Gelashvili, Rati, et al. “Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback.”10.1007/978-3-031-18283-9_14__Financial Cryptography and Data Security, vol. 13411, Springer Nature, 2022, pp. 296–315, doi:10.1007/978-3-031-18283-9_14.
LibreCat: https://research-explorer.ista.ac.at/record/12298
DOI: 10.1007/978-3-031-18283-9_14
arXiv: 2106.10362

Cohen, Shir, et al. “Be Aware of Your Leaders.”10.1007/978-3-031-18283-9_13__International Conference on Financial Cryptography and Data Security, vol. 13411, Springer Nature, 2022, pp. 279–95, doi:10.1007/978-3-031-18283-9_13.
LibreCat: https://research-explorer.ista.ac.at/record/12168
DOI: 10.1007/978-3-031-18283-9_13
arXiv: 2110.00960

Meggendorfer, Tobias. “PET – A Partial Exploration Tool for Probabilistic Verification.”10.1007/978-3-031-19992-9_20__20th International Symposium on Automated Technology for Verification and Analysis, vol. 13505, Springer Nature, 2022, pp. 320–26, doi:10.1007/978-3-031-19992-9_20.
LibreCat: https://research-explorer.ista.ac.at/record/12170
DOI: 10.1007/978-3-031-19992-9_20

Bose, Sougata, et al. “History-Deterministic Timed Automata Are Not Determinizable.”10.1007/978-3-031-19135-0_5__16th International Conference on Reachability Problems, vol. 13608, Springer Nature, 2022, pp. 67–76, doi:10.1007/978-3-031-19135-0_5.
LibreCat: https://research-explorer.ista.ac.at/record/12175
DOI: 10.1007/978-3-031-19135-0_5

Lewin, Mathieu, et al. “Improved Lieb–Oxford Bound on the Indirect and Exchange Energies.”10.1007/s11005-022-01584-5__Letters in Mathematical Physics, vol. 112, no. 5, 92, Springer Nature, 2022, doi:10.1007/s11005-022-01584-5.
LibreCat: https://research-explorer.ista.ac.at/record/12246
DOI: 10.1007/s11005-022-01584-5
WoS: 000854762600001
arXiv: 2203.12473

Köse, Seyda, and Ferruh Özbudak. “Factorization of Some Polynomials over Finite Local Commutative Rings and Applications to Certain Self-Dual and LCD Codes.”10.1007/s12095-022-00557-8__Cryptography and Communications, vol. 14, no. 4, Springer Nature, 2022, pp. 933–48, doi:10.1007/s12095-022-00557-8.
LibreCat: https://research-explorer.ista.ac.at/record/10842
DOI: 10.1007/s12095-022-00557-8
WoS: 000766422000002

Basilico, Bernadette, et al. “Microglia Control Glutamatergic Synapses in the Adult Mouse Hippocampus.”10.1002/glia.24101__Glia, vol. 70, no. 1, Wiley, 2022, pp. 173–95, doi:10.1002/glia.24101.
LibreCat: https://research-explorer.ista.ac.at/record/10818
DOI: 10.1002/glia.24101
WoS: 000708025800001
PMID: 34661306

Ong, J. M. Joel, et al. “Mode Mixing and Rotational Splittings. I. Near-Degeneracy Effects Revisited.”10.3847/1538-4357/ac97e7__The Astrophysical Journal, vol. 940, no. 1, 18, American Astronomical Society, 2022, doi:10.3847/1538-4357/ac97e7.
LibreCat: https://research-explorer.ista.ac.at/record/13445
DOI: 10.3847/1538-4357/ac97e7
arXiv: 2210.01928

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.
LibreCat: https://research-explorer.ista.ac.at/record/14173
arXiv: 2207.09239

Lohaus, Michael, et al. “Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks.” 36th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2022, pp. 16548–62.
LibreCat: https://research-explorer.ista.ac.at/record/14106
arXiv: 2204.04440

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.
LibreCat: https://research-explorer.ista.ac.at/record/14093
arXiv: 2202.13212

Mysliwy, Krzysztof. Polarons in Bose Gases and Polar Crystals: Some Rigorous Energy Estimates. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11473.
LibreCat: https://research-explorer.ista.ac.at/record/11473
DOI: 10.15479/at:ista:11473

Mysliwy, Krzysztof, and Robert Seiringer. “Polaron Models with Regular Interactions at Strong Coupling.”10.1007/s10955-021-02851-w__Journal of Statistical Physics, vol. 186, no. 1, 5, Springer Nature, 2022, doi:10.1007/s10955-021-02851-w.
LibreCat: https://research-explorer.ista.ac.at/record/10564
DOI: 10.1007/s10955-021-02851-w
WoS: 000726275600001
arXiv: 2106.09328

Chatterjee, Krishnendu, and Laurent Doyen. “Graph Planning with Expected Finite Horizon.”10.1016/j.jcss.2022.04.003__Journal of Computer and System Sciences, vol. 129, Elsevier, 2022, pp. 1–21, doi:10.1016/j.jcss.2022.04.003.
LibreCat: https://research-explorer.ista.ac.at/record/11402
DOI: 10.1016/j.jcss.2022.04.003
WoS: 000805002800001
arXiv: 1802.03642

Zietlow, Dominik, et al. “Leveling down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.”10.1109/cvpr52688.2022.01016__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.
LibreCat: https://research-explorer.ista.ac.at/record/14114
DOI: 10.1109/cvpr52688.2022.01016
arXiv: 2203.04913

Rahaman, Nasim, et al. “Neural Attentive Circuits.” 36th Conference on Neural Information Processing Systems, vol. 35, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/14168
arXiv: 2210.08031

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.
LibreCat: https://research-explorer.ista.ac.at/record/14170
arXiv: 2107.00637

Schott, Lukas, et al. “Visual Representation Learning Does Not Generalize Strongly within the  Same Domain.” 10th International Conference on Learning Representations, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/14172
arXiv: 2107.08221

Yao, Jian, et al. “Self-Supervised Amodal Video Object Segmentation.”10.48550/arXiv.2210.12733__36th Conference on Neural Information Processing Systems, 2022, doi:10.48550/arXiv.2210.12733.
LibreCat: https://research-explorer.ista.ac.at/record/14107
DOI: 10.48550/arXiv.2210.12733
arXiv: 2210.12733

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.
LibreCat: https://research-explorer.ista.ac.at/record/14171
arXiv: 2203.04413