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Department of Computer Science

Publications

Møller, A. & Veileborg, O. H. (2020). Eliminating abstraction overhead of Java stream pipelines using ahead-of-time program optimization. Proceedings of the ACM on Programming Languages , 4(OOPSLA), Article 168. https://doi.org/10.1145/3428236

Nielsen, B. B., Torp, M. T. & Møller, A. (2020). Detecting Locations in JavaScript Programs Affected by Breaking Library Changes. Proceedings of the ACM on Programming Languages , 4(OOPSLA), Article 187. https://doi.org/10.1145/3428255

Nielsen, B. B. & Møller, A. (2020). Value Partitioning: A Lightweight Approach to Relational Static Analysis for JavaScript. In 34th European Conference on Object-Oriented Programming, ECOOP 2020 Article 16 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2020.16

Pavlogiannis, A. (2020). Fast, Sound, and Effectively Complete Dynamic Race Prediction. Proceedings of the ACM on Programming Languages , 4(POPL), 1-29. Article 17. https://doi.org/10.1145/3371085

Pavlogiannis, A., Schaumberger, N., Schmid, U. & Chatterjee, K. (2020). Precedence-Aware Automated Competitive Analysis of Real-Time Scheduling. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(11), 3981-3992. Article 9211419. https://doi.org/10.1109/TCAD.2020.3012803

Pavlogiannis, A. (2020). The Fine-Grained Complexity of Andersen's Pointer Analysis. ArXiv. https://arxiv.org/abs/2006.01491

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, Article 2. https://doi.org/10.3389/fnins.2020.00002

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, Article 116816. https://doi.org/10.1016/j.neuroimage.2020.116816

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians. European Journal of Neuroscience, 51(11), 2250-2269. https://doi.org/10.1111/ejn.14667

Staicu, C. A., Torp, M. T., Schafer, M., Møller, A. & Pradel, M. (2020). Extracting Taint Specifications for JavaScript Libraries. In ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering (pp. 198-209). Article 3380390 Association for Computing Machinery. https://doi.org/10.1145/3377811.3380390

Stiévenart, Q. & Madsen, M. (2020). Fuzzing channel-based concurrency runtimes using types and effects. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428254

Tkadlec, J., Pavlogiannis, A., Chatterjee, K. & Nowak, M. A. (2020). Limits on amplifiers of natural selection under death-Birth updating. PLoS Computational Biology, 16(1), Article e1007494. https://doi.org/10.1371/journal.pcbi.1007494

Agarwal, P., Chatterjee, K., Pathak, S., Pavlogiannis, A. & Toman, V. (2021). Stateless Model Checking Under a Reads-Value-From Equivalence. In A. Silva, K. Rustan & M. Leino (Eds.), Computer Aided Verification - 33rd International Conference, CAV 2021, Proceedings: Proceedings (Vol. 1, pp. 341-366). Springer. https://doi.org/10.1007/978-3-030-81685-8_16

Bui, T. L., Chatterjee, K., Gautam, T., Pavlogiannis, A. & Toman, V. (2021). The reads-from equivalence for the TSO and PSO memory models. Proceedings of the ACM on Programming Languages , 5(OOPSLA), Article 164. https://doi.org/10.1145/3485541

Chatterjee, K., Ibsen-Jensen, R. & Pavlogiannis, A. (2021). Faster algorithms for quantitative verification in bounded treewidth graphs. Formal Methods in System Design, 57(3), 401-428. https://doi.org/10.1007/s10703-021-00373-5

Chatterjee, K., Ibsen-Jensen, R. & Pavlogiannis, A. (2021). Quantitative Verification on Product Graphs of Small Treewidth. In 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2021) (Vol. ´, pp. 42:1-42:23). Article 42 https://doi.org/10.4230/LIPIcs.FSTTCS.2021.42

Dattada, V. V. M., Sasidharan, S., Hojlund, A. & Sridharan, K. S. (2021). How Does Deep Brain Stimulation Affect Magnetoencephalography Data? In 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021 - Proceedings (pp. 307-312). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DISCOVER52564.2021.9663715

Hansen, J. C., Kjelstrøm, A. H. & Pavlogiannis, A. (2021). Tight bounds for reachability problems on one-counter and pushdown systems. Information Processing Letters, 171, Article 106135. https://doi.org/10.1016/j.ipl.2021.106135

Hyder, R., Jensen, M., Højlund, A., Kimppa, L., Bailey, C. J., Schaldemose, J. L., Kinnerup, M. B., Østergaard, K. & Shtyrov, Y. (2021). Functional connectivity of spoken language processing in early-stage Parkinson's disease: An MEG study. NeuroImage: Clinical, 32, Article 102718. https://doi.org/10.1016/j.nicl.2021.102718

Hyder, R., Højlund, A., Jensen, M., Johnsen, E. L., Østergaard, K. & Shtyrov, Y. (2021). STN-DBS affects language processing differentially in Parkinson's disease: Multiple-case MEG study. Acta Neurologica Scandinavica, 144(2), 132-141. https://doi.org/10.1111/ane.13423

Kulkarni, R., Mathur, U. & Pavlogiannis, A. (2021). Dynamic Data-Race Detection Through the Fine-Grained Lens. In S. Haddad & D. Varacca (Eds.), 32nd International Conference on Concurrency Theory (CONCUR 2021) (pp. 16:1-16:23). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.CONCUR.2021.16

Larsen, K. G., Starup, J. L. & Steensgaard, J. (2021). Further Unifying the Landscape of Cell Probe Lower Bounds. 224-231. Paper presented at Happening virtually , -. https://cs.au.dk/~larsen/papers/FurtherUnifying.pdf

Madsen, M. & Van De Pol, J. (2021). Relational nullable types with Boolean unification. Proceedings of the ACM on Programming Languages , 5(OOPSLA), 1-28. Article 110. https://doi.org/10.1145/3485487

Mathiasen, A. A. & Pavlogiannis, A. (2021). The Fine-Grained and Parallel Complexity of Andersen’s Pointer Analysis. Proceedings of the ACM on Programming Languages , 5(POPL), Article 34. https://doi.org/10.1145/3434315

Mathur, U., Pavlogiannis, A. & Viswanathan, M. (2021). Optimal Prediction of Synchronization-Preserving Races. Proceedings of the ACM on Programming Languages , 5(POPL), Article 36. https://doi.org/10.1145/3434317

Møller, A. & Sridharan, M. (Eds.) (2021). 35th European Conference on Object-Oriented Programming, ECOOP 2021, July 11-17, 2021, Aarhus, Denmark (Virtual Conference). In A. Møller & M. Sridharan (Eds.), 35th European Conference on Object-Oriented Programming (ECOOP 2021) (pp. vii-ix). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2021.0

Møller, C., Garza-Villarreal, E. A., Hansen, N. C., Højlund, A., Bærentsen, K. B., Chakravarty, M. M. & Vuust, P. (2021). Audiovisual structural connectivity in musicians and non-musicians: a cortical thickness and diffusion tensor imaging study. Scientific Reports, 11(1), Article 4324. https://doi.org/10.1038/s41598-021-83135-x

Nielsen, B. B., Torp, M. T. & Møller, A. (2021). Modular call graph construction for security scanning of Node.js applications. In C. Cadar & X. Zhang (Eds.), ISSTA 2021 - Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 29-41). Association for Computing Machinery. https://doi.org/10.1145/3460319.3464836

Nielsen, B. B., Torp, M. T. & Møller, A. (2021). Semantic Patches for Adaptation of JavaScript Programs to Evolving Libraries. In Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering, ICSE 2021 (pp. 74-85). IEEE. https://doi.org/10.1109/ICSE43902.2021.00020

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2021). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing: The CI MuMuFe. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

Quiroga-Martinez, D. R., Hansen, N. C., Hojlund, A., Pearce, M., Brattico, E., Holmes, E., Friston, K. & Vuust, P. (2021). Musicianship and melodic predictability enhance neural gain in auditory cortex during pitch deviance detection. Human Brain Mapping, 42(17), 5595-5608. https://doi.org/10.1002/hbm.25638

Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K., Brattico, E., Vuust, P. & Petersen, B. (2021). Adapting to the sound of music - Development of music discrimination skills in recently implanted cochlear implant users. Poster session presented at 3rd Music & Cohlear Implants Symposium, Cambridge [+ online], United Kingdom.

Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K., Brattico, E., Vuust, P. & Petersen, B. (2021). Adapting to the sound of music - Development of music discrimination skills in recently implanted cochlear implant users. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

Tkadlec, J., Pavlogiannis, A., Chatterjee, K. & Nowak, M. A. (2021). Fast and strong amplifiers of natural selection. Nature Communications, 12(1), Article 4009. https://doi.org/10.1038/s41467-021-24271-w

Vibholm, A. K., Dietz, M. J., Beniczky, S., Christensen, J., Højlund, A., Jacobsen, J., Bender, D., Møller, A. & Brooks, D. J. (2021). Activated N-methyl-D-aspartate receptor ion channels detected in focal epilepsy with [¹⁸F]GE-179 positron emission tomography. Epilepsia, 62(12), 2899-2908. https://doi.org/10.1111/epi.17074

Ahmadi, A., Daliri, M., Goharshady, A. K. & Pavlogiannis, A. (2022). Efficient approximations for cache-conscious data placement. In R. Jhala & I. Dillig (Eds.), Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 857-871). Association for Computing Machinery. https://doi.org/10.1145/3519939.3523436

Brendborg, J., Karras, P., Pavlogiannis, A., Rasmussen, A. U. & Tkadlec, J. (2022). Fixation Maximization in the Positional Moran Process. Proceedings of the AAAI Conference on Artificial Intelligence, 36(9, AAAI Technical Track on Multiagent Systems), 9304-9312. https://doi.org/10.1609/aaai.v36i9.21160

Chatterjee, K., Svoboda, J., Žikelić, Đ., Pavlogiannis, A. & Tkadlec, J. (2022). Social balance on networks: Local minima and best-edge dynamics. Physical Review E, 106(3), Article 034321. https://doi.org/10.1103/PhysRevE.106.034321

Durocher, L., Karras, P., Pavlogiannis, A. & Tkadlec, J. (2022). Invasion Dynamics in the Biased Voter Process. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (pp. 265-271). IJCAI Organization. https://doi.org/10.24963/ijcai.2022/38

Ganardi, M., Majumdar, R., Pavlogiannis, A., Schütze, L. & Zetzsche, G. (2022). Reachability in Bidirected Pushdown VASS. In M. Bojanczyk, E. Merelli & D. P. Woodruff (Eds.), 49th EATCS International Conference on Automata, Languages, and Programming, ICALP 2022 Article 124 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ICALP.2022.124

Hansen, N. C., Højlund, A., Møller, C., Pearce, M. & Vuust, P. (2022). Musicians show more integrated neural processing of contextually relevant acoustic features. Frontiers in Neuroscience, 16, Article 907540. https://doi.org/10.3389/fnins.2022.907540

Højlund, A., Horn, N. T., Sørensen, S. D., McGregor, W. B. & Wallentin, M. (2022). Foreign language learning and the mismatch negativity (MMN): A longitudinal ERP study. NeuroImage: Reports, 2(4), Article 100138. https://doi.org/10.1016/j.ynirp.2022.100138

Kjelstrom, A. H. & Pavlogiannis, A. (2022). The Decidability and Complexity of Interleaved Bidirected Dyck Reachability. Proceedings of the ACM on Programming Languages , 6(POPL), Article 12. https://doi.org/10.1145/3498673

Madsen, M., Starup, J. L. & Lhoták, O. (2022). Flix: A Meta Programming Language for Datalog. In Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022) (pp. 202-206). CEUR-WS.org. https://ceur-ws.org/Vol-3203/short8.pdf

Madsen, M. (2022). The Principles of the Flix Programming Language. In Onward! 2022 - Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, co-located with SPLASH 2022 (pp. 112-127). Association for Computing Machinery. https://doi.org/10.1145/3563835.3567661

Mathur, U., Pavlogiannis, A., Tunc, H. C. & Viswanathan, M. (2022). A Tree Clock Data Structure for Causal Orderings in Concurrent Executions. In B. Falsafi, M. Ferdman, S. Lu & T. F. Wenisch (Eds.), ASPLOS 2022 - Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 710-725). Association for Computing Machinery. https://doi.org/10.1145/3503222.3507734

Seeberg, A. B., Vuust, P., Højlund, A., Fletcher, M., Perry, S., F. Faulkner, K. & Petersen, B. (2022). Feel the beat and improve the groove: multimodal rhythm perception in cochlear implant users. Poster session presented at CI2022 DC Emerging Issues in Cochlear Implantation, Washington D. C., United States.

Seeberg, A. B., Vuust, P., Højlund, A., Fletcher, M., Perry, S., F. Faulkner, K. & Petersen, B. (2022). Feel the beat and improve the groove: multimodal rhythm perception in cochlear implant users. Poster session presented at SysMus22 - International Conference Series of Students of Systematic Musicology, Ghent, Belgium.

Svoboda, J., Tkadlec, J., Pavlogiannis, A., Chatterjee, K. & Nowak, M. A. (2022). Infection dynamics of COVID-19 virus under lockdown and reopening. Scientific Reports, 12, Article 1526. https://doi.org/10.1038/s41598-022-05333-5

Veileborg, O. H., Saioc, G.-V. & Møller, A. (2022). Detecting Blocking Errors in Go Programs using Localized Abstract Interpretation. In iWOAR 2022 - 7th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, Proceedings (pp. 1-12). Article 32 Association for Computing Machinery. https://doi.org/10.1145/3551349.3561154

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Sofia Hedegaard Rasmussen