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6686 Publications

2024 | Published | Journal Article | IST-REx-ID: 18949 | OA
Stankowski S, Cutter AD, Satokangas I, Lerch BA, Rolland J, Smadja CM, Segami Marzal JC, Cooney CR, Feulner PGD, Domingos FMCB, North HL, Yamaguchi R, Butlin RK, Wolf JBW, Coughlan J, Heidbreder P, Hernández-Gutiérrez R, Barnard-Kubow KB, Peede D, Rancilhac L, Salvador RB, Thompson KA, Stacy EA, Moyle LC, Garlovsky MD, Maulana A, Kantelinen A, Cacho NI, Schneemann H, Domínguez M, Dopman EB, Lohse K, Rometsch SJ, Comeault AA, Merrill RM, Scordato ESC, Singhal S, Pärssinen V, Lackey ACR, Kumar S, Meier JI, Barton NH, Fraisse C, Ravinet M, Kulmuni J. 2024. Toward the integration of speciation research. Evolutionary Journal of the Linnean Society. 3(1), kzae001.
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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: 18958
C. Hainzl, B. Schlein, R. Seiringer, and S. Warzel, “Many-body quantum systems,” Oberwolfach Reports, vol. 20, no. 3. EMS Press, pp. 2247–2302, 2024.
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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.
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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
 
earlier version | 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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