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Chatterjee, K., Saona Urmeneta, R. J., &; Ziliotto, B. (2022). Finite-memory strategies in POMDPs with long-run average objectives. Mathematics of Operations Research. Institute for Operations Research and the Management Sciences.https://doi.org/10.1287/moor.2020.1116 
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Henheik, S. J., &; Lauritsen, A. B. (2022). The BCS energy gap at high density. Journal of Statistical Physics. Springer Nature.https://doi.org/10.1007/s10955-022-02965-9 
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Avarikioti, G., Pietrzak, K. Z., Salem, I., Schmid, S., Tiwari, S., &; Yeo, M. X. (2022). Hide &; Seek: Privacy-preserving rebalancing on payment channel networks. In Financial Cryptography and Data Security (Vol. 13411, pp. 358–373). Grenada: Springer Nature.https://doi.org/10.1007/978-3-031-18283-9_17 
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Hoffmann, C., Hubádek, P., Kamath, C., Klein, K., &; Pietrzak, K. Z. (2022). Practical statistically-sound proofs of exponentiation in any group. In Advances in Cryptology – CRYPTO 2022 (Vol. 13508, pp. 370–399). Santa Barbara, CA, United States: Springer Nature.https://doi.org/10.1007/978-3-031-15979-4_13 
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Gelashvili, R., Kokoris Kogias, E., Sonnino, A., Spiegelman, A., &; Xiang, Z. (2022). Jolteon and ditto: Network-adaptive efficient consensus with asynchronous fallback. In Financial Cryptography and Data Security (Vol. 13411, pp. 296–315). Radisson Grenada Beach Resort, Grenada: Springer Nature.https://doi.org/10.1007/978-3-031-18283-9_14 
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Cohen, S., Gelashvili, R., Kokoris Kogias, E., Li, Z., Malkhi, D., Sonnino, A., &; Spiegelman, A. (2022). Be aware of your leaders. In International Conference on Financial Cryptography and Data Security (Vol. 13411, pp. 279–295). Grenada: Springer Nature.https://doi.org/10.1007/978-3-031-18283-9_13 
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Bose, S., Henzinger, T. A., Lehtinen, K., Schewe, S., &; Totzke, P. (2022). History-deterministic timed automata are not determinizable. In 16th International Conference on Reachability Problems (Vol. 13608, pp. 67–76). Kaiserslautern, Germany: Springer Nature.https://doi.org/10.1007/978-3-031-19135-0_5 
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Lewin, M., Lieb, E. H., &; Seiringer, R. (2022). Improved Lieb–Oxford bound on the indirect and exchange energies. Letters in Mathematical Physics. Springer Nature.https://doi.org/10.1007/s11005-022-01584-5 
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Basilico, B., Ferrucci, L., Ratano, P., Golia, M. T., Grimaldi, A., Rosito, M.,https://doi.org/10.1002/glia.24101__Ragozzino, D. (2022). Microglia control glutamatergic synapses in the adult mouse hippocampus. Glia. Wiley.https://doi.org/10.1002/glia.24101 
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Ong, J. M. J., Bugnet, L. A., &; Basu, S. (2022). Mode mixing and rotational splittings. I. Near-degeneracy effects revisited. The Astrophysical Journal. American Astronomical Society.https://doi.org/10.3847/1538-4357/ac97e7 
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Wenzel, F., Dittadi, A., Gehler, P. V., Carl-Johann Simon-Gabriel, C.-J. S.-G., Horn, M., Zietlow, D.,  Locatello, F. (2022). Assaying out-of-distribution generalization in transfer learning. In 36th Conference on Neural Information Processing Systems (Vol. 35, pp. 7181–7198). New Orleans, LA, United States: Neural Information Processing Systems Foundation.
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Lohaus, M., Kleindessner, M., Kenthapadi, K., Locatello, F., &; Russell, C. (2022). Are two heads the same as one? Identifying disparate treatment in fair neural networks. In 36th Conference on Neural Information Processing Systems (Vol. 35, pp. 16548–16562). New Orleans, LA, United States: Neural Information Processing Systems Foundation.
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Dresdner, G., Vladarean, M.-L., Rätsch, G., Locatello, F., Cevher, V., &; Yurtsever, A. (2022).  Faster one-sample stochastic conditional gradient method for composite convex minimization. In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (Vol. 151, pp. 8439–8457). Virtual: ML Research Press.
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Mysliwy, K. (2022). Polarons in Bose gases and polar crystals: Some rigorous energy estimates. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11473 
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Mysliwy, K., &; Seiringer, R. (2022). Polaron models with regular interactions at strong coupling. Journal of Statistical Physics. Springer Nature.https://doi.org/10.1007/s10955-021-02851-w 
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Chatterjee, K., &; Doyen, L. (2022). Graph planning with expected finite horizon. Journal of Computer and System Sciences. Elsevier.https://doi.org/10.1016/j.jcss.2022.04.003 
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Zietlow, D., Lohaus, M., Balakrishnan, G., Kleindessner, M., Locatello, F., Scholkopf, B., &; Russell, C. (2022). Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10400–10411). New Orleans, LA, United States: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/cvpr52688.2022.01016 
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Rahaman, N., Weiss, M., Locatello, F., Pal, C., Bengio, Y., Schölkopf, B.,  Ballas, N. (2022). Neural attentive circuits. In 36th Conference on Neural Information Processing Systems (Vol. 35). New Orleans, United States.
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