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10501 Publications


2022 | Published | Journal Article | IST-REx-ID: 13991
Probing topological phase transitions using high-harmonic generation
C. Heide, Y. Kobayashi, D.R. Baykusheva, D. Jain, J.A. Sobota, M. Hashimoto, P.S. Kirchmann, S. Oh, T.F. Heinz, D.A. Reis, S. Ghimire, Nature Photonics 16 (2022) 620–624.
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2022 | Published | Journal Article | IST-REx-ID: 13992 | OA
Femtosecond photoelectron circular dichroism of chemical reactions
V. Svoboda, N.B. Ram, D.R. Baykusheva, D. Zindel, M.D.J. Waters, B. Spenger, M. Ochsner, H. Herburger, J. Stohner, H.J. Wörner, Science Advances 8 (2022).
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 13993 | OA
Attosecond photoionization dynamics: from molecules over clusters to the liquid phase
X. Gong, I. Jordan, M. Huppert, S. Heck, D.R. Baykusheva, D. Jelovina, A. Schild, H.J. Wörner, Chimia 76 (2022) 520–528.
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2022 | Published | Journal Article | IST-REx-ID: 13994 | OA
Ultrafast renormalization of the on-site Coulomb repulsion in a cuprate superconductor
D.R. Baykusheva, H. Jang, A.A. Husain, S. Lee, S.F.R. TenHuisen, P. Zhou, S. Park, H. Kim, J.-K. Kim, H.-D. Kim, M. Kim, S.-Y. Park, P. Abbamonte, B.J. Kim, G.D. Gu, Y. Wang, M. Mitrano, Physical Review X 12 (2022).
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14093 | OA
Faster one-sample stochastic conditional gradient method for composite convex minimization
G. Dresdner, M.-L. Vladarean, G. Rätsch, F. Locatello, V. Cevher, A. Yurtsever, in:, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, ML Research Press, 2022, pp. 8439–8457.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 14098 | OA
The effects of surface fossil magnetic fields on massive star evolution: IV. Grids of models at solar, LMC, and SMC metallicities
Z. Keszthelyi, A. de Koter, Y.L.L. Götberg, G. Meynet, S.A. Brands, V. Petit, M. Carrington, A.D.-U. A. David-Uraz, S.T. Geen, C. Georgy, R. Hirschi, J. Puls, K.J. Ramalatswa, M.E. Shultz, A. ud-Doula A. ud-Doula, Monthly Notices of the Royal Astronomical Society 517 (2022) 2028–2055.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2022 | Submitted | Preprint | IST-REx-ID: 14099 | OA
Spin-down and reduced mass loss in early-type stars with large-scale magnetic fields
Z. Keszthelyi, A. de Koter, Y.L.L. Götberg, G. Meynet, S.A. Brands, V. Petit, M. Carrington, A.D.-U. A. David-Uraz, S.T. Geen, C. Georgy, R. Hirschi, J. Puls, K.J. Ramalatswa, M.E. Shultz, A. ud-Doula A. ud-Doula, ArXiv (n.d.).
[Submitted Version] View | DOI | Download Submitted Version (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14106 | OA
Are two heads the same as one? Identifying disparate treatment in fair neural networks
M. Lohaus, M. Kleindessner, K. Kenthapadi, F. Locatello, C. Russell, in:, 36th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2022, pp. 16548–16562.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14107 | OA
Self-supervised amodal video object segmentation
J. Yao, Y. Hong, C. Wang, T. Xiao, T. He, F. Locatello, D. Wipf, Y. Fu, Z. Zhang, in:, 36th Conference on Neural Information Processing Systems, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14114 | OA
Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers
D. Zietlow, M. Lohaus, G. Balakrishnan, M. Kleindessner, F. Locatello, B. Scholkopf, C. Russell, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 10400–10411.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14168 | OA
Neural attentive circuits
N. Rahaman, M. Weiss, F. Locatello, C. Pal, Y. Bengio, B. Schölkopf, L.E. Li, N. Ballas, in:, 36th Conference on Neural Information Processing Systems, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Conference Paper | IST-REx-ID: 14170 | OA
Generalization and robustness implications in object-centric learning
A. Dittadi, S. Papa, M.D. Vita, B. Schölkopf, O. Winther, F. Locatello, in:, Proceedings of the 39th International Conference on Machine Learning, ML Research Press, n.d., pp. 5221–5285.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14171 | OA
Score matching enables causal discovery of nonlinear additive noise models
P. Rolland, V. Cevher, M. Kleindessner, C. Russel, B. Schölkopf, D. Janzing, F. Locatello, in:, Proceedings of the 39th International Conference on Machine Learning, ML Research Press, 2022, pp. 18741–18753.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14172 | OA
Visual representation learning does not generalize strongly within the same domain
L. Schott, J. von Kügelgen, F. Träuble, P. Gehler, C. Russell, M. Bethge, B. Schölkopf, F. Locatello, W. Brendel, in:, 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14173 | OA
Assaying out-of-distribution generalization in transfer learning
F. Wenzel, A. Dittadi, P.V. Gehler, C.-J.S.-G. Carl-Johann Simon-Gabriel, M. Horn, D. Zietlow, D. Kernert, C. Russell, T. Brox, B. Schiele, B. Schölkopf, F. Locatello, in:, 36th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2022, pp. 7181–7198.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14174 | OA
The role of pretrained representations for the OOD generalization of reinforcement learning agents
A. Dittadi, F. Träuble, M. Wüthrich, F. Widmaier, P. Gehler, O. Winther, F. Locatello, O. Bachem, B. Schölkopf, S. Bauer, in:, 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14175 | OA
You mostly walk alone: Analyzing feature attribution in trajectory prediction
O. Makansi, J. von Kügelgen, F. Locatello, P. Gehler, D. Janzing, T. Brox, B. Schölkopf, in:, 10th International Conference on Learning Representations, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Conference Paper | IST-REx-ID: 14215 | OA
A general purpose neural architecture for geospatial systems
N. Rahaman, M. Weiss, F. Träuble, F. Locatello, A. Lacoste, Y. Bengio, C. Pal, L.E. Li, B. Schölkopf, in:, 36th Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Preprint | IST-REx-ID: 14220 | OA
Compositional multi-object reinforcement learning with linear relation networks
D. Mambelli, F. Träuble, S. Bauer, B. Schölkopf, F. Locatello, ArXiv (n.d.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Preprint | IST-REx-ID: 14236 | OA
Incremental approximate maximum flow in m1/2+o(1) update time
G. Goranci, M. Henzinger, ArXiv (n.d.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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