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4839 Publications

2020 | Published | Journal Article | IST-REx-ID: 179 | OA
Browning TD, Heath Brown R. Density of rational points on a quadric bundle in ℙ3×ℙ3. Duke Mathematical Journal. 2020;169(16):3099-3165. doi:10.1215/00127094-2020-0031
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 14125 | OA
Stark SG et al. 2020. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 36(Supplement_2), i919–i927.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
2020 | Published | Conference Paper | IST-REx-ID: 14186 | OA
Locatello F, Bauer S, Lucic M, et al. A commentary on the unsupervised learning of disentangled representations. In: The 34th AAAI Conference on Artificial Intelligence. Vol 34. Association for the Advancement of Artificial Intelligence; 2020:13681-13684. doi:10.1609/aaai.v34i09.7120
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2020 | Published | Conference Paper | IST-REx-ID: 14187 | OA
Négiar G, Dresdner G, Tsai A, et al. Stochastic Frank-Wolfe for constrained finite-sum minimization. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ; 2020:7253-7262.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 14188 | OA
Locatello F, Poole B, Rätsch G, Schölkopf B, Bachem O, Tschannen M. Weakly-supervised disentanglement without compromises. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ; 2020:6348–6359.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 14195 | OA
Locatello F, Bauer S, Lucic M, et al. A sober look at the unsupervised learning of disentangled representations and their evaluation. Journal of Machine Learning Research. 2020;21.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 14326 | OA
Locatello F, Weissenborn D, Unterthiner T, et al. Object-centric learning with slot attention. In: Advances in Neural Information Processing Systems. Vol 33. Curran Associates; 2020:11525-11538.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Research Data | IST-REx-ID: 14592 | OA
Schur FK. STL-files for 3D-printed grid holders described in  Fäßler F, Zens B, et al.; 3D printed cell culture grid holders for improved cellular specimen preparation in cryo-electron microscopy. 2020. doi:10.15479/AT:ISTA:14592
[Published Version] View | Files available | DOI
 
2020 | Published | Journal Article | IST-REx-ID: 14694 | OA
Alt J, Erdös L, Krüger TH. The Dyson equation with linear self-energy: Spectral bands, edges and cusps. Documenta Mathematica. 2020;25:1421-1539. doi:10.4171/dm/780
[Published Version] View | Files available | DOI | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 5681 | OA
Hikaru I, Wojtan C, Thuerey N, Igarashi T, Ando R. Simulating liquids on dynamically warping grids. IEEE Transactions on Visualization and Computer Graphics. 2020;26(6):2288-2302. doi:10.1109/TVCG.2018.2883628
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2020 | Published | Journal Article | IST-REx-ID: 6184 | OA
Alt J, Erdös L, Krüger TH, Schröder DJ. Correlated random matrices: Band rigidity and edge universality. Annals of Probability. 2020;48(2):963-1001. doi:10.1214/19-AOP1379
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6185 | OA
Erdös L, Krüger TH, Schröder DJ. Cusp universality for random matrices I: Local law and the complex Hermitian case. Communications in Mathematical Physics. 2020;378:1203-1278. doi:10.1007/s00220-019-03657-4
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6358 | OA
Carlen EA, Maas J. Non-commutative calculus, optimal transport and functional inequalities  in dissipative quantum systems. Journal of Statistical Physics. 2020;178(2):319-378. doi:10.1007/s10955-019-02434-w
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6359 | OA
Dareiotis K, Gerencser M. On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift. Electronic Journal of Probability. 2020;25. doi:10.1214/20-EJP479
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6488 | OA
Cipolloni G, Erdös L. Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. Random Matrices: Theory and Application. 2020;9(3). doi:10.1142/S2010326320500069
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2020 | Published | Journal Article | IST-REx-ID: 6563 | OA
Filakovský M, Vokřínek L. Are two given maps homotopic? An algorithmic viewpoint. Foundations of Computational Mathematics. 2020;20:311-330. doi:10.1007/s10208-019-09419-x
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2020 | Published | Journal Article | IST-REx-ID: 6593 | OA
Shehu Y, Li X-H, Dong Q-L. An efficient projection-type method for monotone variational inequalities in Hilbert spaces. Numerical Algorithms. 2020;84:365-388. doi:10.1007/s11075-019-00758-y
[Submitted Version] View | Files available | DOI | WoS
 
2020 | Published | Journal Article | IST-REx-ID: 6649 | OA
Benedikter NP, Nam PT, Porta M, Schlein B, Seiringer R. Optimal upper bound for the correlation energy of a Fermi gas in the mean-field regime. Communications in Mathematical Physics. 2020;374:2097–2150. doi:10.1007/s00220-019-03505-5
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6748 | OA
Javanmard A, Mondelli M, Montanari A. Analysis of a two-layer neural network via displacement convexity. Annals of Statistics. 2020;48(6):3619-3642. doi:10.1214/20-AOS1945
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6761 | OA
Avni G, Henzinger TA, Kupferman O. Dynamic resource allocation games. Theoretical Computer Science. 2020;807:42-55. doi:10.1016/j.tcs.2019.06.031
[Submitted Version] View | Files available | DOI | WoS
 

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