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9126 Publications


2022 | Conference Paper | IST-REx-ID: 14114 | OA
Zietlow, Dominik, Michael Lohaus, Guha Balakrishnan, Matthaus Kleindessner, Francesco Locatello, Bernhard Scholkopf, and Chris Russell. “Leveling down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.” In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 10400–411. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/cvpr52688.2022.01016.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14168 | OA
Rahaman, Nasim, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, and Nicolas Ballas. “Neural Attentive Circuits.” In 36th Conference on Neural Information Processing Systems, Vol. 35, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14170 | OA
Dittadi, Andrea, Samuele Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, and Francesco Locatello. “Generalization and Robustness Implications in Object-Centric Learning.” In Proceedings of the 39th International Conference on Machine Learning, 2022:5221–85. ML Research Press, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14172 | OA
Schott, Lukas, Julius von Kügelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, and Wieland Brendel. “Visual Representation Learning Does Not Generalize Strongly within the  Same Domain.” In 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14107 | OA
Yao, Jian, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David Wipf, Yanwei Fu, and Zheng Zhang. “Self-Supervised Amodal Video Object Segmentation.” In 36th Conference on Neural Information Processing Systems, 2022. https://doi.org/10.48550/arXiv.2210.12733.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14171 | OA
Rolland, Paul, Volkan Cevher, Matthäus Kleindessner, Chris Russel, Bernhard Schölkopf, Dominik Janzing, and Francesco Locatello. “Score Matching Enables Causal Discovery of Nonlinear Additive Noise  Models.” In Proceedings of the 39th International Conference on Machine Learning, 162:18741–53. ML Research Press, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14174 | OA
Dittadi, Andrea, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, and Stefan Bauer. “The Role of Pretrained Representations for the OOD Generalization of  Reinforcement Learning Agents.” In 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14175 | OA
Makansi, Osama, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, and Bernhard Schölkopf. “You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.” In 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Preprint | IST-REx-ID: 14220 | OA
Mambelli, Davide, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, and Francesco Locatello. “Compositional Multi-Object Reinforcement Learning with Linear Relation Networks.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2201.13388.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14215 | OA
Rahaman, Nasim, Martin Weiss, Frederik Träuble, Francesco Locatello, Alexandre Lacoste, Yoshua Bengio, Chris Pal, Li Erran Li, and Bernhard Schölkopf. “A General Purpose Neural Architecture for Geospatial Systems.” In 36th Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Preprint | IST-REx-ID: 12750 | OA
Brighi, Pietro, Marko Ljubotina, and Maksym Serbyn. “Hilbert Space Fragmentation and Slow Dynamics in Particle-Conserving Quantum East Models.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2210.15607.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2022 | Journal Article | IST-REx-ID: 14357 | OA
Boegershausen N, Krawczyk HE, Jamra RA, Lin S-J, Yigit G, Huening I, Polo AM, Vona B, Huang K, Schmidt J, Altmueller J, Luppe J, Platzer K, Doergeloh BB, Busche A, Biskup S, Mendes, I M, Smith DEC, Salomons GS, Zibat A, Bueltmann E, Nuernberg P, Spielmann M, Lemke JR, Li Y, Zenker M, Varshney GK, Hillen HS, Kratz CP, Wollnik B. 2022. WARS1 and SARS1: Two tRNA synthetases implicated in autosomal recessive microcephaly. Human Mutation. 43(10), 1454–1471.
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 

2022 | Journal Article | IST-REx-ID: 14355 | OA
Cali E, Lin S-J, Rocca C, Sahin Y, Al Shamsi A, El Chehadeh S, Chaabouni M, Mankad K, Galanaki E, Efthymiou S, Sudhakar S, Athanasiou-Fragkouli A, Celik T, Narli N, Bianca S, Murphy D, Moreira FMDC, Accogli A, Petree C, Huang K, Monastiri K, Edizadeh M, Nardello R, Ognibene M, De Marco P, Ruggieri M, Zara F, Striano P, Sahin Y, Al-Gazali L, Warde MTA, Gerard B, Zifarelli G, Beetz C, Fortuna S, Soler M, Valente EM, Varshney G, Maroofian R, Salpietro V, Houlden H, Grp SynS. 2022. A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease. Genetics in Medicine. 24(10), 2194–2203.
[Published Version] View | Files available | DOI
 

2022 | Journal Article | IST-REx-ID: 14356 | OA
Lin S-J, Vona B, Porter HM, Izadi M, Huang K, Lacassie Y, Rosenfeld JA, Khan S, Petree C, Ali TA, Muhammad N, Khan SA, Muhammad N, Liu P, Haymon M-L, Rueschendorf F, Kong I-K, Schnapp L, Shur N, Chorich L, Layman L, Haaf T, Pourkarimi E, Kim H-G, Varshney GK. 2022. Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome and implicate a critical exon for normal auditory function. Human Mutation. 43(10), 1472–1489.
[Published Version] View | Files available | DOI
 

2022 | Conference Paper | IST-REx-ID: 11185 | OA
Arroyo Guevara, Alan M, and Stefan Felsner. “Approximating the Bundled Crossing Number.” In WALCOM 2022: Algorithms and Computation, 13174:383–95. LNCS. Springer Nature, 2022. https://doi.org/10.1007/978-3-030-96731-4_31.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 12775 | OA
Grover, Kush, Jan Kretinsky, Tobias Meggendorfer, and Maimilian Weininger. “Anytime Guarantees for Reachability in Uncountable Markov Decision Processes.” In 33rd International Conference on Concurrency Theory , Vol. 243. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.CONCUR.2022.11.
[Published Version] View | Files available | DOI | arXiv
 

2022 | Journal Article | IST-REx-ID: 12510 | OA
Gruenbacher, Sophie A., Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A Henzinger, Scott A. Smolka, and Radu Grosu. “GoTube: Scalable Statistical Verification of Continuous-Depth Models.” Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i6.20631.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov, Nikola H, and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” Journal of Machine Learning Research. ML Research Press, 2022.
[Published Version] View | Files available | arXiv
 

2022 | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov, Nikola H, and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” In Proceedings of Machine Learning Research, 171:59–83. ML Research Press, 2022.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2022 | Journal Article | IST-REx-ID: 10566 | OA
Li, Mengyao, Yu Liu, Yu Zhang, Cheng Chang, Ting Zhang, Dawei Yang, Ke Xiao, Jordi Arbiol, Maria Ibáñez, and Andreu Cabot. “Room Temperature Aqueous-Based Synthesis of Copper-Doped Lead Sulfide Nanoparticles for Thermoelectric Application.” Chemical Engineering Journal. Elsevier, 2022. https://doi.org/10.1016/j.cej.2021.133837.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 

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