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Publications

Alves, J. N., Westner, B. U., Højlund, A., Weil, R. S. & Dalal, S. S. (2023). Structural and functional changes in the retina in Parkinson's disease. Journal of neurology, neurosurgery, and psychiatry, 94(6), 448-456. https://doi.org/10.1136/jnnp-2022-329342
Ganguly, S., Jain, A., Koppula, A., Sasidharan, S., Dattada, V. V. M., Hojlund, A. & Sridharan, K. S. (2023). Handling MEG Data Corrupted with Deep Brain Stimulation Artifacts - Some Pointers. In 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI) IEEE. https://doi.org/10.1109/ICAEECI58247.2023.10370869
Larsen, C. A., Schmidt, S. M., Steensgaard, J., Jakobsen, A. B., Pol, J. V. D. & Pavlogiannis, A. (2023). A Truly Symbolic Linear-Time Algorithm for SCC Decomposition. In S. Sankaranarayanan & N. Sharygina (Eds.), Tools and Algorithms for the Construction and Analysis of Systems: 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings, Part II (pp. 353-371). Springer. https://doi.org/10.1007/978-3-031-30820-8_22
Lutze, M., Madsen, M., Schuster, P. & Brachthäuser, J. I. (2023). With or Without You: Programming with Effect Exclusion. Proceedings of the ACM on Programming Languages , 7(ICFP), 448-475. https://doi.org/10.1145/3607846
Madsen, M., Van De Pol, J. & Henriksen, T. (2023). Fast and Efficient Boolean Unification for Hindley-Milner-Style Type and Effect Systems. Proceedings of the ACM on Programming Languages , 7(OOPSLA2), 516–543. Article 240. https://doi.org/10.1145/3622816
Madsen, M. & Pol, J. V. D. (2023). Programming with Purity Reflection: Peaceful Coexistence of Effects, Laziness, and Parallelism. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming (ECOOP 2023) Article 18 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.18
Madsen, M., Starup, J. L. & Lutze, M. (2023). Restrictable Variants: A Simple and Practical Alternative to Extensible Variants. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming, ECOOP 2023 (pp. 17:1-17:27). Article 17 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.17
Müller, M., Schuster, P., Starup, J. L., Ostermann, K. & Brachthäuser, J. I. (2023). From Capabilities to Regions: Enabling Efficient Compilation of Lexical Effect Handlers. Proceedings of the ACM on Programming Languages , 7(OOPSLA2), Article 255. https://doi.org/10.1145/3622831
Petsinis, P., Pavlogiannis, A. & Karras, P. (2023). Maximizing the Probability of Fixation in the Positional Voter Model. In B. Williams, Y. Chen & J. Neville (Eds.), AAAI-23 Technical Tracks 10 (pp. 12269-12277). Article 190493 AAAI Press.
Seeberg, A. B., Matthews, T., Højlund, A., Petersen, B. & Vuust, P. (2023). Beyond syncopation: the importance of rhythmic streams for the experience of groove. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.
Seeberg, A. B., Matthews, T., Højlund, A., Vuust, P. & Petersen, B. (2023). Rhythm perception and experience of groove in cochlear implant users. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.
Starup, J. L., Madsen, M. & Lhoták, O. (2023). Breaking the Negative Cycle: Exploring the Design Space of Stratification for First-Class Datalog Constraints. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming, ECOOP 2023 Article 31 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.31
Tunç, H. C., Abdulla, P. A., Chakraborty, S., Krishna, S., Mathur, U. & Pavlogiannis, A. (2023). Optimal Reads-From Consistency Checking for C11-Style Memory Models. Proceedings of the ACM on Programming Languages , 7(PLDI), 761–785. Article 137. https://doi.org/10.1145/3591251
Tunç, H. C., Mathur, U., Pavlogiannis, A. & Viswanathan, M. (2023). Sound Dynamic Deadlock Prediction in Linear Time. Proceedings of the ACM on Programming Languages , 7, 1733-1758. https://doi.org/10.1145/3591291
Chakraborty, S., Krishna, S. N., Mathur, U. & Pavlogiannis, A. (2024). How Hard Is Weak-Memory Testing? Proceedings of the ACM on Programming Languages , 8, Article 66. https://doi.org/10.1145/3632908
Chakraborty, M., Gnanakumar, A., Sridharan, M. & Møller, A. (2024). Indirection-Bounded Call Graph Analysis. In J. Aldrich & G. Salvaneschi (Eds.), 38th European Conference on Object-Oriented Programming, ECOOP 2024 Article 3 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2024.10
Conrado, G. K. & Pavlogiannis, A. (2024). A Better Approximation for Interleaved Dyck Reachability. In SOAP 2024 - Proceedings of the 13th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis (pp. 18-25). Association for Computing Machinery. https://doi.org/10.1145/3652588.3663318
Jakobsen, A. B., Jørgensen, R. S. M., van de Pol, J. & Pavlogiannis, A. (2024). Fast Symbolic Computation of Bottom SCCs. In B. Finkbeiner & L. Kovács (Eds.), Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2024 (pp. 110-128). Springer. https://doi.org/10.1007/978-3-031-57256-2_6
Krishna, S., Lal, A., Pavlogiannis, A. & Tuppe, O. (2024). On-the-Fly Static Analysis via Dynamic Bidirected Dyck Reachability. Proceedings of the ACM on Programming Languages , 8(POPL), 1239-1268. https://doi.org/10.1145/3632884
Ma, W., Egger, M. K., Pavlogiannis, A., Li, Y. & Karras, P. (2024). Reachability-Aware Fair Influence Maximization. In W. Zhang, Z. Yang, X. Wang, A. Tung, Z. Zheng & H. Guo (Eds.), Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Proceedings: 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part III (pp. 342-359). BMJ, Springer Nature. https://doi.org/10.1007/978-981-97-7238-4_22
Petsinis, P., Zhang, K., Pavlogiannis, A., Zhou, J. & Karras, P. (2024). Robust Reward Placement under Uncertainty. In K. Larson (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 6770-6778). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2024/748
Petsinis, P., Pavlogiannis, A., Tkadlec, J. & Karras, P. (2024). Seed Selection in the Heterogeneous Moran Process. In K. Larson (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 2297-2305). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2024/254
Saioc, G.-V., Lange, J. & Møller, A. (2024). Automated Verification of Parametric Channel-Based Process Communication. In Proceedings of the ACM on Programming Languages (Vol. 8, pp. 2070-2096). Article 344 https://doi.org/10.1145/3689784
Schenck, R., Hinnerskov, N. H., Henriksen, T., Madsen, M. & Elsman, M. (2024). AUTOMAP: Inferring Rank-Polymorphic Function Applications with Integer Linear Programming. Proceedings of the ACM on Programming Languages , 8(OOPSLA2), 1787-1813. Article 334. https://doi.org/10.1145/3689774
Shi, Z., Mathur, U. & Pavlogiannis, A. (2024). Optimistic Prediction of Synchronization-Reversal Data Races. In Proceedings - 2024 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2024: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (pp. 1-13). Article 134 Association for Computing Machinery. https://doi.org/10.1145/3597503.3639099
Tunç, H. C., Deshmukh, A. P., Çirisci, B., Enea, C. & Pavlogiannis, A. (2024). CSSTs: A Dynamic Data Structure for Partial Orders in Concurrent Execution Analysis. In ASPLOS '24: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (Vol. 3, pp. 223-238). Association for Computing Machinery. https://doi.org/10.1145/3620666.3651358
Conrado, G. K. & Pavlogiannis, A. (2025). CFL-based methods for approximating interleaved Dyck reachability. International Journal on Software Tools for Technology Transfer, 27(2), 255-266. Article 106135. https://doi.org/10.1007/s10009-025-00787-0
Endo, A. T. & Møller, A. (2025). Event Race Detection for Node.js Using Delay Injections. In J. Aldrich & A. Silva (Eds.), 39th European Conference on Object-Oriented Programming, ECOOP 2025 Article 9 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2025.9
Madsen, M. & Lhoták, O. (2025). Flix: A Design for Language-Integrated Datalog. Proceedings of the ACM on Programming Languages , 9(OOPSLA2), 2115-2143. https://doi.org/10.1145/3763126
Møldrup, L. & Pavlogiannis, A. (2025). AWDIT: An Optimal Weak Database Isolation Tester. Proceedings of the ACM on Programming Languages , 9, 1540-1564. Article 209. https://doi.org/10.1145/3742465
Saioc, G.-V., Lee, I.-T. A., Møller, A. & Chabbi, M. (2025). Dynamic Partial Deadlock Detection and Recovery via Garbage Collection. In ASPLOS 2025 - Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 244-259). Association for Computing Machinery. https://doi.org/10.1145/3676641.3715990
Tan, J. & Madsen, M. (2025). Overloading the Dot. In D. Kluss, S. Achour & J. Palsberg (Eds.), CC 2025 - Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction (pp. 60-69). Association for Computing Machinery. https://doi.org/10.1145/3708493.3712684