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10467 Publications
2024 | Published | Conference Paper | IST-REx-ID: 18957 | 
Blackshear, S., Chursin, A., Danezis, G., Kichidis, A., Kokoris Kogias, E., Li, X., … Zhang, L. (2024). Sui Lutris: A blockchain combining broadcast and consensus. In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (pp. 2606–2620). Salt Lake City, UT, United States: ACM. https://doi.org/10.1145/3658644.3670286
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| arXiv
2024 | Published | Thesis | IST-REx-ID: 18129
Janik, M. (2024). Strong charge-photon coupling in Germanium enabled by granular aluminium superinductors. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:18129
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2024 | Published | Journal Article | IST-REx-ID: 18958
Hainzl, C., Schlein, B., Seiringer, R., & Warzel, S. (2024). Many-body quantum systems. Oberwolfach Reports. EMS Press. https://doi.org/10.4171/owr/2023/39
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2024 | Published | Journal Article | IST-REx-ID: 18961 |
Günther, C. U., & Pietrzak, K. Z. (2024). Deniability in automated contact tracing: Impossibilities and possibilities. Proceedings on Privacy Enhancing Technologies. Bristol, UK/Virtual: Privacy Enhancing Technologies Symposium Advisory Board. https://doi.org/10.56553/popets-2024-0134
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2024 | Published | Conference Paper | IST-REx-ID: 18964 |
Fan, K., Bai, Z., Xiao, T., He, T., Horn, M., Fu, Y., … Zhang, Z. (2024). Adaptive slot attention: Object discovery with dynamic slot number. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, United States: IEEE. https://doi.org/10.1109/cvpr52733.2024.02176
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18965
Ibáñez, M., Xu, S., Horta, S., & Lawal, A. Q. (2024). High-performance thermoelectric cooler fabricated vith extrusion-based 3D printing materials. In Proceedings of the Materials for Sustainable Development Conference. Lausanne, Switzerland: Fundacio de la communitat Valenciana Scito. https://doi.org/10.29363/nanoge.matsusfall.2024.222
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2024 | Published | Conference Paper | IST-REx-ID: 17426 |
Prach, B., Brau, F., Buttazzo, G., & Lampert, C. (2024). 1-Lipschitz layers compared: Memory, speed, and certifiable robustness. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 24574–24583). Seattle, WA, United States: Computer Vision Foundation. https://doi.org/10.1109/CVPR52733.2024.02320
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| arXiv
2024 | Epub ahead of print | Journal Article | IST-REx-ID: 18960
Brückner, D., & Hannezo, E. B. (2024). Tissue active matter: Integrating mechanics and signaling into dynamical models. Cold Spring Harbor Perspectives in Biology. Cold Spring Harbor Laboratory. https://doi.org/10.1101/cshperspect.a041653
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| PubMed | Europe PMC
2024 | Published | Other Publication | IST-REx-ID: 18967 |
Petrova, O., Trushin, S. A., Nguyen, T. K. O., Ostroot, M., Schellenberg, M., Johnson, G., … Sazanov, L. A. (2024). Structure‐activity relationship study of neuroprotective complex I inhibitor CP2. Alzheimer’s & Dementia (Vol. 20). Wiley. https://doi.org/10.1002/alz.085971
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2024 | Published | Conference Paper | IST-REx-ID: 18159 |
Akshay, S., Chatterjee, K., Meggendorfer, T., & Zikelic, D. (2024). Certified policy verification and synthesis for MDPs under distributional reach-avoidance properties. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (pp. 3–12). Jeju, Korea: International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/1
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| arXiv
2024 | Published | Journal Article | IST-REx-ID: 18970 |
Hausel, T., Maulik, D., Mellit, A., Schiffmann, O., & Shen, J. (2024). Arbeitsgemeinschaft: Geometry and representation theory around the P=W conjecture. Oberwolfach Reports. EMS Press. https://doi.org/10.4171/owr/2024/16
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2024 | Published | Conference Paper | IST-REx-ID: 18973 |
Bombari, S., & Mondelli, M. (2024). Towards understanding the word sensitivity of attention layers: A study via random features. In 41st International Conference on Machine Learning (Vol. 235, pp. 4300–4328). Vienna, Austria: ML Research Press.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18975 |
Modoranu, I.-V., Kalinov, A., Kurtic, E., Frantar, E., & Alistarh, D.-A. (2024). Error feedback can accurately compress preconditioners. In 41st International Conference on Machine Learning (Vol. 235, pp. 35910–35933). Vienna, Austria: ML Research Press.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18972 |
Bombari, S., & Mondelli, M. (2024). How spurious features are memorized: Precise analysis for random and NTK features. In 41st International Conference on Machine Learning (Vol. 235, pp. 4267–4299). Vienna, Austria: ML Research Press.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18971 |
Arefin, R., Zhang, Y., Baratin, A., Locatello, F., Rish, I., Liu, D., & Kawaguchi, K. (2024). Unsupervised concept discovery mitigates spurious correlations. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 1672–1688). Vienna, Austria: ML Research Press.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18974 |
Svoboda, J., Bansal, S., & Chatterjee, K. (2024). Reinforcement learning from reachability specifications: PAC guarantees with expected conditional distance. In 41st International Conference on Machine Learning (Vol. 235, pp. 47331–47344). Vienna, Austria: ML Research Press.
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2024 | Published | Conference Paper | IST-REx-ID: 18976 |
Islamov, R., Safaryan, M., & Alistarh, D.-A. (2024). AsGrad: A sharp unified analysis of asynchronous-SGD algorithms. In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (Vol. 238, pp. 649–657). Valencia, Spain: ML Research Press.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18977 |
Dettmers, T., Svirschevski, R. A., Egiazarian, V., Kuznedelev, D., Frantar, E., Ashkboos, S., … Alistarh, D.-A. (2024). SpQR: A sparse-quantized representation for near-lossless LLM weight compression. In 12th International Conference on Learning Representations. Vienna, Austria: OpenReview.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18891 |
Súkeník, P., Lampert, C., & Mondelli, M. (2024). Neural collapse vs. low-rank bias: Is deep neural collapse really optimal? In 38th Annual Conference on Neural Information Processing Systems (Vol. 38). Vancouver, Canada: Curran Associates.
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2024 | Published | Conference Paper | IST-REx-ID: 18890 |
Beaglehole, D., Súkeník, P., Mondelli, M., & Belkin, M. (2024). Average gradient outer product as a mechanism for deep neural collapse. In 38th Annual Conference on Neural Information Processing Systems (Vol. 38). Vancouver, Canada: Curran Associates.
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| arXiv