIT50566.2022.9834712.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 15268 | OA
Gisonno, Romina A., et al. “Evolutionary and Structural Constraints Influencing Apolipoprotein A‐I Amyloid Behavior.” Proteins: Structure, Function, and Bioinformatics, vol. 90, no. 1, Wiley, 2022, pp. 258–69, doi:10.1002/prot.26217.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
2022 | Published | Conference Paper | IST-REx-ID: 13239 | OA
Van Der Plas, Thijs L., et al. “Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks.” Proceedings of Machine Learning Research, vol. 199, ML Research Press, 2022, pp. 518–31.
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2022 | Published | Journal Article | IST-REx-ID: 13240 | OA
Ingole, Kishor D., et al. “Tetracycline-Controlled (TetON) Gene Expression System for the Smut Fungus Ustilago Maydis.” Frontiers in Fungal Biology, vol. 3, 1029114, Frontiers Media, 2022, doi:10.3389/ffunb.2022.1029114.
[Published Version] View | Files available | DOI
 
2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov, Nikola H., and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” Proceedings of Machine Learning Research, vol. 171, ML Research Press, 2022, pp. 59–83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14093 | OA
Dresdner, Gideon, et al. “ Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.” Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, vol. 151, ML Research Press, 2022, pp. 8439–57.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14107 | OA
Yao, Jian, et al. “Self-Supervised Amodal Video Object Segmentation.” 36th Conference on Neural Information Processing Systems, 2022, doi:10.48550/arXiv.2210.12733.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14114 | OA
Zietlow, Dominik, et al. “Leveling down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 10400–11, doi:10.1109/cvpr52688.2022.01016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14168 | OA
Rahaman, Nasim, et al. “Neural Attentive Circuits.” 36th Conference on Neural Information Processing Systems, vol. 35, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Submitted | Conference Paper | IST-REx-ID: 14170 | OA
Dittadi, Andrea, et al. “Generalization and Robustness Implications in Object-Centric Learning.” Proceedings of the 39th International Conference on Machine Learning, vol. 2022, ML Research Press, pp. 5221–85.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14171 | OA
Rolland, Paul, et al. “Score Matching Enables Causal Discovery of Nonlinear Additive Noise  Models.” Proceedings of the 39th International Conference on Machine Learning, vol. 162, ML Research Press, 2022, pp. 18741–53.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14172 | OA
Schott, Lukas, et al. “Visual Representation Learning Does Not Generalize Strongly within the  Same Domain.” 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14173 | OA
Wenzel, Florian, et al. “Assaying Out-of-Distribution Generalization in Transfer Learning.” 36th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2022, pp. 7181–98.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14174 | OA
Dittadi, Andrea, et al. “The Role of Pretrained Representations for the OOD Generalization of  Reinforcement Learning Agents.” 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 14175 | OA
Makansi, Osama, et al. “You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.” 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Submitted | Conference Paper | IST-REx-ID: 14215 | OA
Rahaman, Nasim, et al. “A General Purpose Neural Architecture for Geospatial Systems.” 36th Conference on Neural Information Processing Systems.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Submitted | Preprint | IST-REx-ID: 14216 | OA
Norelli, Antonio, et al. “ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.” ArXiv, 2210.01738, doi:10.48550/arXiv.2210.01738.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 14381
Wagner, Uli. “High-Dimensional Expanders (after Gromov, Kaufman, Kazhdan, Lubotzky, and Others).” Bulletin de La Societe Mathematique de France, vol. 438, Societe Mathematique de France, 2022, pp. 281–94, doi:10.24033/ast.1188.
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2022 | Submitted | Preprint | IST-REx-ID: 14597 | OA
Fischer, Julian L., and Alice Marveggio. “Quantitative Convergence of the Vectorial Allen-Cahn Equation towards Multiphase Mean Curvature Flow.” ArXiv, doi:10.48550/ARXIV.2203.17143.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

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