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Publications

Afshani, P. & Cheng, P. (2023). Lower Bounds for Intersection Reporting Among Flat Objects. In E. W. Chambers & J. Gudmundsson (Eds.), 39th International Symposium on Computational Geometry, SoCG 2023 Article 3 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2023.3
Afshani, P., Nekrich, Y. & Staals, F. (2025). Convexity Helps Iterated Search in 3D. In O. Aichholzer & H. Wang (Eds.), 41st International Symposium on Computational Geometry, SoCG 2025 Article 3 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2025.3
Afshani, P. & Schwiegelshohn, C. (2024). Optimal Coresets for Low-Dimensional Geometric Median. In International Conference on Machine Learning (pp. 262-270). PMLR.
Afshani, P., Buchin, M., Driemel, A., Richter, M. & Wong, S. (2025). Property Testing of Curve Similarity. In A. Benoit, H. Kaplan, S. Wild, S. Wild & G. Herman (Eds.), 33rd Annual European Symposium on Algorithms, ESA 2025 Article 84 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2025.84
Afshani, P. & Sitchinava , N. (2025). A Cell Probe Lower Bound for the Predecessor Search Problem in PRAM. In ACACM-SIAM Symposium on Discrete Algorithms, SODA 2025 (pp. 3998-4008). Association for Computing Machinery. https://doi.org/10.1137/1.9781611978322.136
Afshani, P., Storandt, S. & Bosch, Y. (2025). Circle-Segment Intersection Queries in Connected Geometric Graphs. In 36th International Symposium on Algorithms and Computation (ISAAC 2025) (pp. 3:1-3:16). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ISAAC.2025.3
Agarwal, P. K., Arge, L. A., Brodal, G. S. & Vitter, J. S. (1999). I/O-efficient dynamic point location in monotone planar subdivisions. In Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms (pp. 11-20). Association for Computing Machinery.
Alamdari, S., Angelini, P., Chan, T. M., Di Battista, G., Frati, F., Lubiw, A., Patrignani, M., Roselli, V., Singla, S. & Wilkinson, B. T. (2013). Morphing Planar Graph Drawings with a Polynomial Number of Steps. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 24, 1656-1667. http://knowledgecenter.siam.org/0236-000137/0236-000137/1
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
Alon, N., Grønlund, A., Jørgensen, S. F. & Larsen, K. G. (2024). Sublinear Time Shortest Path in Expander Graphs. In R. Kralovic & A. Kucera (Eds.), 49th International Symposium on Mathematical Foundations of Computer Science, MFCS 2024 (pp. 8:1-8:13). Article 8 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.MFCS.2024.8
Alon, N., Bousquet, O., Larsen, K. G., Moran, S. & Moran, S. (2024). Diagonalization Games. The American Mathematical Monthly, 131(10), 866-879. https://doi.org/10.1080/00029890.2024.2393992
Alstrup, S., Brodal, G. S., Gørtz, I. L. & Rauhe, T. (2001). Time and Space Efficient Multi-Method Dispatching. Electronic Colloquium on Computational Complexity, (ITU-TR-2001-8).
Alstrup, S., Brodal, G. S., Gørtz, I. L. & Rauhe, T. (2002). Time and Space Efficient Multi-Method Dispatching. In M. Penttonen & E. M. Schmidt (Eds.), Algorithm Theory — SWAT 2002: 8th Scandinavian Workshop on Algorithm Theory Turku, Finland, July 3–5, 2002 Proceedings (pp. 20-29). Springer. https://doi.org/10.1007/3-540-45471-3_3
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
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
Alstrup, S., Brodal, G. S. & Rauhe, T. (2000). Pattern matching in dynamic texts. In D. Shmoys (Ed.), Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms (pp. 819-828). Society for Industrial and Applied Mathematics.
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
Anagnostopoulos, A., Becchetti, L., Fazzone, A., Menghini, C. & Schwiegelshohn, C. (2020). Spectral Relaxations and Fair Densest Subgraphs. In CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management (pp. 35–44) https://doi.org/10.1145/3340531.3412036
Anagnostopoulos, A., Angeletti, F., Arcangeli, F., Schwiegelshohn, C. & Vitaletti, A. (2019). Random projection to preserve patient privacy. CEUR Workshop Proceedings, 2482.
Arge, L., Brodal, G. S., Fagerberg, R. & Laustsen, M. (2005). Cache-Oblivious Planar Orthogonal Range Searching and Counting. In Proceedings of the twenty-first annual symposium on Computational geometry (pp. 160-169). Association for Computing Machinery. https://doi.org/10.1145/1064092.1064119
Arge, L., Brodal, G. S. & Fagerberg, R. (2005). Cache-Oblivious Data Structures. In D. Mehta & S. Sahni (Eds.), Handbook of Data Structures and Applications CRC Press.
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., Brodal, G. S. & Satti, S. R. (2008). External Memory Planar Point Location with Logarithmic Updates. In M. Teilaud (Ed.), Proceedings of the twenty-fourth annual symposium on Computational geometry (pp. 139-147). Association for Computing Machinery. https://doi.org/10.1145/1377676.1377699
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
Arge, L. A., Larsen, K. G., Mølhave, T. & Walderveen, F. V. (2010). Cleaning Massive Sonar Point Clouds. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems. GIS '10 (pp. 152-161). Association for Computing Machinery. https://doi.org/10.1145/1869790.1869815
Arge, L., Afshani, P. & Larsen, K. G. (2012). Higher-dimensional Orthogonal Range Reporting and Rectangle Stabbing in the Pointer Machine Model. In Proceedings of the 2012 Symposuim on Computational Geometry (pp. 323-338). Association for Computing Machinery. https://doi.org/10.1145/2261250.2261299
Arge, L., Brodal, G. S., Truelsen, J. & Tsirogiannis, C. (2013). An optimal and practical cache-oblivious algorithm for computing multiresolution rasters. In Algorithms – ESA 2013: 21st Annual European Symposium, Sophia Antipolis, France, September 2-4, 2013. Proceedings (pp. 61-72). Springer VS. https://doi.org/10.1007/978-3-642-40450-4_6
Asilis, J., Høgsgaard, M. M. & Velegkas, G. (2025). Understanding Aggregations of Proper Learners in Multiclass Classification. In Proceedings of The 36th International Conference on Algorithmic Learning Theory (pp. 89-111). PMLR.
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
Barnabo, G., Leonardi, S., Fazzone, A. & Schwiegelshohn, C. (2019). Algorithms for fair team formation in online labour marketplaces. The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019, 484-490. https://doi.org/10.1145/3308560.3317587
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 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2022.13
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
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
Belazzougui, D., Brodal, G. S. & Nielsen, J. A. S. (2014). Expected linear time sorting for word size Ω(log2 n log log n). In R. Ravi & I. L. Gørtz (Eds.), Algorithm Theory – SWAT 2014: 14th Scandinavian Symposium and Workshops, Copenhagen, Denmark, July 2-4, 2014. Proceedings (pp. 26-37). Springer VS. https://doi.org/10.1007/978-3-319-08404-6_3
Bender, M. A., Brodal, G. S., Fagerberg, R., Ge, D., He, S., Hu, H., Iacono, J. & López-Ortiz, A. (2003). The Cost of Cache-Oblivious Searching. In Proc. 44th Annual IEEE Symposium on Foundations of Computer Science (FOCS): IEEE Computer Society Press, Washington D.C. (Vol. Session 6, pp. 271-282). IEEE Computer Society Press.
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
Bender, M. A., Brodal, G. S., Fagerberg, R., Ge, D., He, S., Hu, H., Iacono, J. & López-Ortiz, A. (2011). The Cost of Cache-Oblivious Searching. Algorithmica, 61(2), 463-505. https://doi.org/10.1007/s00453-010-9394-0
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
Biniaz, A., Maheshwari, A., Merrild, M. C. R., Mitchell, J. S. B., Odak, S., Polishchuk, V., Robson, E. W., Rysgaard, C. M., Schou, J. K. R., Shermer, T., Spalding-Jamieson, J., Svenning, R. & Zheng, D. W. (2025). Polynomial-Time Algorithms for Contiguous Art Gallery and Related Problems. In O. Aichholzer & H. Wang (Eds.), 41st International Symposium on Computational Geometry, SoCG 2025 (pp. 20:1-20:21). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2025.20