Publications

Alstrup, S., Bistrup Halvorsen, E. & Larsen, K. G. (2014). Near-optimal labeling schemes for nearest common ancestors. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 972-982). Association for Computing Machinery. http://www.scopus.com/inward/record.url?scp=84902108771&partnerID=8YFLogxK

Larsen, K. G. & Walderveen, F. V. (2013). Near-Optimal Range Reporting Structures for Categorical. In Proceedings of the 24th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2013 (pp. 265-276). Association for Computing Machinery. http://knowledgecenter.siam.org/0236-000081/~~PdfSource/0

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. http://proceedings.mlr.press/v119/gronlund20a.html

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), Article e12994. https://doi.org/10.1111/jvs.12994

Alstrup, S., Brodal, G. S. & Rauhe, T. (2000). New data structures for orthogonal range searching. In 41st Annual Symposium on Foundations of Computer Science, 2000. Proceedings. (pp. 198-207). IEEE Computer Society Press. https://doi.org/10.1109/SFCS.2000.892088

Clifford, R., Jørgensen, A. G. & Larsen, K. G. (2015). New Unconditional Hardness Results for Dynamic and Online Problems. In 56th IEEE Symposium on Foundations of Computer Science (FOCS) Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS IEEE Computer Society Press. http://arxiv.org/pdf/1504.01836v1.pdf

Becchetti, L., Bury, M., Cohen-Addad, V., Grandoni, F. & Schwiegelshohn, C. (2019). Oblivious dimension reduction for k-means: Beyond subspaces and the Johnson-lindenstrauss lemma. Proceedings of the Annual ACM Symposium on Theory of Computing, 1039-1050. https://doi.org/10.1145/3313276.3316318

Munteanu, A., Schwiegelshohn, C., Sohler, C. & Woodruff, D. P. (2019). On coresets for logistic regression. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), 267-268. https://doi.org/10.18420/inf2019_37

Afshani, P., de Berg, M., Buchin, K., Gao, J., Löffler, M., Nayyeri, A., Raichel, B., Sarkar, R., Wang, H. & Yang, H. T. (2022). On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem. In X. Goaoc & M. Kerber (Eds.), 38th International Symposium on Computational Geometry, SoCG 2022 Article 2 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2022.2

Arge, L., Brodal, G. S. & Toma, L. (2004). On External-Memory MST, SSP and Multi-Way Planar Graph Separation. Journal of Algorithms, 53(2), 186-206.

Arge, L. A., Brodal, G. S. & Toma, L. (2000). On External-Memory MST, SSSP, and Multi-way Planar Graph Separation. In Algorithm Theory - SWAT 2000: 7th Scandinavian Workshop on Algorithm Theory Bergen, Norway, July 5-7, 2000 Proceedings (pp. 709-715). Springer. https://doi.org/10.1007/3-540-44985-X_37

Larsen, K. G., Munro, J. I., Nielsen, J. S. & Thankachan, S. V. (2015). On hardness of several string indexing problems. Theoretical Computer Science, 582, 74-82. https://doi.org/10.1016/j.tcs.2015.03.026

Larsen, K. G., Munro, J. I., Nielsen, J. A. S. & Thankachan, S. V. (2014). On Hardness of Several String Indexing Problems. In A. Kulikov, S. O. Kuznetsov & P. Pevzner (Eds.), Combinatorial Pattern Matching: 23rd European Symposium on Programming, ESOP 2014, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2014, Grenoble, France, April 5-13, 2014, Proceedings (pp. 242-251 ). Springer VS. https://doi.org/10.1007/978-3-319-07566-2_25

Brodal, G. S., Moruz, G. & Negoescu, A. (2015). OnlineMin: A Fast Strongly Competitive Randomized Paging Algorithm. Theory of Computing Systems, 56 (1). https://doi.org/10.1007/s00224-012-9427-y

Brodal, G. S., Moruz, G. & Negoescu, A. (2012). OnlineMin: A Fast Strongly Competitive Randomized Paging Algorithm. Lecture Notes in Computer Science, 7164, 164-175 . https://doi.org/10.1007/978-3-642-29116-6_14

Brodal, G. S., Fagerberg, R., Greve, M. & López-Ortis, A. (2009). Online Sorted Range Reporting. Lecture Notes in Computer Science, 5878, 173-182. https://doi.org/10.1007/978-3-642-10631-6_19

Larsen, K. G. (2011). On Range Searching in the Group Model and Combinatorial Discrepancy. In 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science (FOCS) (pp. 542-549). IEEE Computer Society Press. https://doi.org/10.1109/FOCS.2011.14

Larsen, K. G. (2014). ON range searching in the group model and combinatorial discrepancy. S I A M Journal on Computing, 43(2), 673-686. https://doi.org/10.1137/120865240

Afshani, P. & Cheng, P. (2022). On Semialgebraic Range Reporting. In X. Goaoc & M. Kerber (Eds.), 38th International Symposium on Computational Geometry, SoCG 2022 Article 3 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2022.3

Davoodi, P., Brodal, G. S. & Rao, S. S. (2010). On Space Efficient Two Dimensional Range Minimum Data Structures. Lecture Notes in Computer Science, 6347, Part 2 , 171-182. https://doi.org/10.1007/978-3-642-15781-3_15

Brodal, G. S., Davoodi, P. & Rao, S. S. (2012). On Space Efficient Two Dimensional Range Minimum Data Structures. Algorithmica, 63(4), 815-830. https://doi.org/10.1007/s00453-011-9499-0

Brodal, G. S., Fagerberg, R. & Moruz, G. (2005). On the Adaptiveness of Quicksort. In ALENEX05 (pp. 130-140). Society for Industrial and Applied Mathematics.

Brodal, G. S., Fagerberg, R. & Moruz, G. (2004). On the Adaptiveness of Quicksort. B R I C S Report Series, (RS-04-27).

Brodal, G. S., Fagerberg, R. & Moruz, G. (2008). On the Adaptiveness of Quicksort. Journal of Experimental Algorithmics, 12. https://doi.org/10.1145/1227161.1402294

Brodal, G. S., Fagerberg, R. & Goemans, M. X. (Ed.) (2003). On the Limits of Cache-Obliviousness. In Proceedings of the thirty-fifth annual ACM symposium on Theory of computing (pp. 307-315). Association for Computing Machinery. https://doi.org/10.1145/780542.780589

Holt, M. K., Johansen, J. & Brodal, G. S. (2014). On the Scalability of Computing Triplet and Quartet Distances. In C. C. McGeoch & U. Meyer (Eds.), 2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and Experiments (ALENEX) (pp. 9-19). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611973198.2

Freksen, C. B. & Larsen, K. G. (2017). On Using Toeplitz and Circulant Matrices for Johnson-Lindenstrauss Transforms. In O. Yoshio & T. Tokuyama (Eds.), 28th International Symposium on Algorithms and Computation (ISAAC 2017) (pp. 32:1-32:12). Article 32 Schloss Dagstuhl--Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ISAAC.2017.32

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

Bladt, J., Brunbjerg, A. K., Moeslund, J. E., Petersen, A. H. & Ejrnæs, R. (2016). Opdatering af lokal bioscore for biodiversitetskortet for Danmark 2015. In DCE rapport http://dce2.au.dk/pub/TR74.pdf

Dalsgaard, P., Pedersen, B. P., Dimke, H., Møller, N. M., Normand, S., Bjørk, R., Bille, M. & Larsen, K. G. (2018). Opholdskrav i skatteaftale hæmmer dansk forskning. Politiken, (Sektion 2 (Kultur)), 7.

Afshani, P. & Tsakalidis, K. (2014). Optimal deterministic shallow cuttings for 3D dominance ranges. In C. Chekuri (Ed.), Proceedings of the 25th Annual ACM-SIAM Symposium on Discrete Algorithms: SODA 2014; Portland, OR; United States; 5 January 2014 through 7 January 2014 (pp. 1389-1398 ). Association for Computing Machinery. http://www.scopus.com/inward/record.url?scp=84902105500&partnerID=8YFLogxK

Afshani, P. & Tsakalidis, K. (2018). Optimal Deterministic Shallow Cuttings for 3-d Dominance Ranges. Algorithmica, 80(11), 3192-3206. https://doi.org/10.1007/s00453-017-0376-3

Brodal, G. S., Lagogiannis, G., Makris, C., Tsakalidis, A. & Tsichlas, K. (2003). Optimal Finger Search Trees in the Pointer Machine. Journal of Computer and System Sciences, 67(2), 381-418. https://doi.org/10.1016/S0022-0000(03)00013-8

Bartal, Y., Fandina, O. N. & Larsen, K. G. (2022). Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures. In X. Goaoc & M. Kerber (Eds.), 38th International Symposium on Computational Geometry, SoCG 2022 Article 13 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2022.13

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., 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

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

Jafargholi, Z., Larsen, K. G. & Simkin, M. (2021). Optimal oblivious priority queues. In D. Marx (Ed.), ACM-SIAM Symposium on Discrete Algorithms, SODA 2021 (pp. 2366-2383). Association for Computing Machinery.

Brodal, G. S. & Larsen, K. G. (2014). Optimal Planar Orthogonal Skyline Counting Queries. In R. Ravi & I. L. Gørtz (Eds.), Algorithm Theory – SWAT 2014: 14th Scandinavian Symposium and Workshops, Denmark. Proceedings (pp. 110-121). Springer VS. https://doi.org/10.1007/978-3-319-08404-6_10

Brodal, G. S. & Okasaki, C. (1996). Optimal purely functional priority queues. Journal of Functional Programming, 6(6), 839-858. https://doi.org/10.1017/S095679680000201X

Jørgensen, A. G., Brodal, G. S., Moruz, G., Mølhave, T., Fagerberg, R., Finocchi, I., Grandoni, F. & Italiano, G. F. (2007). Optimal Resilient Dynamic Dictionaries. In L. Arge, M. Hoffmann & E. Welzl (Eds.), Algorithms – ESA 2007: 15th Annual European Symposium, Eilat, Israel, October 8-10, 2007. Proceedings (pp. 347-358). Springer. https://doi.org/10.1007/978-3-540-75520-3_32

Brodal, G. S., Makris, C., Sioutas, S., Tsakalidis, A. K. & Tsichlas, K. (2002). Optimal Solutions for the Temporal Precedence Problem. Algorithmica, 33(4), 494-510. https://doi.org/10.1007/s00453-002-0935-z

Bender, M. A., Brodal, G. S., Fagerberg, R., Jacob, R. & Vicari, E. (2007). Optimal Sparse Matrix Dense Vector Multiplication in the I/O-Model. In SPAA 2007: Proceedings of the 19th Annual ACM Symposium on Parallel Algorithms and Architectures (pp. 61-70) https://doi.org/10.1145/1248377.1248391

Bender, M. A., Brodal, G. S., Fagerberg, R., Jacob, R. & Vicari, E. (2010). Optimal Sparse Matrix Dense Vector Multiplication in the I/O-Model. Theory of Computing Systems, 47(4), 934-962. https://doi.org/10.1007/s00224-010-9285-4

Alstrup, S., Brodal, G. S. & Rauhe, T. (2001). Optimal Static Range Reporting in One Dimension. In Proceedings of the thirty-third annual ACM symposium on Theory of computing (pp. 476-482). Association for Computing Machinery. https://doi.org/10.1145/380752.380842

Afshani, P., Brodal, G. S. & Zeh, N. (2011). Ordered and Unordered Top-K Range Reporting in Large Data Sets. In Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algoritms. SODA 2011 (pp. 390-400). Society for Industrial and Applied Mathematics. http://www.siam.org/proceedings/soda/2011/SODA11_031_afshanip.pdf

Afshani, P., Arge, L. A. & Larsen, K. D. (2009). Orthogonal Range Reporting in Three and Higher Dimensions. Symposium on Foundations of Computer Science. Annual Proceedings, 149-158. https://doi.org/10.1109/FOCS.2009.58

Afshani, P., Arge, L. A. & Larsen, K. D. (2010). Orthogonal Range Reporting: Query Lower Bounds, Optimal Structures in 3-d, and Higher Dimensional Improvements. Annual A C M Symposium on Computational Geometry. Proceedings, 240-246. https://doi.org/10.1145/1810959.1811001

Chan, T. M., Larsen, K. G. & Patrascu, M. (2011). Orthogonal Range Searching on the RAM, Revisited. In Proceedings of the 27th annual ACM symposium on Computational geometry (pp. 1-10). Association for Computing Machinery. https://doi.org/10.1145/1998196.1998198

Moeslund, J. E., (2021). Oversigter over forekomsten af rødlistede arter, 212 p., Fagligt notat fra DCE – Nationalt Center for Miljø og Energi Vol. 2021 No. 24 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2021/N2021_24.pdf

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