Publications

Hájek, M., Jimenez-Alfaro, B., Hájek, O., Brancaleoni, L., Cantonati, M., Carbognani, M., Dedić, A., Dítě, D., Gerdol, R., Hájková, P., Horsáková, V., Jansen, F., Kamberović, J., Kapfer, J., Kolari, T. H. M., Lamentowicz, M., Lazarević, P. M., Mašić, E., Moeslund, J. E. ... Biţă-Nicolae, C. (2021). A European map of groundwater pH and calcium. Earth System Science Data, 13, 1089-1105. https://doi.org/10.5194/essd-13-1089-2021

Afshani, P., de Berg, M., Buchin, K., Gao, J., Loffler, M., Nayyeri, A., Raichel, B., Sarkar, R., Wang, H. & Wang, H-T. (2021). Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency. In S. M. LaValle, M. Lin, T. Ojala, D. Shell & J. Yu (Eds.), Algorithmic Foundations of Robotics XIV-Part A: Proceedings of the Fourteenth Workshop on the Algorithmic Foundations of Robotics Springer. Springer Proceedings in Advanced Robotics https://arxiv.org/abs/2005.02530

Larsen, K. G., Starup, J. L. & Steensgaard, J. (2021). Further Unifying the Landscape of Cell Probe Lower Bounds. Paper presented at Happening virtually , -. https://cs.au.dk/~larsen/papers/FurtherUnifying.pdf

Kejlberg-Rasmussen, C., Tao, Y., Tsakalidis, K., Tsichlas, K. & Yoon, J. (2021). I/O-efficient 2-d orthogonal range skyline and attrition priority queues. Computational Geometry: Theory and Applications, 93, [101689]. https://doi.org/10.1016/j.comgeo.2020.101689

Axmanova, I., Kalusová, V., Danihelka, J., Dengler, J., Pergl, J., Pysek, P., Večeřa, M., Attorre, F., Biurrun, I., Boch, S., Conradi, T., Gavilán, R. G., Jimenez-Alfaro, B., Knollová, I., Kuzemko, A., Lenoir, J., Medvecká, J., Moeslund, J. E., Obratov-Petković, D. ... Chytrý, M. (2021). Neophyte invasions in European grasslands. Journal of Vegetation Science, 32(2), [e12994]. https://doi.org/10.1111/jvs.12994

Valdez, J., Brunbjerg, A. K., Fløjgaard, C., Dalby, L., Clausen, K. K., Pärtel, M., Pfeifer, N., Hollaus, M., Wimmer, M. H., Ejrnæs, R. & Moeslund, J. E. (2021). Relationships between macro-fungal dark diversity and habitat parameters using LiDAR. Fungal Ecology, 51, [101054]. https://doi.org/10.1016/j.funeco.2021.101054

Berglin, E. & Brodal, G. S. (2020). A Simple Greedy Algorithm for Dynamic Graph Orientation. Algorithmica, 82(2), 245-259. https://doi.org/10.1007/s00453-018-0528-0

Afshani, P., van Duijn, I., Killmann, R. & Nielsen, J. S. (2020). A lower bound for jumbled indexing. In S. Chawla (Ed.), Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms (pp. 592-606). Association for Computing Machinery. https://doi.org/10.1137/1.9781611975994.36

Damgaard, C., Moeslund, J. E. & Wind, P. (2020). Changes in the abundance of Danish orchids over the past 30 years. Diversity, 12(6), [244]. https://doi.org/10.3390/d12060244

Green Larsen, K., Mitzenmacher, M. & Tsourakakis, C. (2020). Clustering with a faulty oracle. In Y. Huang, I. King, T-Y. Liu & M. van Steen (Eds.), WWW '20: Proceedings of The Web Conference 2020 (pp. 2831-2834). Association for Computing Machinery. https://doi.org/10.1145/3366423.3380045

Fløjgaard, C., Valdez, J. W., Dalby, L., Moeslund, J. E., Clausen, K. K., Ejrnæs, R., Partel, M. & Brunbjerg, A. K. (2020). Dark diversity reveals importance of biotic resources and competition for plant diversity across habitats. Ecology and Evolution, 10(12), 6078-6088. https://doi.org/10.1101/685040, https://doi.org/10.1002/ece3.6351

Brodal, G. S., Sioutas, S., Tsakalidis, K. & Tsichlas, K. (2020). Fully persistent B-trees. Theoretical Computer Science, 841, 10-26. https://doi.org/10.1016/j.tcs.2020.06.027

Monnet, A-C., Vorontsova, M. S., Govaerts, R. H. A., Svenning, J-C. & Sandel, B. (2020). Historical legacies and ecological determinants of grass naturalizations worldwide. Ecography, 43(9), 1373-1385. https://doi.org/10.1111/ecog.04609

Larsen, K. G., Simkin, M. & Yeo, K. (2020). Lower Bounds for Multi-server Oblivious RAMs. In R. Pass & K. Pietrzak (Eds.), Theory of Cryptography (pp. 486-503). Springer. Lecture Notes in Computer Science Vol. 12550 https://doi.org/10.1007/978-3-030-64375-1_17

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

Grønlund, A., Kamma, L. & Larsen, K. G. (2020). Margins are Insufficient for Explaining Gradient Boosting. In H. Larochelle, MA. Ranzato, R. Hadsell, M-F. Balcan & H-T. Lin (Eds.), Advances in Neural Information Processing Systems 33 (NeurIPS 2020) https://proceedings.neurips.cc/paper/2020/hash/146f7dd4c91bc9d80cf4458ad6d6cd1b-Abstract.html

Brunbjerg, A. K., Bruun, H. H., Dalby, L., Classen, A. T., Fløjgaard, C., Frøslev, T. G., Hansen, O. L. P., Høye, T. T., Moeslund, J. E., Svenning, J-C. & Ejrnæs, R. (2020). Multi-taxon inventory reveals highly consistent biodiversity responses to ecospace variation. Oikos, 129(9), 1381-1392. https://doi.org/10.1111/oik.07145

Grønlund, A., Kamma, L. & Larsen, K. G. (2020). Near-Tight Margin-Based Generalization Bounds for Support Vector Machines. In H. Daumé III & A. Singh (Eds.), International Conference on Machine Learning (pp. 3779-3788). MLResearch Press. Proceedings of Machine Learning Research Vol. 119 http://proceedings.mlr.press/v119/gronlund20a.html

Freksen, C. B. & Larsen, K. G. (2020). On Using Toeplitz and Circulant Matrices for Johnson–Lindenstrauss Transforms. Algorithmica, 82(2), 338-354. https://doi.org/10.1007/s00453-019-00644-y

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. IEEE International Symposium on Information Theory - Proceedings Vol. 2020-June https://doi.org/10.1109/ISIT44484.2020.9174310

Zardbani, F., Afshani, P. & Karras, P. (2020). Revisiting the theory and practice of database cracking. In A. Bonifati, Y. Zhou, M. A. Vaz Salles, A. Bohm, D. Olteanu, G. Fletcher, A. Khan & B. Yang (Eds.), Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings (pp. 415-418). openproceedings.org. Advances in Database Technology - EDBT Vol. 2020-March https://doi.org/10.5441/002/edbt.2020.46

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. Lecture Notes in Computer Science Vol. 12238 https://doi.org/10.1007/978-3-030-57990-6_28

Sporbert, M., Keil, P., Seidler, G., Bruelheide, H., Jandt, U., Aćić, S., Biurrun, I., Campos, J. A., Čarni, A., Chytrý, M., Ćušterevska, R., Dengler, J., Golub, V., Jansen, F., Kuzemko, A., Lenoir, J., Marceno, C., Moeslund, J. E., Pérez-Haase, A. ... Welk, E. (2020). Testing macroecological abundance patterns: the relationship between local abundance and range size, range position and climatic suitability among European vascular plants. Journal of Biogeography, 47(10), 2210-2222. https://doi.org/10.1111/jbi.13926

Pedersen, P. B. M., Ejrnæs, R., Sandel, B. & Svenning, J. C. (2020). Trophic Rewilding Advancement in Anthropogenically Impacted Landscapes (TRAAIL): A framework to link conventional conservation management and rewilding. AMBIO, 49(1), 231-244. https://doi.org/10.1007/s13280-019-01192-z

Jiang, S. & Larsen, K. G. (2019). A Faster External Memory Priority Queue with DecreaseKeys. In T. M. Chan (Ed.), Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. PRDA19, pp. 1331-1343). Society for Industrial and Applied Mathematics. https://epubs.siam.org/doi/pdf/10.1137/1.9781611975482.81

Afshani, P. (2019). A new lower bound for semigroup orthogonal range searching. In G. Barequet & Y. Wang (Eds.), 35th International Symposium on Computational Geometry, SoCG 2019 [3] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 129 https://doi.org/10.4230/LIPIcs.SoCG.2019.3

Sporbert, M., Bruelheide, H., Seidler, G., Keil, P., Jandt, U., Austrheim, G., Biurrun, I., Campos, J. A., Čarni, A., Chytrý, M., Csiky, J., De Bie, E., Dengler, J., Golub, V., Grytnes, J-A., Indreica, A., Jansen, F., Martin Jiroušek, M., Lenoir, J. ... Welk, E. (2019). Assessing sampling coverage of species distribution in biodiversity databases. Journal of Vegetation Science, 30(4), 620-632. https://doi.org/10.1111/jvs.12763

Damgård, I., Larsen, K. G. & Nielsen, J. B. (2019). Communication Lower Bounds for Statistically Secure MPC, With or Without Preprocessing. In A. Boldyreva & D. Micciancio (Eds.), Advances in Cryptology – CRYPTO 2019 - 39th Annual International Cryptology Conference, Proceedings (Vol. II, pp. 61-84). Springer. Lecture Notes in Computer Science Vol. 11693 https://doi.org/10.1007/978-3-030-26951-7_3

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) [48] Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH. Leibniz International Proceedings in Informatics Vol. 126 https://doi.org/10.4230/LIPIcs.STACS.2019.48

Afshani, P., Fagerberg, R., Hammer, D., Jacob, R., Kostitsyna, I., Meyer, U., Penschuck, M. & Sitchinava, N. (2019). Fragile complexity of comparison-based algorithms. In M. A. Bender, O. Svensson & G. Herman (Eds.), 27th Annual European Symposium on Algorithms, ESA 2019 [2] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 144 https://doi.org/10.4230/LIPIcs.ESA.2019.2

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

Afshani, P. & Phillips, J. M. (2019). Independent range sampling, revisited again. In G. Barequet & Y. Wang (Eds.), 35th International Symposium on Computational Geometry, SoCG 2019 [4] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 129 https://doi.org/10.4230/LIPIcs.SoCG.2019.4

Moeslund, J. E., Zlinszky, A., Ejrnæs, R., Brunbjerg, A. K., Bøcher, P. K., Svenning, J. C. & Normand, S. (2019). Light detection and ranging explains diversity of plants, fungi, lichens, and bryophytes across multiple habitats and large geographic extent. Ecological Applications, 29(5), [e01907]. https://doi.org/10.1002/eap.1907

Jacob, R., Larsen, K. G. & Nielsen, J. B. (2019). Lower Bounds for Oblivious Data Structures. In T. M. Chan (Ed.), Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 2439-2447). Society for Industrial and Applied Mathematics. Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms Vol. PRDA19 https://doi.org/10.1137/1.9781611975482.149

Farhadi, A., Hajiaghayi, M. T., Larsen, K. G. & Shi, E. (2019). Lower bounds for external memory integer sorting via network coding. In M. Charikar & E. Cohen (Eds.), STOC 2019 - Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (pp. 997-1008). Association for Computing Machinery. A C M Symposium on the Theory of Computing. Annual Proceedings https://doi.org/10.1145/3313276.3316337

Afshani, P., Freksen, C. B., Kamma, L. & Larsen, K. G. (2019). Lower bounds for multiplication via network coding. Leibniz International Proceedings in Informatics, LIPIcs, 132, [10]. https://doi.org/10.4230/LIPIcs.ICALP.2019.10

Grønlund, A., Kamma, L., Larsen, K. G., Mathiasen, A. & Nelson, J. (2019). Margin-Based Generalization Lower Bounds for Boosted Classifiers. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (NIPS 2019) Neural Information Processing Systems Foundation. https://arxiv.org/abs/1909.12518

Grønlund, A., Larsen, K. G. & Mathiasen, A. (2019). Optimal Minimal Margin Maximization with Boosting. In K. Chaudhuri & R. Salakhutdinov (Eds.), Proceedings of th 36th International Conference on Machine Learning (Vol. 97, pp. 4392-4401). International Machine Learning Society (IMLS). Proceedings of Machine Learning Research Vol. 97 http://proceedings.mlr.press/v97/mathiasen19a/mathiasen19a.pdf

Fløjgaard, C., Frøslev, T. G., Brunbjerg, A. K., Bruun, H. H., Moeslund, J. E., Hansen, A. J. & Ejrnæs, R. (2019). Predicting provenance of forensic soil samples: Linking soil to ecological habitats by metabarcoding and supervised classification. PLOS ONE, 14(7), [e0202844]. https://doi.org/10.1371/journal.pone.0202844

Mimet, A., Buitenwerf, R., Sandel, B., Svenning, J-C. & Normand, S. (2019). Recent global changes have decoupled species richness from specialization patterns in North American birds. Global Ecology and Biogeography, 28(11), 1621-1635. https://doi.org/10.1111/geb.12978

McFadden, I. R., Sandel, B., Tsirogiannis, C., Morueta-Holme, N., Svenning, J. C., Enquist, B. J. & Kraft, N. J. B. (2019). Temperature shapes opposing latitudinal gradients of plant taxonomic and phylogenetic β diversity. Ecology Letters, 22(7), 1126-1135. https://doi.org/10.1111/ele.13269

Enquist, B. J., Feng, X., Boyle, B., Maitner, B., Newman, E. A., Jørgensen, P. M., Roehrdanz, P. R., Thiers, B. M., Burger, J. R., Corlett, R. T., Couvreur, T. L. P., Dauby, G., Donoghue, J. C., Foden, W., Lovett, J. C., Marquet, P. A., Merow, C., Midgley, G., Morueta-Holme, N. ... McGill, B. J. (2019). The commonness of rarity: Global and future distribution of rarity across land plants. Science Advances, 5(11), [eaaz0414]. https://doi.org/10.1126/sciadv.aaz0414

Afshani, P., Agrawal, M., Doerr, B., Doerr, C., Larsen, K. G. & Mehlhorn, K. (2019). The query complexity of a permutation-based variant of Mastermind. Discrete Applied Mathematics, 260, 28-50. https://doi.org/10.1016/j.dam.2019.01.007

Møller Pedersen, P. B., Olsen, J. B., Sandel, B. & Svenning, J. C. (2019). Wild Steps in a semi-wild setting? Habitat selection and behavior of European bison reintroduced to an enclosure in an anthropogenic landscape. PLOS ONE, 14(11), [e0198308]. https://doi.org/10.1371/journal.pone.0198308

Bruelheide, H., Dengler, J., Jiménez-Alfaro, B., Purschke, O., Hennekens, S. M., Chytrý, M., Pillar, V. D., Jansen, F., Kattge, J., Sandel, B., Aubin, I., Biurrun, I., Field, R., Haider, S., Jandt, U., Lenoir, J., Peet, R. K., Peyre, G., Sabatini, F. M. ... Zverev, A. (2019). sPlot – A new tool for global vegetation analyses. Journal of Vegetation Science, 30(2), 161-186. https://doi.org/10.1111/jvs.12710

Eiserhardt, W. L., Antonelli, A., Bennett, D. J., Botigue, L. R., Burleigh, J. G., Dodsworth, S., Enquist, B. J., Forest, F., Kim, J. T., Kozlov, A. M., Leitch, I. J., Maitner, B. S., Mirarab, S., Piel, W. H., Perez-Escobar, O. A., Pokorny, L., Rahbek, C., Sandel, B., Smith, S. A. ... Baker, W. J. (2018). A roadmap for global synthesis of the plant tree of life. American Journal of Botany, 105(3), 614-622. https://doi.org/10.1002/ajb2.1041

Afshani, P., De Berg, M., Casanova, H., Karsin, B., Lambrechts, C., Sitchinava, N. & Tsirogiannis, C. (2018). An efficient algorithm for the 1D total visibility-index problem and its parallelization. ACM Journal of Experimental Algorithmics, 23, [2.3]. https://doi.org/10.1145/3209685

Chalmandrier, L., Albouy, C., Descombes, P., Sandel, B., Faurby, S., Svenning, J-C., Zimmermann, N. E. & Pellissier, L. (2018). Comparing spatial diversification and meta-population models in the Indo-Australian Archipelago. Royal Society Open Science, 5, [171366]. https://doi.org/10.1098/rsos.171366

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. A C M. S I G A C T - S I G M O D - S I G A R T Symposium on Principles of Database Systems. Proceedings No. 2018 https://doi.org/10.1145/3188745.3188790

Groom, G. B., Bladt, J., Moeslund, J. E. & Ejrnæs, R. (2018). Developing biodiversity proxies: Technical description. Aarhus Universitet, DCE – Nationalt Center for Miljø og Energi ©. Technical Report from DCE – Danish Centre for Environment and Energy No. 123

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