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Publications

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
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, Article 2.3. https://doi.org/10.1145/3209685
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
Groom, G. B., Bladt, J., Moeslund, J. E. & Ejrnæs, R. (2018). Developing biodiversity proxies: Technical description. Aarhus University, DCE - Danish Centre for Environment and Energy. Technical Report from DCE – Danish Centre for Environment and Energy No. 123
Freksen, C. B., Kamma, L. & Larsen, K. G. (2018). Fully Understanding the Hashing Trick. 5389-5399. Poster session presented at Neural Information Processing Systems Conference, Montreal, Canada.
Afshani, P. & Driemel, A. (2018). On the complexity of range searching among curves. In A. Czumaj (Ed.), 29th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2018 (pp. 898-917). Association for Computing Machinery. https://doi.org/10.1137/1.9781611975031.58
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.
Tsourakakis, C. E., Mitzenmacher, M., Larsen, K. G., Blasiok, J., Lawson, B., Nakkiran, P. & Nakos, V. (2018). Predicting Positive and Negative Links with Noisy Queries: Theory Practice. arxiv.org. http://arxiv.org/abs/1709.07308
Bury, M., Schwiegelshohn, C. & Sorella, M. (2018). Sketch 'em all: Fast approximate similarity search for dynamic data streams. WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining, 72-80. https://doi.org/10.1145/3159652.3159694
Chakraborty, D., Kamma, L. & Larsen, K. G. (2018). Tight cell probe bounds for succinct boolean matrix-Vector multiplication. In STOC 2018 - Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing (pp. 1297-1306). Association for Computing Machinery. https://doi.org/10.1145/3188745.3188830
Clifford, R., Grønlund, A., Larsen, K. G. & Starikovskaya, T. (2018). Upper and lower bounds for dynamic data structures on strings. In R. Niedermeier & B. Vallée (Eds.), 35th Symposium on Theoretical Aspects of Computer Science, STACS 2018 (Vol. 96, pp. 22:1-22:14). Article 22 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.STACS.2018.22
Ejrnæs, R., Moeslund, J. E., Brunbjerg, A. K., Groom, G. B. & Bladt, J. (2018). Videreudvikling af lokal bioscore for biodiversitetskortet for Danmark. Aarhus University, DCE - Danish Centre for Environment and Energy. Teknisk rapport fra DCE - Nationalt Center for Miljø og Energi Vol. 122 http://dce2.au.dk/pub/TR122.pdf
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
Bringmann, K., Grønlund, A. & Larsen, K. G. (2017). A Dichotomy for Regular Expression Membership Testing. In Proceedings - 58th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2017 (pp. 307-318). Article 8104068 IEEE Computer Society Press. https://doi.org/10.1109/FOCS.2017.36
Afshani, P., De Berg, M., Casanova, H., Karsin, B., Lambrechts, C., Sitchinava, N. & Tsirogiannis, C. (2017). An efficient algorithm for the 1D total visibility-index problem. In S. Fekete & V. Ramachandran (Eds.), 2017 Proceedings of the Ninteenth Workshop on Algorithm Engineering and Experiments (ALENEX) (Vol. PRAL17, pp. 218-231). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611974768.18
Berglin, E. & Brodal, G. S. (2017). A simple greedy algorithm for dynamic graph orientation. In Y. Okamoto & T. Tokuyama (Eds.), 28th International Symposium on Algorithms and Computation (ISAAC 2017) (pp. 12:1-12:12). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ISAAC.2017.12
Brodal, G. S. & Mampentzidis, K. (2017). Cache oblivious algorithms for computing the triplet distance between trees. In K. Pruhs & C. Sohler (Eds.), 25th European Symposium on Algorithms, ESA 2017 (Vol. 87, pp. 21:1--21:14). Article 21 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2017.21
Afshani, P., Bender, M. A., Farach-Colton, M., Fineman, J. T., Goswami, M. & Tsai, M. T. (2017). Cross-Referenced dictionaries and the limits of write optimization. In P. N. Klein (Ed.), 28th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2017 (pp. 1523-1532). Association for Computing Machinery. https://doi.org/10.1137/1.9781611974782.99
Eenberg, K., Larsen, K. G. & Yu, H. (2017). DecreaseKeys are expensive for external memory priority queues. In STOC 2017 - Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing (Vol. Part F128415, pp. 1081-1093). Association for Computing Machinery. https://doi.org/10.1145/3055399.3055437
Larsen, K. G. & Williams, R. (2017). Faster Online Matrix-Vector Multiplication. In P. N. Klein (Ed.), 28th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2017 (Vol. PRDA17, pp. 2182-2189). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611974782
Peterka, T., Hájek, M., Jiroušek, M., Jiménez-Alfaro, B., Aunina, L., Bergamini, A., Dítě, D., Felbaba-Klushyna, L., Graf, U., Hájková, P., Hettenbergerová, E., Ivchenko, T. G., Jansen, F., Koroleva, N. E., Lapshina, E. D., Lazarević, P. M., Moen, A., Napreenko, M. G., Pawlikowski, P. ... Chytrý, M. (2017). Formalized classification of European fen vegetation at the alliance level. Applied Vegetation Science, 20(1), 124-142. https://doi.org/10.1111/avsc.12271
Alamdari, S., Angelini, P., Barrera-Cruz, F., Chan, T. M., Da Lozzo, G., Di Battista, G., Frati, F., Haxell, P., Lubiw, A., Patrignani, M., Roselli, V., Singla, S. & Wilkinson, B. T. (2017). How to Morph Planar Graph Drawings. S I A M Journal on Computing, 46(2), 824-852. https://doi.org/10.1137/16M1069171
Afshani, P. & Wei, Z. (2017). Independent range sampling, revisited. In K. Pruhs & C. Sohler (Eds.), 25th European Symposium on Algorithms, ESA 2017 (Vol. 87, pp. 3:1--3:14). Article 3 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2017.3
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
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 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ISAAC.2017.32
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
Afshani, P. & Van Duijn, I. (2017). Permuting and batched geometric lower bounds in the I/O model. In K. Pruhs & C. Sohler (Eds.), 25th European Symposium on Algorithms, ESA 2017 (Vol. 87, pp. 2:1-2:13). Article 2 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2017.2
Chan, T. M. & Wilkinson, B. T. (2016). Adaptive and approximate orthogonal range counting. ACM Transactions on Algorithms, 12(4), 45:1-45:15. Article 45. https://doi.org/10.1145/2830567
Bladt, J., Brunbjerg, A. K., Moeslund, J. E., Petersen, A. H. & Ejrnæs, R., (2016). Appendix 6: Opdatering af biodiversitetskortet for Danmark 2015, 10 p., Notat fra DCE - Nationalt Center for Miljø og Energi (2011-2019)
Afshani, P., Berglin, E., Van Duijn, I. & Nielsen, J. S. (2016). Applications of incidence bounds in point covering problems. In S. Fekete & A. Lubiw (Eds.), 32nd International Symposium on Computational Geometry, SoCG 2016 (Vol. 51, pp. 60.1-60.15). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2016.60
Yon, J., Won, S. B., Cheng, S. W., Cheong, O. & Wilkinson, B. T. (2016). Approximating convex shapes with respect to symmetric difference under homotheties. In S. Fekete & A. Lubiw (Eds.), 32nd International Symposium on Computational Geometry, SoCG 2016 (Vol. 51, pp. 63.1-63.15). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2016.63
Afshani, P. & Nielsen, J. A. S. (2016). Data Structure Lower Bounds for Document Indexing Problems. In I. Chatzigiannakis, M. Mitzenmacher, Y. Rabani & D. Sangiorgi (Eds.), 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016) (Vol. 55, pp. 93:1-93:15). Article 93 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ICALP.2016.93
Brodal, G. S. (2016). External Memory Three-Sided Range Reporting and Top-k Queries with Sublogarithmic Updates. In N. Ollinger & H. Vollmer (Eds.), 33rd Symposium on Theoretical Aspects of Computer Science (STACS 2016) (Vol. 47, pp. 23:1-23:14). Article 23 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.STACS.2016.23
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
Baum, C., Damgård, I. B., Larsen, K. G. & Nielsen, M. (2016). How to prove knowledge of small secrets. In J. Katz & M. Robshaw (Eds.), Advances in Cryptology - 36th Annual International Cryptology Conference, CRYPTO 2016, Proceedings: CRYPTO 2016: Advances in Cryptology – CRYPTO 2016 (Vol. 9816, pp. 478-498). Springer VS. https://doi.org/10.1007/978-3-662-53015-3_17
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
Goswami, M., Jørgensen, A. G., Larsen, K. G. & Pagh, R. (2015). Approximate Range Emptiness in Constant Time and Optimal Space. In Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '15 (pp. 769-775). Society for Industrial and Applied Mathematics. http://dl.acm.org/citation.cfm?id=2133036&picked=prox
Brodal, G. S., Sioutas, S., Pantazos, K. & Zaroliagis, C. D. (2015). D2-tree: A new overlay with deterministic bounds. Algorithmica, 72(3), 860-883. https://doi.org/10.1007/s00453-014-9878-4
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.