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5096 Publications
2023 |Published| Journal Article | IST-REx-ID: 13976 | 
Wolfsberger W, Chhugani K, Shchubelka K, Frolova A, Salyha Y, Zlenko O, Arych M, Dziuba D, Parkhomenko A, Smolanka V, Gümüş ZH, Sezgin E, Diaz-Lameiro A, Toth VR, Maci M, Bortz E, Kondrashov F, Morton PM, Łabaj PP, Romero V, Hlávka J, Mangul S, Oleksyk TK. 2023. Scientists without borders: Lessons from Ukraine. GigaScience. 12, giad045.
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| PubMed | Europe PMC
2023 | Research Data Reference | IST-REx-ID: 14892 |
Feitosa Tomé, Douglas. Douglastome/Dynamic-Engrams: Dynamic and Selective Engrams Emerge with Memory Consolidation. Zenodo, 2023, doi:10.5281/ZENODO.10251087.
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2023 |Published| Thesis | IST-REx-ID: 13074 |
Peste, Elena-Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074.
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2023 |Published| Conference Paper | IST-REx-ID: 13053 |
Krumes, Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations , OpenReview, 2023.
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| arXiv
2023 |Epub ahead of print| Journal Article | IST-REx-ID: 13182 |
Biswas, Ranita, et al. “Geometric Characterization of the Persistence of 1D Maps.” Journal of Applied and Computational Topology, Springer Nature, 2023, doi:10.1007/s41468-023-00126-9.
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2023 |Published| Conference Paper | IST-REx-ID: 15023 |
Zikelic, Dorde, et al. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” 37th Conference on Neural Information Processing Systems, 2023.
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2023 |Published| Conference Paper | IST-REx-ID: 14921 |
Súkeník, Peter, et al. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” 37th Annual Conference on Neural Information Processing Systems, 2023.
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2023 |Published| Conference Paper | IST-REx-ID: 14923 |
Fu, Teng, et al. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, 2023, pp. 1178–83, doi:10.1109/isit54713.2023.10206671.
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2023 |Published| Journal Article | IST-REx-ID: 13125 |
Sack, Stefan, et al. “Recursive Greedy Initialization of the Quantum Approximate Optimization Algorithm with Guaranteed Improvement.” Physical Review A, vol. 107, no. 6, 062404, American Physical Society, 2023, doi:10.1103/physreva.107.062404.
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| arXiv
2023 |Published| Conference Paper | IST-REx-ID: 14083 |
Resch, Nicolas, et al. “Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery.” 50th International Colloquium on Automata, Languages, and Programming, vol. 261, 99, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023, doi:10.4230/LIPIcs.ICALP.2023.99.
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2023 |Published| Journal Article | IST-REx-ID: 17074 |
Brooks, Morris, and Robert Seiringer. “Validity of Bogoliubov’s Approximation Fortranslation-Invariant Bose Gases.” Probability and Mathematical Physics, vol. 3, no. 4, Mathematical Sciences Publishers, 2023, pp. 939–1000, doi:10.2140/pmp.2022.3.939.
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2023 |Epub ahead of print| Journal Article | IST-REx-ID: 14868 |
Tyagi, Swati, et al. “High-Precision Mapping of Nuclear Pore-Chromatin Interactions Reveals New Principles of Genome Organization at the Nuclear Envelope.” ELife, eLife Sciences Publications, 2023, doi:10.7554/elife.87462.
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2023 |Published| Journal Article | IST-REx-ID: 13118
Hernandez, J. A., et al. “Melting Curve of Superionic Ammonia at Planetary Interior Conditions.” Nature Physics, vol. 19, Springer Nature, 2023, pp. 1280–85, doi:10.1038/s41567-023-02074-8.
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2023 |Published| Conference Paper | IST-REx-ID: 14922 |
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, 2023, pp. 400–05, doi:10.1109/isit54713.2023.10206899.
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2023 |Submitted| Preprint | IST-REx-ID: 17351 |
Pedrotti, Francesco. “Contractive Coupling Rates and Curvature Lower Bounds for Markov Chains.” ArXiv, doi:10.48550/arXiv.2308.00516.
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2023 |Published| Conference Paper | IST-REx-ID: 14459 |
Shevchenko, Aleksandr, et al. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 31151–209.
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| arXiv
2023 |Published| Conference Paper | IST-REx-ID: 14461 |
Markov, Ilia, et al. “Quantized Distributed Training of Large Models with Convergence Guarantees.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 24020–44.
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| arXiv
2023 |Published| Conference Paper | IST-REx-ID: 17378 |
Frantar, Elias, et al. “OPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers.” 11th International Conference on Learning Representations , International Conference on Learning Representations, 2023.
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2023 |Published| Conference Paper | IST-REx-ID: 14458 |
Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 10323–37.
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2023 |Published| Conference Paper | IST-REx-ID: 14417 |
Baier, Christel, et al. “Entropic Risk for Turn-Based Stochastic Games.” 48th International Symposium on Mathematical Foundations of Computer Science, vol. 272, 15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023, doi:10.4230/LIPIcs.MFCS.2023.15.
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