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6436 Publications

2022 | Published | Thesis | PhD | IST-REx-ID: 11388 | OA
Belohlavy, Stefanie. “The Genetic Basis of Complex Traits Studied via Analysis of Evolve and Resequence Experiments.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11388.
[Published Version] View | Files available | DOI
 
2022 | Published | Journal Article | IST-REx-ID: 10208 | OA
Goudarzi, Samira, Mohammad Sharif, and Farid Karimipour. “A Context-Aware Dimension Reduction Framework for Trajectory and Health Signal Analyses.” Journal of Ambient Intelligence and Humanized Computing. Springer Nature, 2022. https://doi.org/10.1007/s12652-021-03569-z.
[Submitted Version] View | Files available | DOI | WoS
 
2022 | Published | Journal Article | IST-REx-ID: 10767 | OA
Kelemen, Réka K, Marwan N Elkrewi, Anna K. Lindholm, and Beatriz Vicoso. “Novel Patterns of Expression and Recruitment of New Genes on the T-Haplotype, a Mouse Selfish Chromosome.” Proceedings of the Royal Society B: Biological Sciences. The Royal Society, 2022. https://doi.org/10.1098/rspb.2021.1985.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, Alexander, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research. Journal of Machine Learning Research, 2022.
[Published Version] View | Files available | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 7577 | OA
Shehu, Yekini, and Olaniyi S. Iyiola. “Weak Convergence for Variational Inequalities with Inertial-Type Method.” Applicable Analysis. Taylor & Francis, 2022. https://doi.org/10.1080/00036811.2020.1736287.
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11452 | OA
Alimisis, Foivos, Peter Davies, Bart Vandereycken, and Dan-Adrian Alistarh. “Distributed Principal Component Analysis with Limited Communication.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 4:2823–34. Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11453 | OA
Braun, Lukas, and Tim P Vogels. “Online Learning of Neural Computations from Sparse Temporal Feedback.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 20:16437–50. Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Download Published Version (ext.)
 
2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
Krumes, Alexandra, Eugenia B Iofinova, Adrian Vladu, and Dan-Adrian Alistarh. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” In 35th Conference on Neural Information Processing Systems, 34:8557–70. Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11463 | OA
Frantar, Elias, Eldar Kurtic, and Dan-Adrian Alistarh. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” In 35th Conference on Neural Information Processing Systems, 34:14873–86. Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11464 | OA
Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” In 35th Conference on Neural Information Processing Systems, 34:7254–66. Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Draft | Preprint | IST-REx-ID: 12076 | OA
Shute, Alec L. “Sums of Four Squareful Numbers.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2104.06966.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2021 | Draft | Preprint | IST-REx-ID: 12077 | OA
Shute, Alec L. “On the Leading Constant in the Manin-Type Conjecture for Campana Points.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2104.14946.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 12186
Ding, Pingtao, Toshiyuki Sakai, Ram Krishna Shrestha, Nicolas Manosalva Perez, Wenbin Guo, Bruno Pok Man Ngou, Shengbo He, et al. “Chromatin Accessibility Landscapes Activated by Cell-Surface and Intracellular Immune Receptors.” Journal of Experimental Botany. Oxford University Press, 2021. https://doi.org/10.1093/jxb/erab373.
View | DOI | PubMed | Europe PMC
 
2021 | Published | Journal Article | IST-REx-ID: 12187 | OA
Long, Jincheng, James Walker, Wenjing She, Billy Aldridge, Hongbo Gao, Samuel Deans, Martin Vickers, and Xiaoqi Feng. “Nurse Cell-Derived Small RNAs Define Paternal Epigenetic Inheritance in Arabidopsis.” Science. American Association for the Advancement of Science, 2021. https://doi.org/10.1126/science.abh0556.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 
2021 | Published | Journal Article | IST-REx-ID: 14117 | OA
Scholkopf, Bernhard, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio. “Toward Causal Representation Learning.” Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/jproc.2021.3058954.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14176 | OA
Yèche, Hugo, Gideon Dresdner, Francesco Locatello, Matthias Hüser, and Gunnar Rätsch. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” In Proceedings of 38th International Conference on Machine Learning, 139:11964–74. ML Research Press, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14177 | OA
Träuble, Frederik, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, and Stefan Bauer. “On Disentangled Representations Learned from Correlated Data.” In Proceedings of the 38th International Conference on Machine Learning, 139:10401–12. ML Research Press, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14178 | OA
Dittadi, Andrea, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, and Bernhard Schölkopf. “On the Transfer of Disentangled Representations in Realistic Settings.” In The Ninth International Conference on Learning Representations, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14179 | OA
Kügelgen, Julius von, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, and Francesco Locatello. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” In Advances in Neural Information Processing Systems, 34:16451–67, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 14180 | OA
Rahaman, Nasim, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, and Bernhard Schölkopf. “Dynamic Inference with Neural Interpreters.” In Advances in Neural Information Processing Systems, 34:10985–98, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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