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4840 Publications
2022 |
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Journal Article |
IST-REx-ID: 9794 |
Assen, F. P., Abe, J., Hons, M., Hauschild, R., Shamipour, S., Kaufmann, W., … Sixt, M. K. (2022). Multitier mechanics control stromal adaptations in swelling lymph nodes. Nature Immunology. Springer Nature. https://doi.org/10.1038/s41590-022-01257-4
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2022 |
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IST-REx-ID: 9955
Reyes‐Pinto, R., Ferrán, J. L., Vega Zuniga, T. A., González‐Cabrera, C., Luksch, H., Mpodozis, J., … Marín, G. J. (2022). Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum. Journal of Comparative Neurology. Wiley. https://doi.org/10.1002/cne.25229
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| PubMed | Europe PMC
2022 |
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Journal Article |
IST-REx-ID: 9977 |
Mistegaard, W., & Andersen, J. E. (2022). Resurgence analysis of quantum invariants of Seifert fibered homology spheres. Journal of the London Mathematical Society. Wiley. https://doi.org/10.1112/jlms.12506
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| arXiv
2021 |
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IST-REx-ID: 10665 |
Henzinger, T. A., Lechner, M., & Zikelic, D. (2021). Scalable verification of quantized neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.
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| arXiv
2021 |
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IST-REx-ID: 10666 |
Lechner, M., Hasani, R., Grosu, R., Rus, D., & Henzinger, T. A. (2021). Adversarial training is not ready for robot learning. In 2021 IEEE International Conference on Robotics and Automation (pp. 4140–4147). Xi’an, China. https://doi.org/10.1109/ICRA48506.2021.9561036
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 10667 |
Lechner, M., Žikelić, Ð., Chatterjee, K., & Henzinger, T. A. (2021). Infinite time horizon safety of Bayesian neural networks. In 35th Conference on Neural Information Processing Systems. Virtual. https://doi.org/10.48550/arXiv.2111.03165
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 10668 |
Babaiee, Z., Hasani, R., Lechner, M., Rus, D., & Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 478–489). Virtual: ML Research Press.
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2021 |
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IST-REx-ID: 10669 |
Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., & Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 11525–11535). Virtual: AAAI Press.
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| arXiv
2021 |
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IST-REx-ID: 10670 |
Vorbach, C. J., Hasani, R., Amini, A., Lechner, M., & Rus, D. (2021). Causal navigation by continuous-time neural networks. In 35th Conference on Neural Information Processing Systems. Virtual.
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| arXiv
2021 |
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IST-REx-ID: 10671 |
Hasani, R., Lechner, M., Amini, A., Rus, D., & Grosu, R. (2021). Liquid time-constant networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 7657–7666). Virtual: AAAI Press.
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 10674 |
Aghajohari, M., Avni, G., & Henzinger, T. A. (2021). Determinacy in discrete-bidding infinite-duration games. Logical Methods in Computer Science. International Federation for Computational Logic. https://doi.org/10.23638/LMCS-17(1:10)2021
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| arXiv
2021 |
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IST-REx-ID: 10688 |
Kragl, B., & Qadeer, S. (2021). The Civl verifier. In P. Ruzica & M. W. Whalen (Eds.), Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design (Vol. 2, pp. 143–152). Virtual: TU Wien Academic Press. https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23
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2021 |
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IST-REx-ID: 10694 |
Avni, G., Jecker, I. R., & Zikelic, D. (2021). Infinite-duration all-pay bidding games. In D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (pp. 617–636). Virtual: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611976465.38
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 10711 |
Autissier, P., Bonolis, D., & Lamzouri, Y. (2021). The distribution of the maximum of partial sums of Kloosterman sums and other trace functions. Compositio Mathematica. Cambridge University Press. https://doi.org/10.1112/s0010437x21007351
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| arXiv
2021 |
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IST-REx-ID: 10738 |
Leopold, N. K., Rademacher, S. A. E., Schlein, B., & Seiringer, R. (2021). The Landau–Pekar equations: Adiabatic theorem and accuracy. Analysis and PDE. Mathematical Sciences Publishers. https://doi.org/10.2140/APDE.2021.14.2079
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| arXiv
2021 |
Submitted |
Preprint |
IST-REx-ID: 10762 |
Rzadkowski, W., Lemeshko, M., & Mentink, J. H. (n.d.). Artificial neural network states for non-additive systems. arXiv. https://doi.org/10.48550/arXiv.2105.15193
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| arXiv
2021 |
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IST-REx-ID: 10803 |
Konstantinov, N. H., & Lampert, C. (n.d.). Fairness through regularization for learning to rank. arXiv. https://doi.org/10.48550/arXiv.2102.05996
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 10806 |
Calcabrini, M., Van den Eynden, D., Sanchez Ribot, S., Pokratath, R., Llorca, J., De Roo, J., & Ibáñez, M. (2021). Ligand conversion in nanocrystal synthesis: The oxidation of alkylamines to fatty acids by nitrate. JACS Au. American Chemical Society. https://doi.org/10.1021/jacsau.1c00349
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2021 |
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IST-REx-ID: 10809
Liu, Y., & Ibáñez, M. (2021). Tidying up the mess. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.abg0886
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| PubMed | Europe PMC
2021 |
Published |
Journal Article |
IST-REx-ID: 10816 |
Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., & Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-021-00157-1
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