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Publications

Larsen, K. G., Nelson, J., Nguyen, H. L. & Thorup, M. (2016). Heavy hitters via cluster-preserving clustering. In Proceedings - 57th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2016 (pp. 61-70). Article 7782918 IEEE. https://doi.org/10.1109/FOCS.2016.16
Larsen, K. G. & Nelson, J. (2016). The Johnson-Lindenstrauss Lemma Is Optimal for Linear Dimensionality Reduction. Leibniz International Proceedings in Informatics, 55, 82:1 - 82:11. https://doi.org/10.4230/LIPIcs.ICALP.2016.82
Larsen, K. G. & Nelson, J. (2017). Optimality of the Johnson-Lindenstrauss Lemma. In Proceedings - 58th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2017 (pp. 633-638). Article 8104096 https://doi.org/10.1109/FOCS.2017.64
Larsen, K. G., Weinstein, O. & Yu, H. (2018). Crossing the Logarithmic Barrier for Dynamic Boolean Data Structure Lower Bounds. In M. Henzinger, D. Kempe & I. Diakonikolas (Eds.), STOC 2018 - Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing (pp. 978-989). Association for Computing Machinery. https://doi.org/10.1145/3188745.3188790
Larsen, K. G. & Nielsen, J. B. (2018). Yes, There is an Oblivious RAM Lower Bound! In H. Shacham & A. Boldyreva (Eds.), Advances in Cryptology -- CRYPTO 2018 (pp. 523-542). Springer VS. https://doi.org/10.1007/978-3-319-96881-0_18
Larsen, K. G., Nelson, J., Huy L Nguyen & Thorup, M. (2019). Heavy Hitters via Cluster-Preserving Clustering. Communications of the ACM, 62(8), 95-100. https://doi.org/10.1145/3339185
Larsen, K. G., Malkin, T., Weinstein, O. & Yeo, K. (2020). Lower Bounds for Oblivious Near-Neighbor Search. In S. Chawla (Ed.), SODA '20: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1116-1134). Society for Industrial and Applied Mathematics. https://doi.org/10.5555/3381089.3381157
Larsen, K. G. (2019). Constructive Discrepancy Minimization with Hereditary L2 Guarantees. In R. Niedermeier & C. Paul (Eds.), 36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019) Article 48 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.STACS.2019.48
Larsen, K. G., Mitzenmacher, M. & Tsourakakis, C. E. (2020). Optimal Learning of Joint Alignments with a Faulty Oracle. In 2020 IEEE International Symposium on Information Theory, ISIT 2020 (pp. 2492-2497). IEEE. https://doi.org/10.1109/ISIT44484.2020.9174310
Larsen, K. G. & Simkin, M. (2020). Secret sharing lower bound: Either reconstruction is hard or shares are long. In C. Galdi & V. Kolesnikov (Eds.), Security and Cryptography for Networks (pp. 566-578). Springer. https://doi.org/10.1007/978-3-030-57990-6_28
Larsen, K. G., Simkin, M. & Yeo, K. (2020). Lower Bounds for Multi-server Oblivious RAMs. In R. Pass & K. Pietrzak (Eds.), Theory of Cryptography - 18th International Conference, TCC 2020, Proceedings (pp. 486-503). Springer. https://doi.org/10.1007/978-3-030-64375-1_17
Larsen, K. G., Pagh, R. & Tetek, J. (2021). CountSketches, Feature Hashing and the Median of Three. In M. Meila & T. Zhang (Eds.), Proceedings of the 38th International Conference on Machine Learning, ICML 2021 (pp. 6011-6020) http://proceedings.mlr.press/v139/larsen21a.html
Larsen, K. G., Obremski, M. & Simkin, M. (2023). Distributed Shuffling in Adversarial Environments. In K.-M. Chung (Ed.), 4th Conference on Information-Theoretic Cryptography, ITC 2023 Article 10 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ITC.2023.10
Larsen, K. G. (2023). Bagging is an Optimal PAC Learner. In G. Neu & L. Rosasco (Eds.), Proceedings of COLT 2023 (Vol. 195, pp. 450-468). MLResearch Press.
Larsen, K. G. (2023). Fast Discrepancy Minimization with Hereditary Guarantees. In N. Bansal & V. Nagarajan (Eds.), Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) (pp. 276-289). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977554.ch11
Larsen, K. G., Pagh, R., Persiano, G., Pitassi, T., Yeo, K. & Zamir, O. (2024). Optimal Non-Adaptive Cell Probe Dictionaries and Hashing. In K. Bringmann, M. Grohe, G. Puppis & O. Svensson (Eds.), 51st International Colloquium on Automata, Languages, and Programming, ICALP 2024 Article 104 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ICALP.2024.104
Larsen, K. G. (2024). From TCS to Learning Theory. In R. Kralovic & A. Kucera (Eds.), 49th International Symposium on Mathematical Foundations of Computer Science, MFCS 2024 Article 4 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.MFCS.2024.4
Larsen, K. G. & Yu, H. (2023). Super-Logarithmic Lower Bounds for Dynamic Graph Problems. In Proceedings - 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, FOCS 2023 (pp. 1589-1604). IEEE. https://doi.org/10.1109/FOCS57990.2023.00096
Larsen, K. G. (2024). Bagging is an Optimal PAC Learner (Extended Abstract). In K. Larson (Ed.), Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24) (pp. 8411-8415). IJCAI Organization. https://doi.org/10.24963/ijcai.2024/932
Larsen, K. G. (2013). Models and Techniques for Proving Data Structure Lower Bounds. Department of Computer Science, Aarhus University.
Larsen, K. G. & Simkin, M. (2026). Time/Space Tradeoffs for Generic Attacks on Delay Functions. In B. Applebaum & H. Lin (Eds.), Theory of Cryptography: 23rd International Conference, TCC 2025, Aarhus, Denmark, December 1–5, 2025, Proceedings, Part IV (pp. 451-477). Springer. https://doi.org/10.1007/978-3-032-12290-2_15
Larsen, K. G. & Schalburg, N. (2025). Tight Generalization Bounds for Large-Margin Halfspaces. In The Thirty-ninth Annual Conference on Neural Information Processing Systems (pp. 51360-51400) https://openreview.net/forum?id=wAq0ZLxrGq
Larsen, K. G. & Yu, H. (2026). SUPER-LOGARITHMIC LOWER BOUNDS FOR DYNAMIC GRAPH PROBLEMS. In 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS) (3 ed., Vol. 55, pp. FOCS23-42-FOCS23-69) https://doi.org/10.1137/24M1638215
Leblanc, C., Bonnet, P., Servajean, M., Chytrý, M., Aćić, S., Argagnon, O., Bergamini, A., Biurrun, I., Bonari, G., Campos, J. A., Čarni, A., Ćušterevska, R., De Sanctis, M., Dengler, J., Garbolino, E., Golub, V., Jandt, U., Jansen, F., Lebedeva, M. ... Joly, A. (2024). A deep-learning framework for enhancing habitat identification based on species composition. Applied Vegetation Science, 27(3), Article e12802. https://doi.org/10.1111/avsc.12802
Leblanc, C., Bonnet, P., Servajean, M., Thuiller, W., Chytrý, M., Aćić, S., Argagnon, O., Biurrun, I., Bonari, G., Bruelheide, H., Campos, J. A., Čarni, A., Ćušterevska, R., De Sanctis, M., Dengler, J., Dziuba, T., Garbolino, E., Jandt, U., Jansen, F. ... Joly, A. (2025). Learning the syntax of plant assemblages. Nature Plants, 11(10), 2026-2040. https://doi.org/10.1038/s41477-025-02105-7
Madalgo, P. A., Barbay, J. & Chan, T. M. (2017). Instance-optimal geometric algorithms. Journal of the ACM, 64(1), Article 3. https://doi.org/10.1145/3046673
Mai, T., Munteanu, A., Musco, C., Rao, A. B., Schwiegelshohn, C. & Woodruff, D. P. (2023). Optimal Sketching Bounds for Sparse Linear Regression. In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (pp. 11288-11316). PMLR. https://proceedings.mlr.press/v206/mai23a.html
Mailund, Brodal, G. S., Fagerberg, R., Pedersen, C. N. S. & Phillips, D. (2006). Recrafting the Neighbor-Joining Method. BMC Bioinformatics, 7(29).
Midolo, G., Clark, A. T., Chytrý, M., Essl, F., Dullinger, S., Jandt, U., Bruelheide, H., Argagnon, O., Biurrun, I., Chiarucci, A., Ćušterevska, R., De Frenne, P., De Sanctis, M., Dengler, J., Divíšek, J., Dziuba, T., Ejrnæs, R., Garbolino, E., Illa, E. ... Keil, P. (2025). Six Decades of Losses and Gains in Alpha Diversity of European Plant Communities. Ecology Letters, 28(11), Article e70248. https://doi.org/10.1111/ele.70248
Midolo, G., Clark, A. T., Chytrý, M., Essl, F., Dullinger, S., Jandt, U., Bruelheide, H., Dengler, J., Axmanová, I., Aćić, S., Argagnon, O., Biurrun, I., Bonari, G., Chiarucci, A., Ćušterevska, R., De Frenne, P., De Sanctis, M., Divíšek, J., Doležal, J. ... Keil, P. (2026). Sixty years of plant community change in Europe indicate a shift toward nutrient-richer and denser vegetation. Science Advances, 12(15), 1-13. Article eaeb2493. https://doi.org/10.1126/sciadv.aeb2493
Moeslund, J. E., Arge, L. A., Bøcher, P. K., Nygaard, B. & Svenning, J.-C. (2009). The impacts of coastal squeezing on salt-meadow plant communities in Denmark. Poster session presented at Beyond Kyoto: Addressing the challenges of climate change, Aarhus, Denmark.
Moeslund, J. E., Brunbjerg, A. K., Clausen, K. K., Dalby, L., Fløjgaard, C., Juel, A. & Lenoir, J. (2015). Dark diversity illuminates the dim side of restoration. Poster session presented at International Congress for Conservation Biology, Montpellier, France.
Moeslund, J. E., Ejrnæs, R. & Wind, P. (2015). Manual til rødlistevurdering af danske arter 2013-2019. Aarhus University, DCE - Danish Centre for Environment and Energy. Teknisk rapport fra DCE - Nationalt Center for Miljø og Energi No. 54
Moeslund, J. E., Nygaard, B. & Ejrnæs, R. (2020). Manual til rødlistevurdering af danske arter 2020-2030. Aarhus University, DCE - Danish Centre for Environment and Energy. Teknisk rapport fra DCE - Nationalt Center for Miljø og Energi Vol. 2020 No. 188 https://dce2.au.dk/pub/tr188.pdf
Moeslund, J. E. & Helsing, F., (2020). Vurdering af WWF’s anbefalinger om at udvide indsamlingsforbud af dagsommerfugle i Danmark, 5 p., Fagligt notat fra DCE – Nationalt Center for Miljø og Energi (2020-...) Vol. 2020 No. 54 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notatet_2020/N2020_54.pdf
Moeslund, J. E. & Helsing, F., (2020). Vurdering og genvurdering af effekten af et indsamlingsforbud på bestemte dagsommerfuglearter, 6 p., Fagligt notat fra DCE – Nationalt Center for Miljø og Energi (2020-...) Vol. 2020 No. 47 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notatet_2020/N2020_47.pdf
Moeslund, J. E. & Helsing, F., (2020). Indsamlingsforbud for danske dagsommerfugle, 13 p., Notat fra DCE - Nationalt Center for Miljø og Energi (2011-2019) Vol. 2020 No. 24 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notatet_2020/N2020_24.pdf
Moeslund, J. E., (2021). Oversigter over forekomsten af rødlistede arter, 212 p., Fagligt notat fra DCE – Nationalt Center for Miljø og Energi (2020-...) Vol. 2021 No. 24 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2021/N2021_24.pdf