Publications

Moeslund, J. E., Nygaard, B., Normand, S. & Madsen, B. (2021). Udredning af alternative datakilder i NOVANA-programmets naturtypeovervågning. Aarhus Universitet, DCE - Nationalt Center for Miljø og Energi. Videnskabelig rapport fra DCE - Nationalt Center for Miljø og Energi No. 458 https://dce2.au.dk/pub/SR458.pdf

Mailund , Brodal, G. S., Fagerberg, R., Pedersen, C. N. S. & Phillips, D. (2006). Recrafting the Neighbor-Joining Method. B M C Bioinformatics, 7(29).

Madalgo, P. A., Barbay, J. & Chan, T. M. (2017). Instance-optimal geometric algorithms. Journal of the ACM, 64(1), [3]. https://doi.org/10.1145/3046673

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. (2012). Higher Cell Probe Lower Bounds for Evaluating Polynomials. In FOCS'12: IEEE 53rd Annual Symposium on Foundations of Computer Science (pp. 293 - 301 ). IEEE Computer Society Press. https://doi.org/10.1109/FOCS.2012.21

Larsen, K. G. (2012). The Cell Probe Complexity of Dynamic Range Counting. In STOC’12 : Proceedings of the 44th symposium on Theory of Computing (pp. 85-94). Association for Computing Machinery. https://doi.org/10.1145/2213977.2213987

Larsen, K. G. & Pagh, R. (2012). I/O-Efficient Data Structures for Colored Range and Prefix Reporting. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 23, 583-592. http://siam.omnibooksonline.com/2012SODA/index.html

Larsen, K. G. & Nguyen, H. L. (2012). Improved Range Searching Lower Bounds. In Proceedings of the 2012 symposuim on Computational Geometry: Chapel Hill, NC, USA — June 17 - 20, 2012 (pp. 171-178). Association for Computing Machinery. https://doi.org/10.1145/2261250.2261275

Larsen, K. G. (2013). Models and Techniques for Proving Data Structure Lower Bounds. Department of Computer Science, Aarhus University.

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. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings http://knowledgecenter.siam.org/0236-000081/~~PdfSource/0

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. Lecture Notes in Computer Science Vol. 8486 https://doi.org/10.1007/978-3-319-07566-2_25

Larsen, K. G., Nelson, J. & Nguyen, H. L. (2015). Time Lower Bounds for Nonadaptive Turnstile Streaming Algorithms. In R. Servedio & R. Rubinfeld (Eds.), Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, STOC '15 (pp. 803-812). Association for Computing Machinery. https://doi.org/10.1145/2746539.2746542

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. & Williams, R. (2017). Faster Online Matrix-Vector Multiplication. In P. N. Klein (Ed.), Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. PRDA17, pp. 2182-2189). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611974782

Larsen, K. G., Nelson, J., Nguyen, H. L. & Thorup, M. (2016). Heavy hitters via cluster-preserving clustering. In 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 61-70). 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 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 633-638). [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. 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

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. Lecture Notes in Computer Science (LNCS) No. 10992 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. (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

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) [48] Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH. Leibniz International Proceedings in Informatics Vol. 126 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. IEEE International Symposium on Information Theory - Proceedings Vol. 2020-June 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. Lecture Notes in Computer Science Vol. 12238 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 (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., 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

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, 18-24 July 2021, Virtual Event (pp. 6011-6020). Proceedings of Machine Learning Research Vol. 139 http://proceedings.mlr.press/v139/larsen21a.html

Kutz, M., Brodal, G. S., Kaligosi, K. & Katriel, I. (2011). Faster Algorithms for Computing Longest Common Increasing Subsequences. Journal of Discrete Algorithms, 9(4), 314-325. https://doi.org/10.1016/j.jda.2011.03.013

Kejlberg-Rasmussen, C. & Brodal, G. S. (2012). Cache-Oblivious Implicit Predecessor Dictionaries with the Working-Set Property. Leibniz International Proceedings in Informatics, 14, 112--123. https://doi.org/10.4230/LIPIcs.STACS.2012.112

Kejlberg-Rasmussen, C., Tsakalidis, K. & Tsichlas, K. (2012). I/O-Efficient Dynamic Planar Range Skyline Queries. arXiv.org. http://arxiv.org/abs/1207.2341

Kejlberg-Rasmussen, C. (2013). Dynamic Data Structures: The Interplay of Invariants and Algorithm Design. Department of Computer Science, Aarhus University.

Kejlberg-Rasmussen, C., Tao, Y., Tsakalidis, K., Tsichlas, K. & Yoon, J. (2013). I/O-Efficient Planar Range Skyline and Attrition Priority Queues. In R. Hull & W. Fan (Eds.), Proceedings of the 32nd symposium on Principles of database systems , PODS '13 (pp. 103-114 ). 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 https://doi.org/10.1145/2463664.2465225

Kejlberg-Rasmussen, C., Kopelowitz, T., Pettie, S. & Porat, E. (2014). Word-packing Algorithms for Dynamic Connectivity and Dynamic Sets. (1407.6755v1 ed.) arXiv.org. http://arxiv.org/abs/1407.6755v1

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

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. Lecture Notes in Computer Science Vol. 4698 https://doi.org/10.1007/978-3-540-75520-3_32

Jørgensen, A. G., Brodal, G. S. & Mølhave, T. (2009). Fault Tolerant External Memory Algorithms. Lecture Notes in Computer Science, 5664, 411-422. https://doi.org/10.1007/978-3-642-03367-4_36

Jørgensen, A. G. & Brodal, G. S. (2009). Data Structures for Range Median Queries. Lecture Notes in Computer Science, 842-851. https://doi.org/10.1007/978-3-642-10631-6_83

Jørgensen, A. G., Brodal, G. S., Mølhave, T. & Moruz, G. (2009). Counting in the Presence of Memory Faults. Lecture Notes in Computer Science, 5878, 842-851. https://doi.org/10.1007/978-3-642-10631-6_85

Jørgensen, A. G., Greve, M., Larsen, K. D. & Truelsen, J. (2010). Cell Probe Lower Bounds and Approximations for Range Mode. Lecture Notes in Computer Science, 6198, 605-616. https://doi.org/10.1007/978-3-642-14165-2_51

Jørgensen, A. G. & Larsen, K. G. (2011). Range Selection and Median: Tight Cell Probe Lower Bounds and Adaptive Data Structures . In Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algorithms. SODA 2011 (pp. 805-813). Society for Industrial and Applied Mathematics. http://www.siam.org/proceedings/soda/2011/SODA11_062_jorgensena.pdf

Jones, M., Moeslund, J. E., Alexander, C., Bøcher, P. K. & Svenning, J-C. (2013). Near-ground temperature variability and its predictability in Denmark. Poster session presented at Biodiversitetssymposium 2013, København, Denmark.

Johannsen, V. K., Rojas, S. K., Brunbjerg, A. K., Schumacher, J., Bladt, J., Bladt, J., Nyed, P., Moeslund, J. E., Nord-Larsen, T. & Ejrnæs, R. (2015). Udvikling af et High Nature Value - HNV-skovkort for Danmark: IGN Rapport November 2015, Institut for Geovidenskab og Naturforvaltning, Københavns Universitet, Frederiksberg.

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

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. Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms

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

Høye, T. T., Olsen, K., Moeslund, J. E., Strandberg, M. T. & Kjær, C., (2019). Oversigt og status for de danske sommerfuglearter, 8 p., Notat fra DCE - Nationalt Center for Miljø og Energi https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2019/Status_danske_sommerfugle.pdf

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

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

Hedegaard Morsing, L., Sheikh-Omar, O. A. & Iosifidis, A. (2021). Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Transactions on Image Processing, 30, 8619-8631. https://doi.org/10.1109/TIP.2021.3118978

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