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Department of Computer Science

Publications

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

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

Endo, A. T. & Møller, A. (2020). NodeRacer: Event Race Detection for Node.js Applications. In 2020 IEEE 13th International Conference on Software Testing, Verification and Validation, ICST 2020: Proceedings (pp. 120-130). Article 9159075 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICST46399.2020.00022

Hyder, R., Højlund, A., Jensen, M., Østergaard, K. & Shtyrov, Y. (2020). Objective assessment of automatic language comprehension mechanisms in the brain: Novel E/MEG paradigm. Psychophysiology, 57(5), Article e13543. https://doi.org/10.1111/psyp.13543

Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R. & Pavlogiannis, A. (2020). Optimal and Perfectly Parallel Algorithms for On-demand Data-Flow Analysis. In P. Müller (Ed.), Programming Languages and Systems- 29th European Symposium on Programming, ESOP 2020 held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Proceedings (pp. 112-140). Springer. https://doi.org/10.1007/978-3-030-44914-8_5

Madsen, M. & Pol, J. V. D. (2020). Polymorphic types and effects with Boolean unification. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428222

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

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

Mathur, U., Pavlogiannis, A. & Viswanathan, M. (2020). The Complexity of Dynamic Data Race Prediction. In Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2020 (pp. 713–727). Article 3394783 Association for Computing Machinery. https://doi.org/10.1145/3373718.3394783

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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. (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

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Sofia Hedegaard Rasmussen