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7668 Publications


2024 | Epub ahead of print | Journal Article | IST-REx-ID: 18951 | OA
I. Hartarsky, L. Lichev, and F. L. Toninelli, “Local dimer dynamics in higher dimensions,” Annales de l’Institut Henri Poincaré D, Combinatorics, Physics and their Interactions. EMS Press, 2024.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 18952 | OA
Hunnisett LM et al. 2024. The seventh blind test of crystal structure prediction: Structure generation methods. Acta Crystallographica Section B Structural Science, Crystal Engineering and Materials. 80(6), 517–547.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2024 | Published | Conference Paper | IST-REx-ID: 18955 | OA
A. Casares, M. Pilipczuk, M. Pilipczuk, U. S. Souza, and K. S. Thejaswini, “Simple and tight complexity lower bounds for solving Rabin games,” in 2024 Symposium on Simplicity in Algorithms, Alexandria, VA, United States, 2024, pp. 160–167.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18956 | OA
B. Demirel and H. Ozkan, “Decompl: Decompositional learning with attention pooling for group activity recognition from a single volleyball image,” in 2024 IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates, 2024, pp. 977–983.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18957 | OA
S. Blackshear et al., “Sui Lutris: A blockchain combining broadcast and consensus,” in Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, Salt Lake City, UT, United States, 2024, pp. 2606–2620.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 18961 | OA
C. U. Günther and K. Z. Pietrzak, “Deniability in automated contact tracing: Impossibilities and possibilities,” Proceedings on Privacy Enhancing Technologies, vol. 2024, no. 4. Privacy Enhancing Technologies Symposium Advisory Board, pp. 636–648, 2024.
[Published Version] View | Files available | DOI
 

2024 | Published | Conference Paper | IST-REx-ID: 18964 | OA
K. Fan et al., “Adaptive slot attention: Object discovery with dynamic slot number,” in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, United States, 2024.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Other Publication | IST-REx-ID: 18967 | OA
O. Petrova et al., Structure‐activity relationship study of neuroprotective complex I inhibitor CP2, vol. 20, no. S6. Wiley, 2024.
[Published Version] View | Files available | DOI
 

2024 | Published | Journal Article | IST-REx-ID: 18970 | OA
T. Hausel, D. Maulik, A. Mellit, O. Schiffmann, and J. Shen, “Arbeitsgemeinschaft: Geometry and representation theory around the P=W conjecture,” Oberwolfach Reports, vol. 21, no. 2. EMS Press, pp. 949–1004, 2024.
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2024 | Published | Conference Paper | IST-REx-ID: 18971 | OA
R. Arefin et al., “Unsupervised concept discovery mitigates spurious correlations,” in Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 1672–1688.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
S. Bombari and M. Mondelli, “How spurious features are memorized: Precise analysis for random and NTK features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4267–4299.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
S. Bombari and M. Mondelli, “Towards understanding the word sensitivity of attention layers: A study via random features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4300–4328.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18974 | OA
J. Svoboda, S. Bansal, and K. Chatterjee, “Reinforcement learning from reachability specifications: PAC guarantees with expected conditional distance,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 47331–47344.
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2024 | Published | Conference Paper | IST-REx-ID: 18975 | OA
I.-V. Modoranu, A. Kalinov, E. Kurtic, E. Frantar, and D.-A. Alistarh, “Error feedback can accurately compress preconditioners,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 35910–35933.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18976 | OA
R. Islamov, M. Safaryan, and D.-A. Alistarh, “AsGrad: A sharp unified analysis of asynchronous-SGD algorithms,” in Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 2024, vol. 238, pp. 649–657.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18977 | OA
T. Dettmers et al., “SpQR: A sparse-quantized representation for near-lossless LLM weight compression,” in 12th International Conference on Learning Representations, Vienna, Austria, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Draft | Preprint | IST-REx-ID: 18981 | OA
A. Brown and O. Draganov, “Discrete microlocal Morse theory,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18996 | OA
T. Chen, K. Bello, F. Locatello, B. Aragam, and P. K. Ravikumar, “Identifying general mechanism shifts in linear causal representations,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Published Version] View | Files available | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18998 | OA
O. Draganov and S. Skiena, “The shape of word embeddings: Quantifying non-isometry with topological data analysis,” in Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, FL, United States, 2024, pp. 12080–12099.
[Published Version] View | Files available | DOI | arXiv
 

2024 | Submitted | Preprint | IST-REx-ID: 18999 | OA
S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, and M. Saghafian, “Chromatic topological data analysis,” arXiv. .
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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